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Journal of Neuropathology and Experimental Neurology

journal of neuropathology & experimental neurology

Subject Area and Category

  • Medicine (miscellaneous)
  • Neurology (clinical)
  • Pathology and Forensic Medicine
  • Cellular and Molecular Neuroscience

Oxford University Press

Publication type

00223069, 15546578

Information

How to publish in this journal

[email protected]

journal of neuropathology & experimental neurology

The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.

CategoryYearQuartile
Cellular and Molecular Neuroscience1999Q1
Cellular and Molecular Neuroscience2000Q1
Cellular and Molecular Neuroscience2001Q1
Cellular and Molecular Neuroscience2002Q1
Cellular and Molecular Neuroscience2003Q1
Cellular and Molecular Neuroscience2004Q1
Cellular and Molecular Neuroscience2005Q1
Cellular and Molecular Neuroscience2006Q1
Cellular and Molecular Neuroscience2007Q1
Cellular and Molecular Neuroscience2008Q1
Cellular and Molecular Neuroscience2009Q1
Cellular and Molecular Neuroscience2010Q2
Cellular and Molecular Neuroscience2011Q1
Cellular and Molecular Neuroscience2012Q1
Cellular and Molecular Neuroscience2013Q1
Cellular and Molecular Neuroscience2014Q2
Cellular and Molecular Neuroscience2015Q1
Cellular and Molecular Neuroscience2016Q2
Cellular and Molecular Neuroscience2017Q2
Cellular and Molecular Neuroscience2018Q2
Cellular and Molecular Neuroscience2019Q2
Cellular and Molecular Neuroscience2020Q2
Cellular and Molecular Neuroscience2021Q2
Cellular and Molecular Neuroscience2022Q2
Cellular and Molecular Neuroscience2023Q2
Medicine (miscellaneous)1999Q1
Medicine (miscellaneous)2000Q1
Medicine (miscellaneous)2001Q1
Medicine (miscellaneous)2002Q1
Medicine (miscellaneous)2003Q1
Medicine (miscellaneous)2004Q1
Medicine (miscellaneous)2005Q1
Medicine (miscellaneous)2006Q1
Medicine (miscellaneous)2007Q1
Medicine (miscellaneous)2008Q1
Medicine (miscellaneous)2009Q1
Medicine (miscellaneous)2010Q1
Medicine (miscellaneous)2011Q1
Medicine (miscellaneous)2012Q1
Medicine (miscellaneous)2013Q1
Medicine (miscellaneous)2014Q1
Medicine (miscellaneous)2015Q1
Medicine (miscellaneous)2016Q1
Medicine (miscellaneous)2017Q1
Medicine (miscellaneous)2018Q1
Medicine (miscellaneous)2019Q1
Medicine (miscellaneous)2020Q1
Medicine (miscellaneous)2021Q1
Medicine (miscellaneous)2022Q1
Medicine (miscellaneous)2023Q1
Neurology1999Q1
Neurology2000Q1
Neurology2001Q1
Neurology2002Q1
Neurology2003Q1
Neurology2004Q1
Neurology2005Q1
Neurology2006Q1
Neurology2007Q1
Neurology2008Q1
Neurology2009Q1
Neurology2010Q1
Neurology2011Q1
Neurology2012Q1
Neurology2013Q1
Neurology2014Q1
Neurology2015Q1
Neurology2016Q1
Neurology2017Q1
Neurology2018Q1
Neurology2019Q1
Neurology2020Q1
Neurology2021Q2
Neurology2022Q2
Neurology2023Q2
Neurology (clinical)1999Q1
Neurology (clinical)2000Q1
Neurology (clinical)2001Q1
Neurology (clinical)2002Q1
Neurology (clinical)2003Q1
Neurology (clinical)2004Q1
Neurology (clinical)2005Q1
Neurology (clinical)2006Q1
Neurology (clinical)2007Q1
Neurology (clinical)2008Q1
Neurology (clinical)2009Q1
Neurology (clinical)2010Q1
Neurology (clinical)2011Q1
Neurology (clinical)2012Q1
Neurology (clinical)2013Q1
Neurology (clinical)2014Q1
Neurology (clinical)2015Q1
Neurology (clinical)2016Q1
Neurology (clinical)2017Q1
Neurology (clinical)2018Q1
Neurology (clinical)2019Q1
Neurology (clinical)2020Q1
Neurology (clinical)2021Q2
Neurology (clinical)2022Q1
Neurology (clinical)2023Q1
Pathology and Forensic Medicine1999Q1
Pathology and Forensic Medicine2000Q1
Pathology and Forensic Medicine2001Q1
Pathology and Forensic Medicine2002Q1
Pathology and Forensic Medicine2003Q1
Pathology and Forensic Medicine2004Q1
Pathology and Forensic Medicine2005Q1
Pathology and Forensic Medicine2006Q1
Pathology and Forensic Medicine2007Q1
Pathology and Forensic Medicine2008Q1
Pathology and Forensic Medicine2009Q1
Pathology and Forensic Medicine2010Q1
Pathology and Forensic Medicine2011Q1
Pathology and Forensic Medicine2012Q1
Pathology and Forensic Medicine2013Q1
Pathology and Forensic Medicine2014Q1
Pathology and Forensic Medicine2015Q1
Pathology and Forensic Medicine2016Q1
Pathology and Forensic Medicine2017Q1
Pathology and Forensic Medicine2018Q1
Pathology and Forensic Medicine2019Q1
Pathology and Forensic Medicine2020Q1
Pathology and Forensic Medicine2021Q1
Pathology and Forensic Medicine2022Q1
Pathology and Forensic Medicine2023Q1

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

YearSJR
19992.520
20002.473
20012.578
20022.527
20032.286
20042.483
20052.314
20062.517
20072.549
20082.909
20092.457
20102.061
20112.290
20122.301
20132.523
20142.209
20152.269
20161.827
20171.818
20181.669
20191.366
20201.441
20211.003
20221.050
20231.026

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

YearDocuments
1999123
2000109
2001117
2002111
2003112
2004115
2005120
2006129
2007115
2008113
2009120
2010113
2011101
201291
2013100
2014103
2015104
2016109
2017102
2018108
2019115
2020114
2021160
2022117
2023100

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per documentYearValue
Cites / Doc. (4 years)19995.005
Cites / Doc. (4 years)20005.246
Cites / Doc. (4 years)20015.430
Cites / Doc. (4 years)20025.245
Cites / Doc. (4 years)20035.089
Cites / Doc. (4 years)20045.269
Cites / Doc. (4 years)20055.481
Cites / Doc. (4 years)20065.707
Cites / Doc. (4 years)20075.481
Cites / Doc. (4 years)20085.522
Cites / Doc. (4 years)20095.468
Cites / Doc. (4 years)20105.128
Cites / Doc. (4 years)20114.972
Cites / Doc. (4 years)20125.246
Cites / Doc. (4 years)20135.176
Cites / Doc. (4 years)20144.622
Cites / Doc. (4 years)20154.547
Cites / Doc. (4 years)20164.118
Cites / Doc. (4 years)20173.644
Cites / Doc. (4 years)20183.505
Cites / Doc. (4 years)20193.310
Cites / Doc. (4 years)20203.710
Cites / Doc. (4 years)20213.640
Cites / Doc. (4 years)20223.121
Cites / Doc. (4 years)20232.405
Cites / Doc. (3 years)19995.005
Cites / Doc. (3 years)20005.247
Cites / Doc. (3 years)20015.555
Cites / Doc. (3 years)20025.401
Cites / Doc. (3 years)20034.932
Cites / Doc. (3 years)20045.350
Cites / Doc. (3 years)20055.447
Cites / Doc. (3 years)20065.530
Cites / Doc. (3 years)20075.239
Cites / Doc. (3 years)20085.519
Cites / Doc. (3 years)20095.244
Cites / Doc. (3 years)20104.730
Cites / Doc. (3 years)20114.838
Cites / Doc. (3 years)20125.135
Cites / Doc. (3 years)20134.977
Cites / Doc. (3 years)20144.616
Cites / Doc. (3 years)20154.354
Cites / Doc. (3 years)20163.668
Cites / Doc. (3 years)20173.563
Cites / Doc. (3 years)20183.403
Cites / Doc. (3 years)20193.163
Cites / Doc. (3 years)20203.603
Cites / Doc. (3 years)20213.629
Cites / Doc. (3 years)20222.715
Cites / Doc. (3 years)20232.253
Cites / Doc. (2 years)19994.828
Cites / Doc. (2 years)20005.198
Cites / Doc. (2 years)20015.431
Cites / Doc. (2 years)20024.996
Cites / Doc. (2 years)20034.925
Cites / Doc. (2 years)20045.175
Cites / Doc. (2 years)20055.048
Cites / Doc. (2 years)20065.102
Cites / Doc. (2 years)20075.205
Cites / Doc. (2 years)20085.291
Cites / Doc. (2 years)20094.873
Cites / Doc. (2 years)20104.614
Cites / Doc. (2 years)20114.657
Cites / Doc. (2 years)20124.678
Cites / Doc. (2 years)20134.734
Cites / Doc. (2 years)20144.419
Cites / Doc. (2 years)20153.488
Cites / Doc. (2 years)20163.435
Cites / Doc. (2 years)20173.300
Cites / Doc. (2 years)20183.242
Cites / Doc. (2 years)20192.786
Cites / Doc. (2 years)20203.475
Cites / Doc. (2 years)20213.039
Cites / Doc. (2 years)20222.438
Cites / Doc. (2 years)20232.123

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

CitesYearValue
Self Cites1999114
Self Cites200088
Self Cites2001111
Self Cites200291
Self Cites200372
Self Cites200471
Self Cites200567
Self Cites200671
Self Cites200759
Self Cites200860
Self Cites200975
Self Cites201028
Self Cites201149
Self Cites201249
Self Cites201345
Self Cites201429
Self Cites201549
Self Cites201644
Self Cites201750
Self Cites201832
Self Cites201940
Self Cites202034
Self Cites202142
Self Cites202243
Self Cites202328
Total Cites19992047
Total Cites20002078
Total Cites20011983
Total Cites20021885
Total Cites20031662
Total Cites20041819
Total Cites20051841
Total Cites20061919
Total Cites20071907
Total Cites20082009
Total Cites20091872
Total Cites20101646
Total Cites20111674
Total Cites20121715
Total Cites20131518
Total Cites20141348
Total Cites20151280
Total Cites20161126
Total Cites20171126
Total Cites20181072
Total Cites20191009
Total Cites20201171
Total Cites20211223
Total Cites20221056
Total Cites2023881

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

CitesYearValue
External Cites per document19994.726
External Cites per document20005.025
External Cites per document20015.244
External Cites per document20025.140
External Cites per document20034.718
External Cites per document20045.141
External Cites per document20055.249
External Cites per document20065.326
External Cites per document20075.077
External Cites per document20085.354
External Cites per document20095.034
External Cites per document20104.649
External Cites per document20114.697
External Cites per document20124.988
External Cites per document20134.830
External Cites per document20144.517
External Cites per document20154.187
External Cites per document20163.524
External Cites per document20173.405
External Cites per document20183.302
External Cites per document20193.038
External Cites per document20203.498
External Cites per document20213.504
External Cites per document20222.604
External Cites per document20232.182
Cites per document19995.005
Cites per document20005.247
Cites per document20015.555
Cites per document20025.401
Cites per document20034.932
Cites per document20045.350
Cites per document20055.447
Cites per document20065.530
Cites per document20075.239
Cites per document20085.519
Cites per document20095.244
Cites per document20104.730
Cites per document20114.838
Cites per document20125.135
Cites per document20134.977
Cites per document20144.616
Cites per document20154.354
Cites per document20163.668
Cites per document20173.563
Cites per document20183.403
Cites per document20193.163
Cites per document20203.603
Cites per document20213.629
Cites per document20222.715
Cites per document20232.253

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

YearInternational Collaboration
199927.64
200028.44
200133.33
20024.50
200328.57
200429.57
200529.17
200634.88
200737.39
200845.13
200938.33
201037.17
201131.68
201231.87
201328.00
201432.04
201530.77
201627.52
201729.41
201832.41
201933.91
202029.82
202118.13
202215.38
20236.00

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

DocumentsYearValue
Non-citable documents199927
Non-citable documents200021
Non-citable documents20017
Non-citable documents20028
Non-citable documents20039
Non-citable documents20049
Non-citable documents20057
Non-citable documents20065
Non-citable documents200713
Non-citable documents200815
Non-citable documents200916
Non-citable documents20108
Non-citable documents201112
Non-citable documents201215
Non-citable documents201316
Non-citable documents201412
Non-citable documents201514
Non-citable documents201616
Non-citable documents201721
Non-citable documents201820
Non-citable documents201919
Non-citable documents202011
Non-citable documents202117
Non-citable documents202260
Non-citable documents202389
Citable documents1999382
Citable documents2000375
Citable documents2001350
Citable documents2002341
Citable documents2003328
Citable documents2004331
Citable documents2005331
Citable documents2006342
Citable documents2007351
Citable documents2008349
Citable documents2009341
Citable documents2010340
Citable documents2011334
Citable documents2012319
Citable documents2013289
Citable documents2014280
Citable documents2015280
Citable documents2016291
Citable documents2017295
Citable documents2018295
Citable documents2019300
Citable documents2020314
Citable documents2021320
Citable documents2022329
Citable documents2023302

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

DocumentsYearValue
Uncited documents199965
Uncited documents200061
Uncited documents200144
Uncited documents200239
Uncited documents200339
Uncited documents200435
Uncited documents200537
Uncited documents200625
Uncited documents200738
Uncited documents200843
Uncited documents200944
Uncited documents201048
Uncited documents201143
Uncited documents201240
Uncited documents201343
Uncited documents201438
Uncited documents201545
Uncited documents201648
Uncited documents201766
Uncited documents201870
Uncited documents201979
Uncited documents202062
Uncited documents202156
Uncited documents202295
Uncited documents2023134
Cited documents1999344
Cited documents2000335
Cited documents2001313
Cited documents2002310
Cited documents2003298
Cited documents2004305
Cited documents2005301
Cited documents2006322
Cited documents2007326
Cited documents2008321
Cited documents2009313
Cited documents2010300
Cited documents2011303
Cited documents2012294
Cited documents2013262
Cited documents2014254
Cited documents2015249
Cited documents2016259
Cited documents2017250
Cited documents2018245
Cited documents2019240
Cited documents2020263
Cited documents2021281
Cited documents2022294
Cited documents2023257

Evolution of the percentage of female authors.

YearFemale Percent
199935.56
200030.97
200127.40
200230.00
200334.98
200436.15
200534.70
200633.92
200737.33
200839.69
200939.84
201040.38
201139.48
201241.32
201342.74
201442.18
201542.30
201640.64
201741.92
201843.42
201938.60
202042.39
202140.28
202239.91
202347.76

Evolution of the number of documents cited by public policy documents according to Overton database.

DocumentsYearValue
Overton19997
Overton200012
Overton20018
Overton20027
Overton200315
Overton20044
Overton20057
Overton200612
Overton200710
Overton20083
Overton20090
Overton20100
Overton20110
Overton20120
Overton20130
Overton20140
Overton20150
Overton201612
Overton20173
Overton20183
Overton20193
Overton20201
Overton20211
Overton20221
Overton20230

Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.

DocumentsYearValue
SDG201821
SDG201929
SDG202017
SDG202135
SDG202229
SDG202322

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JOURNAL OF NEUROPATHOLOGY AND EXPERIMENTAL NEUROLOGY - WoS Journal Info

Identifiers

Linking ISSN (ISSN-L): 0022-3069

Incorrect ISSN: 0022-3069

URL http://journals.lww.com/jneuropath/pages/default.aspx

URL http://jnen.oxfordjournals.org/

KEEPERS link https://archive.org/details/pub_journal-of-neuropathology-and-experimental-neurology

Google https://www.google.com/search?q=ISSN+%221554-6578%22

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Yahoo https://search.yahoo.com/search?p=ISSN%20%221554-6578%22

Pubmed https://pubmed.ncbi.nlm.nih.gov/?term=%221554-6578%22%5BJournal%5D&sort=

Resource information

Archival status.

logo Keepers

Title proper: Journal of neuropathology and experimental neurology.

Country: United States

Medium: Online

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Oxford University Press

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Oxford University Press, UK

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26/04/2024

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Oxford University Press

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Oxford University Press

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Oxford University Press

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Type of record: Confirmed

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Stages of the pathologic process in Alzheimer disease: age categories from 1 to 100 years

Affiliation.

  • 1 Clinical Neuroanatomy, Department of Neurology, and Laboratory for Neuropathology - Institute of Pathology, Center for Clinical Research, University of Ulm, Germany. [email protected]
  • PMID: 22002422
  • DOI: 10.1097/NEN.0b013e318232a379

Two thousand three hundred and thirty two nonselected brains from 1- to 100-year-old individuals were examined using immunocytochemistry (AT8) and Gallyas silver staining for abnormal tau; immunocytochemistry (4G8) and Campbell-Switzer staining were used for the detection ofβ-amyloid. A total of 342 cases was negative in the Gallyas stain but when restaged for AT8 only 10 were immunonegative. Fifty-eight cases had subcortical tau predominantly in the locus coeruleus, but there was no abnormal cortical tau (subcortical Stages a-c). Cortical involvement (abnormal tau in neurites) was identified first in the transentorhinal region (Stage 1a, 38 cases). Transentorhinal pyramidal cells displayed pretangle material (Stage 1b, 236 cases). Pretangles gradually became argyrophilic neurofibrillary tangles (NFTs) that progressed in parallel with NFT Stages I to VI. Pretangles restricted to subcortical sites were seen chiefly at younger ages. Of the total cases, 1,031 (44.2%) had β-amyloid plaques. The first plaques occurred in the neocortex after the onset of tauopathy in the brainstem. Plaques generally developed in the 40s in 4% of all cases, culminating in their tenth decade (75%). β-amyloid plaques and NFTs were significantly correlated (p < 0.0001). These data suggest that tauopathy associated with sporadic Alzheimer disease may begin earlier than previously thought and possibly in the lower brainstem rather than in the transentorhinal region.

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Chronic Traumatic Encephalopathy in Athletes: Progressive Tauopathy following Repetitive Head Injury

Ann c. mckee.

1 Department of Neurology, Boston University School of Medicine, Boston, Massachusetts

2 Department of Pathology, Boston University School of Medicine, Boston, Massachusetts

3 Center for the Study of Traumatic Encephalopathy, Boston University School of Medicine, Boston, Massachusetts

4 Geriatric Research Education Clinical Center, Bedford Veterans Administration Medical Center, Bedford, Massachusetts

Robert C. Cantu

5 Sports Legacy Institute, Waltham, MA

6 Department of Neurosurgery, Boston University School of Medicine, Boston, Massachusetts

7 Department of Neurosurgery, Emerson Hospital, Concord, MA

Christopher J. Nowinski

E. tessa hedley-whyte.

8 CS Kubik Laboratory for Neuropathology, Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts

Brandon E. Gavett

Andrew e. budson, veronica e. santini, hyo-soon lee, caroline a. kubilus, robert a. stern.

Since the 1920s, it has been known that the repetitive brain trauma associated with boxing may produce a progressive neurological deterioration, originally termed “dementia pugilistica” and more recently, chronic traumatic encephalopathy (CTE). We review the 47 cases of neuropathologically verified CTE recorded in the literature and document the detailed findings of CTE in 3 professional athletes: one football player and 2 boxers. Clinically, CTE is associated with memory disturbances, behavioral and personality changes, Parkinsonism, and speech and gait abnormalities. Neuropathologically, CTE is characterized by atrophy of the cerebral hemispheres, medial temporal lobe, thalamus, mammillary bodies, and brainstem, with ventricular dilatation and a fenestrated cavum septum pellucidum. Microscopically, there are extensive tau-immunoreactive neurofibrillary tangles, astrocytic tangles, and spindle-shaped and threadlike neurites throughout the brain. The neurofibrillary degeneration of CTE is distinguished from other tauopathies by preferential involvement of the superficial cortical layers, irregular, patchy distribution in the frontal and temporal cortices, propensity for sulcal depths, prominent perivascular, periventricular and subpial distribution, and marked accumulation of tau-immunoreactive astrocytes. Deposition of beta amyloid, most commonly as diffuse plaques, occurs in fewer than half the cases. CTE is a neuropathologically distinct, slowly progressive tauopathy with a clear environmental etiology.

INTRODUCTION

Over recent years there has been increasing attention focused on the neurological sequelae of sports-related traumatic brain injury, particularly concussion. Concussion is a frequent occurrence in contact sports: 1.6 to 3.8 million sports-related concussions occur annually in the United States ( 1 – 3 ). Most sport-related head injury is minor and although the majority of athletes who suffer a concussion recover within a few days or weeks a small number of individuals develop long-lasting or progressive symptoms. This is especially true in cases of repetitive concussion or mild traumatic brain injury in which at least 17% of individuals develop chronic traumatic encephalopathy (CTE) ( 4 ). The precise incidence of CTE after repetitive head injury is unknown, however, and it is likely much higher. It is also unclear what severity or recurrence of head injury is required to initiate CTE; no well-designed prospective studies have addressed these important public health issues ( 5 – 10 ).

Repetitive closed head injury occurs in a wide variety of contact sports, including football, boxing, wrestling, rugby, hockey, lacrosse, soccer, and skiing. Furthermore, in collision sports such as football and boxing, players may experience thousands of subconcussive hits over the course of a single season ( 11 , 12 ). Although the long-term neurological and neuropathological sequelae associated with repetitive brain injury are best known in boxing, pathologically verified CTE has been reported in professional football players, a professional wrestler and a soccer player, as well as in epileptics, head bangers and domestic abuse victims ( 13 – 21 ). Other sports associated with a post-concussive syndrome include hockey, rugby, karate, horse riding, and parachuting ( 22 – 25 ), although the list is almost certainly more inclusive. Furthermore, additional large groups of individuals prone to repetitive head trauma, such as military veterans, may be at risk for CTE.

In this review, we present a summary of the 47 cases of neuropathologically verified CTE in the literature. We also report the clinical and immunocytochemical findings of CTE in 3 retired professional athletes, i.e. 1 football player and 2 boxers, ranging in age from 45 to 80 years. Although the cases previously reported in the literature detailed some of the characteristic gross and histological features of CTE, the spectrum of unique, regionally specific immunocytochemical abnormalities of phosphorylated tau that occur in this disorder have not been previously described. We demonstrate that although CTE shares many features of other neurodegenerative disorders, including Alzheimer disease (AD), progressive supranuclear palsy, post-encephalitic Parkinsonism, and the amyotrophic lateral sclerosis/Parkinson’s-dementia complex of Guam (ALS/PDC), CTE is a neuropathologically distinct, progressive tauopathy with a clear environmental etiology.

Clinical and Demographic Features of CTE

The concept of CTE was first introduced by Martland in 1928 who introduced the term ‘punch-drunk’ to a symptom complex that appeared to be the result of repeated sublethal blows to the head ( 26 ). This syndrome, long recognized in professional boxers, was termed “dementia pugilistica” by Millspaugh ( 27 ) and “the psychopathic deterioration of pugilists” by Courville ( 28 ). The symptoms of CTE are insidious, first manifest by deteriorations in attention, concentration, and memory, as well as disorientation and confusion, and occasionally accompanied by dizziness and headaches. With progressive deterioration, additional symptoms, such as lack of insight, poor judgment, and overt dementia, become manifest. Severe cases are accompanied by a progressive slowing of muscular movements, a staggered, propulsive gait, masked facies, impeded speech, tremors, vertigo, and deafness ( 27 ). Corsellis, Bruton, and Freeman-Browne described 3 stages of clinical deterioration as follows: The first stage is characterized by affective disturbances and psychotic symptoms. Social instability, erratic behavior, memory loss, and initial symptoms of Parkinson disease appear during the second stage. The third stage consists of general cognitive dysfunction progressing to dementia and is often accompanied by full-blown Parkinsonism, as well as speech and gait abnormalities. Other symptoms include dysarthria, dysphagia, and ocular abnormalities, such as ptosis ( 29 ). The severity of the disorder appears to correlate with the length of time engaged in the sport and the number of traumatic injuries, although whether a single traumatic brain injury can trigger the onset of CTE remains a matter of speculation.

Of the 51 neuropathologically confirmed cases of CTE, 46 (90%) occurred in athletes. The athletes included 39 boxers (85%) who fought as amateurs and as professionals for varying lengths of time (range: 4 to 25 years; mean: 14.4 years), 5 football players (11%), whose playing time ranged between 14 and 23 years ( M = 18.4 years, SD = 3.9); 1 professional wrestler, and 1 soccer player. The athletes began their respective sports at young ages, i.e. between 11 and 19 years ( M = 15.4 years, SD = 2.2) ( Tables 1 , ​ ,2). 2 ). The first symptoms of CTE were noticed at ages ranging from 25 to 76 years ( M = 42.8 years, SD = 12.7). One third were symptomatic at the time of their retirement from the sport and half were symptomatic within 4 years of stopping play. Common presenting symptoms included memory loss, irritability, outbursts of aggressive or violent behavior, confusion, speech abnormalities, cognitive decline, gait abnormalities, unsteadiness, headaches, slurred speech and Parkinsonism. In 14 cases (30%) there was a prominent mood disturbance, usually depression (28%); 1 boxer was described as having a “euphoric dementia” ( 31 ); another boxer was described as manic-depressive ( 35 ); and a football player was considered “bipolar” ( 40 ). In most of the reported cases, the disease progressed slowly over several decades (range: 2–46 years; M = 18.6 years, SD = 12.6) with increasing abnormalities in behavior and personality, memory loss, cognitive decline, and visuospatial difficulties. Movement abnormalities were eventually found in 42% subjects, consisting of Parkinsonism, staggered, slowed or shuffled gait, slowed, slurred or dysarthric speech, ataxia, ocular abnormalities and dysphagia. As Critchley noted in 1957, “Once established it not only does not permit reversibility, but ordinarily advances steadily, even though the boxer has retired from the ring”( 42 ).

Demographic Information

Case NumberReferenceGenderSport/actiivityAge Sport Begun (years)Years of PlayAge at Onset Symptoms (years)Interval between retirement and symptoms
(years)
Interval between symptom onset and death
(years)
Age at Death (years)ApoE Genotype
1 MBoxing171138101351
2 MBoxing15143661248
3 MBoxing14104610753
4 MBoxing18648241058
5 MBoxing449
6 MBoxing
7 MBoxing
8 MBoxing1672513358
9 MBoxing1212306
10 MBoxing15203601046
11 MBoxing19123101546
12 MBoxing1616408545
13 MBoxing15132801644
14 MBoxing1212428
15 MBoxing11142503863
16 MBoxing2050202777
17 MBoxing16143003363
18 MBoxing15253503469
19 MBoxing18183602561
20 MBoxing13253704683
21 MBoxing16205418862
22 MBoxing172360201171
23 MBoxing>103104172
24 MBoxing402767
25 MBoxing481967
26 MBoxing14164341457
27 MBoxing181061
28 MBoxing91
29 MBoxing58
30 FPhysical Abuse76
31 FAutistic Head banging24
32 MBoxing>2563
33 MBoxing>2569
34 MCircus Clown1533
35 MBoxing>1161371071
36 , MBoxing111223ε3/ε4
37 MBoxing165028
38 MHead banging28
39 MEpilepsy27
40 MSoccer23ε3/ε3
41 MBoxing106467ε3/ε4
42 MBoxing7678
43 MFootball162250ε3/ε3
44 MFootball18143521045ε3/ε3
45 MFootball1523380644ε3/ε4
46 MWrestling1822380240ε3/ε3
47 MFootball1617363336
48 MBoxing1617581361ε3/ε3
49Case 1MFootball1616409545ε4/ε4
50Case 2MBoxing17563331780ε3/ε4
51Case 3MBoxing112258251573ε3/ε3

M =48 male; F = female

Clinical Manifestations

x = Clinical feature was noted as present; blank = clinical feature was not mentioned

CTE in Football Players

Five football players, including our Case 1, had neuropathologically verified CTE at autopsy. All died suddenly in middle age (age at death, range 36–50 years, M = 44.0 years, SD = 5.0) and were younger at the time of death compared to boxers with CTE (boxers age at death, range: 23–91 years, M = 60.0 years, SD = 15.2). The duration of symptomatic illness was also shorter in the football players (range 3–10 years, M = 6.0 years, SD = 2.9) compared to the boxers (range 5–46 years, M = 20.6 years, SD = 12.3). All 5 football players played similar positions: 3 were offensive lineman, one was a defensive lineman and the other was a linebacker. In the football players, the most common symptoms were mood disorder (mainly depression), memory loss, paranoia, and poor insight or judgment (each found in 80%), outbursts of anger or aggression, irritability, and apathy (each found in 60%), confusion, reduced concentration, agitation, or hyperreligiosity (each found in 40%). Furthermore, 4 of the 5 experienced tragic deaths, i.e. 2 from suicide ( 16 , 17 ), 1 during a high-speed police chase ( 40 ), and another from an accidental gunshot while cleaning his gun (Case 1). Case 1 exemplifies these clinical features.

A 45-year-old right-handed Caucasian man died unexpectedly as a result of an accidental gunshot wound to the chest while he was cleaning a gun. He was a retired professional football player who played football in high school, 3 years of college and 10 years in the NFL as a linebacker. According to his wife, he was concussed 3 times during his college football years and at least 8 times during his NFL career; however, only 1 concussion was medically confirmed. He was never formally diagnosed with post-concussive syndrome and never sought medical attention for residual cognitive or behavioral difficulties. There was no history of ever losing consciousness for more than a few seconds and he never required being carried off the field or hospitalization.

At age 40, his family began to notice minor impairments in his short-term memory, attention, concentration, organization, planning, problem solving, judgment, and ability to juggle more than one task at one time. His spatial abilities were mildly impaired and his language was unaffected. He repeatedly asked the same questions over and over, he did not recall why he went to the store unless he had a list, and he would ask to rent a movie that he had already seen. These symptoms gradually increased and became pronounced by the end of his life 5 years later. Using a modification of the Family Version of the Cognitive Difficulties Scale ( 43 , 44 ) he had a moderate amount of cognitive difficulties. On a modified AD8 informant interview for dementia, he received a total score of 4, which indicated “cognitive impairment is likely to be present.” ( 45 ). By contrast, the Functional Activities Questionnaire (FAQ) ( 46 ), an informant-based measure of Instrumental Activities of Daily Living, did not indicate significant functional dependence despite his difficulty assembling tax records, shopping alone, and understanding television (total FAQ = 3). Moreover, he continued to perform his job as a hunting and fishing guide in a satisfactory manner.

Towards the end of his life, he tended to become angry and verbally aggressive over insignificant issues and was more emotionally labile. He also began to consume more alcohol but did not show other signs or symptoms of depression. He had no significant psychiatric history and he had never taken performance-enhancing or illicit drugs. His family history was negative for dementia and psychiatric illness.

CTE in Boxers

Boxing is the most frequent sport associated with CTE and disease duration is the longest in boxers, with case reports of individuals living for 33, 34, 38, 41 and 46 years with smoldering, yet symptomatic disease ( 29 ). Boxers with long-standing CTE are frequently demented (46%) and may be misdiagnosed clinically as AD ( 47 ), as occurred in Cases 2 and 3.

An 80-year-old African-American/American Indian man was first noted to have difficulty remembering things in his mid-twenties. He began boxing when he was 17, quickly rose to professional ranks and fought professionally for 5 years until he retired at age 22. He suffered a mild head injury in his early teenage years while moving farm equipment although he did not lose consciousness or suffer any permanent disability. By his mid-thirties he had brief, occasional episodes of confusion and a tendency to fall. His wife attributed his occasional forgetfulness, falls and confusion to being mildly “punch-drunk.” His symptoms remained more or less stable over the following 4 decades except for an increased tendency to become disoriented when traveling to unfamiliar places. By age 70, he got lost driving on familiar roads; he became increasingly confused and disoriented and did not recognize his daughter. By age 78, he was paranoid, his memory loss had increased, his gait was unsteady, his speech slowed and he fell frequently. He was easily agitated and required multiple hospitalizations for aggressive behaviors. He died at age 80 from complications of septic shock.

He had a period of alcohol abuse as a young adult but was abstinent for the last 40 years of his life. He smoked cigarettes for 20 years. He was employed as a roofer for most of his life and was in excellent physical condition, running miles and doing daily calisthenics. He had no history of depression or anxiety and was generally pleasant and even-tempered. His family history was positive for a paternal grandfather with a history of cognitive decline and a brother with AD. Cerebral computerized axial tomography performed 2 and 3 years before death revealed progressive cerebral and cerebellar atrophy and mild ventricular enlargement.

A 73-year-old Caucasian male began boxing at the age of 11 and fought as an amateur boxer for 9 years and as a professional boxer for 13 years. He fought a total of 48 professional bouts, accumulating 2 world championships before retiring at the age of 33. In his late 50s, he became forgetful with mood swings and restlessness. He changed from his normally happy, easy-going self to become apathetic, socially withdrawn, paranoid, irritable and sometimes violently agitated. Over the next 2 years, he began to confuse close relatives and developed increasing anxiety, aggression and agitation; on occasion, he was verbally abusive towards his wife and tried to strike her. He required neuroleptics for control of his behavior. The following year he had episodes of dizziness, which was suspected to be vertigo and resulted in a hospital admission. Neurological examination found him to be disoriented, inattentive, with very poor immediate and remote memory, and impaired visuospatial skills. Neuropsychological testing showed deficits in all cognitive domains, including executive functioning, attention, language, visuospatial abilities, and profound deficits in learning and memory. CT scan and MRI showed generalized cortical atrophy, enlargement of the cerebral ventricles, cavum septum pellucidum and a right globus pallidus lacune. An EEG, magnetic resonance angiogram and carotid ultrasound were normal. He smoked and drank alcohol occasionally until his early fifties. A first cousin developed dementia in her early 50s and 3 uncles and 1 aunt (of 11 children) were demented.

Over the following 2 years he continued to decline in all cognitive domains. He fell frequently and developed a tremor of his left hand. Repeat neuropsychological testing at age 67 revealed further global deficits, again with prominent impairments in memory. By age 70 he had severe swallowing difficulties, diminished upgaze, masked facies, garbled speech and a slow, shuffling gait. Mini-mental state examination several months prior to death was 7 out of 30. He died at age 73 from complications of pneumonia.

CTE in Other Sports and Activities

Other sports associated with neuropathologically verified CTE are professional wrestling ( 20 ), and soccer ( 13 ). The first known case of CTE in a professional wrestler involved a 40-year-old Caucasian man who began professional wrestling at age 18 and wrestled for the next 22 years ( 20 ) He was known for his rough, aggressive style and had suffered numerous concussions and a cervical fracture during his career. At age 36 he began to experience problems in his marriage with periods of depression and lapses of memory. During his 40th year he had episodes of violent behavior; he ultimately killed his wife and son and committed suicide. He was believed to have used anabolic steroids and prescription narcotics. His past medical history included a motor vehicle accident at age 6 requiring 3 days of hospitalization for mild traumatic brain injury without known neurological sequelae.

Geddes and colleagues reported finding mild changes of CTE in a 23-year-old amateur soccer player who regularly “headed” the ball while playing and had a history of a single severe head injury ( 13 ). Williams and Tannenberg reported the findings in a 33-year-old achondroplastic dwarf, with a long history of alcohol abuse, who worked for 15 years as a clown in a circus ( 19 ). He had been knocked unconscious “a dozen times” and participated in dwarf-throwing events.

Pathological Features of CTE

Gross pathology.

In their comprehensive description of the pathology, Corsellis and colleagues summarized the most common gross neuropathological findings, including 1) a reduction in brain weight, 2) enlargement of the lateral and third ventricles, 3) thinning of the corpus callosum, 4) cavum septum pellucidum with fenestrations, 5) scarring and neuronal loss of the cerebellar tonsils ( 29 ). The reduction in brain weight is generally mild (mean 1261 grams, range 950–1833) and associated with atrophy of the frontal lobe (36%), temporal lobe (31%), parietal lobe (22%), and less frequently, occipital lobe (3%) ( Tables 3 – 6 ). With increasing severity of the disease, atrophy of the hippocampus, entorhinal cortex and amygdala may become marked. The lateral ventricles (53%) and III ventricles (29%) are frequently dilated; rarely there is dilation of the IV ventricle (4%). Cavum septum pellucidum is often present (69%), usually with fenestrations (49%). Other common gross features include pallor of the substantia nigra and locus ceruleus, atrophy of the olfactory bulbs, thalamus, mammillary bodies, brainstem and cerebellum, and thinning of the corpus callosum. Many of these gross pathological features were found in our Cases 2 and 3.

Gross Pathological Features: Atrophy

0 = feature not present; + = mild; ++ = moderate; +++ = severe; blank = feature was not mentioned

Microscopic Pathological Features: Other

The brain weighed 1,360 grams. There was a mild yellow-brown discoloration in the leptomeninges over the temporal poles. There was mild atrophy of the frontal, parietal and temporal lobes, most pronounced in the temporal pole. The floor of the hypothalamus was thinned and translucent and the mammillary bodies were atrophic. The medial thalamus was atrophic and concave. The frontal, temporal and occipital horns of the lateral and third ventricles were enlarged with a 0.5-cm cavum septum pellucidum. The corpus callosum was thinned in its mid-portion. The anterior hippocampus, amygdala and entorhinal cortex were severely atrophic. By contrast, the posterior hippocampus was only mildly atrophic. The substantia nigra and locus ceruleus were markedly pale.

The brain weighed 1,220 grams. There was moderate atrophy of the frontal, parietal and temporal lobes, most pronounced in the temporal pole. The floor of the hypothalamus was markedly thinned and the mammillary bodies were atrophic. The corpus callosum was thinned, most prominently in its anterior portion. There was a large cavum septum pellucidum (0.8 cm) with fenestrations. The frontal and temporal horns of the lateral ventricles and the third ventricle were moderately enlarged. The entorhinal cortex, hippocampus, and amygdala were markedly atrophic throughout their entire extent. The medial thalamus was atrophic and concave. The perivascular spaces of the temporal and frontal white matter were prominent. A 1.0-cm lacune was present in the internal segment of the right globus pallidus. There was severe pallor of the substantia nigra and locus ceruleus with discoloration and atrophy of the frontopontine fibers in the cerebral peduncle.

Microscopic Pathology *

Neuronal loss.

A few reports in the literature (cases 3, 4, 10, 12, 14, 29; Table 5 ) described neuronal loss and gliosis in the hippocampus, substantia nigra and cerebral cortex without appreciable neurofibrillary pathology. Neuronal loss and gliosis most commonly accompany neurofibrillary degeneration, however, and are pronounced in the hippocampus, particularly the CA1 and subiculum, the entorhinal cortex and amygdala. If the disease is advanced, neuronal loss is also found in the subcallosal and insular cortex and to a lesser degree in the frontal and temporal cortex. Other areas of neuronal loss and gliosis include the mammillary bodies, medial thalamus, substantia nigra, locus ceruleus and nucleus accumbens. In Cases 2 and 3, the cerebral cortex showed mild neuronal loss in the insular and septal cortices and moderate neuronal loss in the entorhinal cortex, amygdala, medial thalamus, mammillary bodies, substantia nigra pars compacta and pars reticulata and to a lesser extent, locus ceruleus. In Case 2, CA1 of the hippocampus showed moderate loss of neurons, and in Case 3, CA1 and the subiculum of the hippocampus showed severe neuronal loss and gliosis.

Microscopic Pathological Features: Neuronal Loss

Case NumberFrontal CortexParietal CortexTemporal CortexOccipital CortexHippocampusEntorhinal CortexAmygdalaCerebellum
1
2
3+++++++++
4+++++++++
5
6
7
8
9
10
11
12
13
14
15+
16+++++++++
17
18
19
20++++
21
22++++
23++++
24
25
26++++++++++++
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48++++++++++
49 0000+++
50 ++++++++++
51 +++++++++++++++++

Tau Deposition

Neurofibrillary tangles (NFTs), astrocytic tangles, and dot-like and spindle-shaped neuropil neurites (NNs) are common in the dorsolateral frontal, subcallosal, insular, temporal, dorsolateral parietal, and inferior occipital cortices. The tau-immunoreactive neurofibrillary pathology is characteristically irregular in distribution with multifocal patches of dense NFTs in the superficial cortical layers, often in a perivascular arrangement. This superficial distribution of neocortical NFTs was originally described by Hof and colleagues who noted that the NFTs in CTE were preferentially distributed in layer II and the upper third of layer III in neocortical areas and generally more dense than in AD ( 47 ).

Geddes and colleagues drew attention to the perivascular distribution of NFTs in their description of the neuropathological alterations in the brain and frontal lobectomy specimens of 5 young men, ranging in age from 23 to 28 years ( 13 , 37 ). The 5 cases included 2boxers, a soccer player, a person described as “mentally subnormal” with a long history of head banging, and an epileptic patient who frequently hit his head during seizures. Microscopically, all the brains showed argyrophilic, tau-positive neocortical NFTs, strikingly arranged in groups around small intracortical blood vessels, associated with neuropil threads and granular tau-positive neurons. There were also NFTs along the basal surfaces of the brain, usually at the depths of sulci. The hippocampi of the 4 autopsy cases were normal.

In CTE, tau-immunoreactive protoplasmic astrocytes are interspersed throughout the superficial cortical layers appearing as plaque-like accumulations composed of primarily globular neurites. The corpus callosum and subcortical white matter of the cortex show NNs and fibrillar astrocytic tangles. The U-fibers are prominently involved. Subcortical white matter structures such as the extreme and external capsule, anterior and posterior commissures, thalamic fasciculus, and fornix also show NNs and astrocytic tangles.

Dense NFTs, ghost tangles, and astrocytic tangles are found in the olfactory bulbs, hippocampus, entorhinal cortex, and amygdala, often in greater density than is found in AD. Abundant NFTs and astrocytic tangles are also found in the thalamus, hypothalamus, mammillary bodies, nucleus basalis of Meynert, medial geniculate, substantia nigra (pars compacta more than the pars reticulata), locus ceruleus, superior colliculus, periaqueductal gray, medial lemniscus, oculomotor nucleus, trochlear nucleus, ventral tegmental area, dorsal and median raphe, trigeminal motor nucleus, pontine nuclei, hypoglossal nucleus, dorsal motor nucleus of the vagus, inferior olives and reticular formation. The nucleus accumbens is usually moderately affected; the globus pallidus, caudate, and putamen are less involved. In the brainstem and spinal cord, midline white matter tracts show dense astrocytic tangles especially around small capillaries. Fibrillar astrocytic tangles are also common in the subpial and periventricular zones. Neurons in the spinal cord gray matter contain NFTs, and astrocytic tangles are frequent in the ventral gray matter. This unique pattern of tau-immunoreactive pathology was found in all 3 of our cases, with increasing severity from Case 1 to Case 3.

NFTs immunopositive for tau epitopes ( Appendix ) were prominent in the inferior frontal, superior frontal, subcallosal, insular, temporal, and inferior parieto-temporal cortices ( Fig. 1 ). Primary visual cortex showed no NFTs; anterior and posterior cingulate cortex showed only scant NFTs. NFTs occurred in irregular patches, often greatest at the sulcal depths ( Fig. 2 ). Tau-positive fibrillar astrocytes (“astrocytic tangles”) were prominent in foci, especially in subpial regions and around small blood vessels ( Figs. 2 , ​ ,3). 3 ). NFTs were especially numerous in cortical laminae II and III, where a prominent perivascular distribution of neuronal NFTs and fibrillar astrocytic tangles was evident ( Fig. 3 ). Although some neuronal NFTs showed multiple tau-positive perisomatic processes, most neuronal NFTs were morphologically similar to those found in AD. In the cortex there were many tau-positive astrocytes bearing a corona of tau-positive processes. These tau-positive protoplasmic astrocytes were similar in appearance to the astrocytic plaques of corticobasal degeneration except that the perikaryon was often tau-positive ( Fig. 3 ).

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( A–D ) Case 1: Whole mount 50-μm coronal sections immunostained for tau with monoclonal antibody AT8 and counterstained with cresyl violet showing irregular, patchy deposition of phosphorylated tau protein in frontal, subcallosal, insular, temporal, and parietal cortices and the medial temporal lobe.

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( A–C ) Whole mount 50-μm coronal sections of superior frontal cortex from case 1 ( A ), case 2 ( B ), case 3 ( C ) immunostained for tau with monoclonal antibody CP-13 showing extensive immunoreactivity that is greatest at sulcal depths (asterisks) and is associated with contraction of the cortical ribbon. ( D–F ) Microscopically there are dense tau-immunoreactive neurofibrillary tangles (NFTs) and neuropil neurites throughout the cortex, case 1 ( D ), case 2 ( E ) and case 3 ( F ). There are focal nests of NFTs and astrocytic tangles around small blood vessels ( E , arrow) and plaque-like clusters of tau-immunoreactive astrocytic processes distributed throughout the cortical layers ( F , arrows).

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Whole mount 50-μm sections from cases 1 and 2 immunostained with anti-tau monoclonal antibody AT85. ( A ) Case 2. There is a prominent perivascular collection of neurofibrillary tangles (NFTs) and astrocytic tangles evident in the superficial cortical layers with lesser involvement of the deep laminae. Prominent neuropil neurites (NNs) are found in the subcortical U-fibers (arrow), original magnification x150. ( B ) Case 1. There is a preferential distribution of NFTs in layer II and NNs extending into the subcortical white matter even in mildly affected cortex, original magnification x150. ( C ) Case 1. Focal subpial collections of astrocytic tangles and NFTs are characteristic of chronic traumatic encephalopathy (CTE), original magnification x150. ( D ) Case 1. The shape of most NFTs and NNs in CTE is similar to those found in Alzheimer disease, original magnification x150. Some NFTs have multiple perisomatic processes ( E ) and spindle-shaped and dot-like neurites are found in addition to thread-like forms ( E , Case 1, original magnification x350. ( F ) Case 1. Astrocytic tangles are interspersed with NFTs in the cortex (arrows, original magnification x350). ( G ) Case 1. Tau-immunoreactive astrocytes are common in periventricular regions, original magnification x150. ( H, I ) Case 1. Tau-immunoreactive astrocytes take various forms; some appear to be protoplasmic astrocytes with short rounded processes ( H, I , double immunostained section with AT8 (brown) and anti-glial fibrillary acidic protein (red), ( H ) original magnification x350, ( I ) original magnification x945). ( J ) Case 2: Dot-like or spindle-shaped neurites predominate in the white matter although there are also some threadlike forms, original magnification x150.

Neuropil neurites (NNs) and astrocytic tangles were abundant in the frontal and temporal white matter ( Fig. 3 ). NNs were often dot-like and spindle-shaped in addition to threadlike forms similar to those found in AD. The hippocampus, entorhinal, and transentorhinal cortex contained dense NFTs, ghost tangles and NNs, including many ghost tangles in CA1 and subiculum; NFTs were denser in the anterior hippocampus compared to the posterior hippocampus. The amygdala showed dense tau immunoreactivity, including NFTs, astrocytic tangles and NNs ( Fig. 4 ). NFTs were most frequent in the lateral nuclear group of the amygdala.

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( A–C ) Whole mount 50-μm-thick coronal sections immunostained for tau (AT8) from case 1 ( A ), case 2 ( B ), case 3 ( C ) (counterstained with cresyl violet) showing extremely dense deposition of tau protein in the amygdala with increasing severity from left to right. ( D–F ) Microscopically, there is a moderate density of NFTs and astrocytic tangles in case 1 ( D ), the density is increased in case 2 ( E ), and extremely marked in case 3 ( F ), original magnification x350.

The nucleus basalis of Meynert, hypothalamic nuclei, septal nuclei, fornix, and lateral mammillary bodies showed dense NFTs and astrocytic tangles. NFTs and astrocytic tangles were also found in the olfactory bulb, thalamus, caudate, and putamen. The globus pallidus and subthalamic nucleus were relatively spared. The lateral substantia nigra pars compacta showed mild neuronal loss, extraneuronal pigment deposition, and moderate numbers of NFTs and NNs. The pars reticulata was unremarkable. The cerebellar peduncle showed mild perivascular hemosiderin deposition. NFTs were numerous in the dorsal and median raphe nuclei. The internal, external and extreme capsules, fornix and mammillothalamic tract showed moderate NNs, although, in general, the white matter was less affected than adjacent gray matter.

There were abundant tau–positive NFTs, glial tangles, and dot-like and spindle-shaped NNs in the superficial layers of cerebral cortex (I–III) ( Fig. 3 ). Cortical tau pathology was most prominent in patchy areas of the superior frontal and temporal lobes, especially the medial temporal lobe, often in a vasocentric pattern. The olfactory bulb, hippocampus, entorhinal cortex and amygdala showed extremely dense NFTs with many ghost tangles ( Figs. 4 – 6 ). Tau-positive glia and NNs were also found in the subcortical white matter and corpus callosum. The olfactory bulb, thalamus, hypothalamus, nucleus basalis, striatum, globus pallidus, substantia nigra, raphe, periventricular gray, locus ceruleus, oculomotor nucleus, red nucleus, pontine base, tegmentum, reticular nuclei, inferior olives, and dentate nucleus showed dense NFTs and glial tangles. Spindle-shaped NNs and tau-positive glia were pronounced in the midline white matter tracts of the brainstem.

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Tau-immunoreactive (AT8) NFTs, astrocytic tangles and neuropil neurites are found in many subcortical nuclei including the substantia nigra ( A , case 3, original magnification x350) and nucleus basalis of Meynert ( B , case 3, original magnification x350). NFTs are also abundant in the olfactory bulb ( C , case 2, Bielschowsky silver method, original magnification x150) and thalamus (case 1, original magnification x350, AT8 immunostain counterstained with cresyl violet).

Microscopic examination showed dense accumulations of tau-immunoreactive NFTs, astrocytic tangles, and NNs in irregular patches of the dorsolateral frontal, insular, subcallosal, inferior frontal, superior parietal and posterior temporo-occipital cortices, and most severely in the medial temporal lobe. The hippocampus, entorhinal cortex and amygdala contained extremely dense NFTs with ghost tangles and severe neuronal loss ( Figs. 4 , ​ ,6). 6 ). Tau-positive glia and NNs were also found in the subcortical white matter, particularly in the subcortical U-fibers. The olfactory bulb, thalamus, hypothalamus, nucleus basalis, striatum, globus pallidus, substantia nigra, raphe, periventricular gray, locus ceruleus, oculomotor nucleus, red nucleus, pontine base, pontine tegmentum, hypoglossal nuclei, reticular nuclei, inferior olives, midline tracts of the medulla, and dentate nucleus contained dense NFTs and astrocytic tangles ( Figs. 5 , ​ ,7). 7 ). Subcortical white matter tracts including the anterior and posterior commissure, thalamic fasciculus, external and extreme capsule also showed astrocytic tangles and NNs.

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Whole mount 50-μm coronal sections of case 2 ( A ) and case 3 ( B ), immunostained for tau (AT8) and counter-stained with cresyl violet. There is extremely dense deposition of tau protein in the hippocampus and medial temporal lobe structures. There is also prominent tau deposition in the medial thalamus.

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Whole mount tau (AT8)-immunostained 50-μm coronal sections of the brainstem from case 3 showing severe involvement of the locus ceruleus, pontine tegmentum, pontine base, midline medulla, and hypoglossal nuclei.

The abnormal tau proteins that are found in the glial and neuronal tangles in CTE are indistinguishable from NFTs in AD and are composed of all 6 brain tau isoforms ( 39 ). Neuropathologically, CTE resembles several other neurodegenerative diseases characterized by accumulations of hyperphosphorylated tau protein in neurons or glial cells, including ALS/PDC of Guam, post-encephalitic parkinsonism, progressive supranuclear palsy (PSP), corticobasal degeneration, and frontotemporal dementia with parkinsonism linked to chromosome 17 (FTDP-17) ( 36 , 48 – 50 ). Like ALS/PDC of Guam, neurofibrillary tau pathology in CTE is found in the medial temporal lobe structures, cerebral cortex and spinal cord with only a subset of cases showing evidence of diffuse plaques ( 51 ). Like ALS/PDC and PSP, CTE preferentially involves the superficial cortical layers and involves the accumulation of tau-immunoreactive astrocytes ( 36 ). However, CTE differs from ALS/PDC of Guam and PSP in that the cortical involvement is irregular and patchy, greatest at sulcal depths, and distributed in a prominent perivascular, periventricular and subpial pattern. Furthermore, there is a unique regional involvement of subcortical and brainstem structures in CTE ( Tables 5 , ​ ,6 6 ).

β-Amyloid Deposition

β-Amyloid (Aβ) deposition is an inconstant feature in CTE. Fourteen of the 15 brains originally described by Corsellis ( 29 ) and 6 additional boxers were re-examined by Roberts and colleagues using Aβ immunocytochemistry with formic acid pretreatment; 19 of the 20 cases showed widespread diffuse Aβ deposits ( 18 ). The only case that did not contain diffuse Aβ was that of a 22-year-old boxer who died during a fight. Similarly, Tokuda and colleagues who found abundant diffuse Aβ deposits in 8 cases of CTE and cerebrovascular Aβ deposits in 3 cases ( 52 ). In our series, only Case 2 showed moderate numbers of diffuse Aβ plaques in the frontal, parietal and temporal cortex, and sparse neuritic plaques; there was no vascular amyloid. Of the 51 neuropathologically verified cases of CTE, diffuse plaques were found in 22 (44%), neuritic plaques in 13 (27%), and amyloid angiopathy in 3 (6%). There was also one report of a fatal cerebral hemorrhage from amyloid angiopathy associated with CTE ( 15 ).

White Matter Changes and Other Abnormalities

Tau-positive fibrillar astrocytic tangles are found in the white matter, but the major abnormality is that of dot-like or spindle-shaped tau-positive neurites. The shape of the tau-immunoreactive neurites is distinct from the predominantly threadlike forms found in AD and suggests an axonal origin. Tokuda and colleagues characterized the neuropil neurites in CTE as shorter and less prominent than the neuropil threads found in AD and not spatially related to senile plaques ( 52 ). Generally, tau abnormalities in the white matter are not as severe as in adjacent gray matter. Other abnormalities found frequently in the cerebral and cerebellar white matter include small arterioles with thickened fibrohyalinized walls with perivascular hemosiderin-laden macrophages, widened perivascular spaces, and white matter rarefaction. In our cases 1 3, mild to moderate myelin and axonal loss was found in the corpus callosum and subcortical white matter of the frontal and temporal lobes and cerebellum with mild perivascular hemosiderin deposition.

α-Synuclein Staining

Extensive accumulation of α-synuclein has been found in axons following acute traumatic brain injury (TBI) ( 53 ) but α-synuclein immunostaining was not a feature of any of the 51 cases of CTE, including our 3 cases.

Clinicopathological Considerations

The distribution of the tau abnormalities in CTE suggests distinctive core pathology within the amygdalo-hippocampal-septo-hypothalamic-mesencephalic continuum, i.e. the Papez circuit ( 54 , 55 ). The early involvement of these anatomical regions, sometimes referred to as “emotional” or “visceral” brain, may underlie many of the early behavioral symptoms, including the tendency toward emotional lability, aggression and violent outbursts. The early involvement of the hippocampus, entorhinal cortex and medial thalamus may explain episodic memory disturbance as a frequent presenting symptom ( 56 ). Neurofibrillary degeneration of the frontal cortex and underlying white matter most likely contributes to the dysexecutive symptoms. Although less common and generally less severe, neurofibrillary degeneration in the dorsolateral parietal, posterior temporal, and occipital cortices likely accounts for the visuospatial difficulties. The parkinsonian features found in 42% of cases are likely due to degeneration of the substantia nigra pars compacta. The gait disorder, variously described as staggered, slowed, shuffled, or frankly ataxic, may result from a combination of cortical and subcortical frontal damage, degeneration of cerebellar tracts in the brainstem, direct cerebellar injury, as well as Parkinsonism from substantia nigra pathology. Similarly, speech abnormalities, most often described as slowed and slurred, likely reflect multiregional degeneration. Symptoms of dysarthria, dysphagia, and ocular abnormalities probably result from degeneration of brainstem nuclei, e.g. the hypoglossal and oculomotor nuclei.

Possible Mechanisms of Cerebral Injury

Acceleration and deceleration forces are thought to be important events in concussion, particularly rotational acceleration and deceleration ( 57 – 59 ). Sagittal (front-to-back) injuries result in relatively good recovery whereas lateral (side-to-side) injuries produce the most injury, with injury directed related to the severity of the generating force ( 58 ). Conceivably, a concussive impact imparts a fluid wave in the lateral ventricles that produces a shearing force on the septum pellucidum; this may explain the development of an enlarged cavum septum pellucidum and, if severe or repeated, fenestrations.

The patchy, irregular location of the cortical NFTs and astrocytic tangles suggests that the distribution is related to direct mechanical injury from blows to the side or top of the head, given their multifocal dorsolateral frontal and parietal, inferior frontal and occipital, and lateral temporal distribution. The possibility that ischemia may contribute to the development of the tau pathology is suggested by the concentration of tau-immunoreactive pathology at the depths of sulci. Damage to the blood-brain barrier and release of local neurotoxins might explain some of the tendency toward perivascular nests of tau-immunoreactive NFT, tau-positive glia, and NNs ( 13 ). Buee and Hof studied the microvasculature of several cases with dementia pugilistica and found decreased microvascular density and tortuosity with a strong correlation between the laminar distribution of NFTs and pathological microvasculature. Hof and colleagues suggested that the shear forces of repetitive head trauma might lead to vascular damage followed by perivascular NFT and NN formation ( 60 ). Further supporting a possible vascular connection to the pathological changes in CTE, Bouras reported laser microprobe mass analysis of NFTs and nuclei of NFT-free neurons in CTE contained substantially higher amounts of iron and aluminum than NFTs in AD ( 61 ).

Acute Traumatic Brain Injury

Axonal injury.

Acute concussion produces diffuse axonal injury ( 62 ). The “diffuse degeneration of the cerebral white matter” was first described by Strich as the shearing or mechanical tearing of axons at the time of injury ( 63 ). It is now appreciated that axons are not sheared at the time of injury except in the most severe instances of diffuse axonal injury, but instead undergo a series of changes that may result in a secondary axotomy within 24 hours ( 64 ). The axolemma is one of the initial sites of injury; the increased permeability, uncontrolled influx of Ca++, swelling of mitochondria, disruption of microtubules, and alterations in axonal transport that follow produce axonal swelling and secondary axotomy ( 64 – 66 ). Rapid axonal swelling, perisomatic axotomy and Wallerian degeneration may also occur without changes in axolemmal permeability, suggesting that trauma may have diverse effects on axons. McKenzie showed that 80% of patients who died from acute head injury showed immunocytochemical evidence of axonal injury within 2 hours of injury; after 3 hours of injury, axonal bulbs were identified, and as the survival time increased, the amount of axonal damage and axonal bulb formation increased. Axonal injury was found most frequently in the brainstem, followed by the internal capsule, thalamus, corpus callosum and parasagittal white matter ( 67 ). Axonal damage may continue for weeks after the acute TBI ( 68 ).

Deposition of Abnormal Proteins

In individuals undergoing surgical brain tissue resection for acute TBI, tau-immunoreactive dystrophic axons were found in the white matter and diffuse tau immunoreactivity was found in some neuronal cell bodies, dendrites, and glial cells within 2–3 hours post injury ( 67 ). Studies of acute TBI in experimental animal models and postmortem human brain also demonstrate that Aβ deposition, amyloid precursor protein (APP) processing, production and accumulation are increased after injury ( 69 – 78 ). Increased APP production in experimental TBI has also been associated with heightened neuronal loss in the hippocampus ( 73 , 79 ). In acute TBI, diffuse cortical Aβ plaques have been found in 30% to 38% of cases as early as 2 hours after injury ( 73 , 76 , 80 ). In addition, individuals with cortical Aβ plaques showed increased levels of soluble Aβ42 and half were Apolipoprotein E (ApoE) ε4 allele carriers ( 81 ). In acute TBI, Aβ deposition is widely distributed throughout the neocortex without apparent association with the injury sites ( 82 ). The predominant form of Aβ in acute TBI is Aβ 42 whereas the Aβ 40 form predominates in serum and CSF, a situation similar to that in AD ( 83 ). A recent report also showed that interstitial soluble Aβ concentrations in the brain appear to correlate directly with neurological outcome following TBI ( 84 ).

Neuronal Death in Acute TBI and Relationship to CTE

There are multiple reasons for neuronal loss in acute traumatic injury including neuronal death from direct physical damage, necrosis from the immediate release of excitatory transmitters such as glutamate, and diffuse, delayed cell death involving both necrotic and apoptotic death cascades ( 85 , 86 ). Other contributing factors include focal ischemia, breakdown of the blood-brain barrier, inflammation and the release of cytokines. Experimental lateral percussive injury in the rat produces apoptotic and necrotic neuronal death that progresses for up to one year after injury with degeneration of the cortex, hippocampi, thalami and septum, ventriculomegaly, and impaired memory performance ( 62 , 85 , 87 – 89 ). The thalamic degeneration typically follows the cortical degeneration by weeks, suggesting that a secondary process such as deafferentation may play a role in the thalamic neuronal death. Neuronal loss in the hippocampus and thalamus has also been reported following blunt head injury in humans using stereological techniques ( 90 , 91 ). One of the key features of CTE is that the disease continues to progress decades after the activity that produced traumatic injury has stopped. It is most likely that multiple pathological cascades continue to exert their effects throughout the individual’s lifetime once they are triggered by repetitive trauma; the longer the survival after the initial events and the more severe the original injuries, the greater the severity of the neurodegeneration. It is clear that neuronal loss, cerebral atrophy, and ventricular enlargement all increase with longer survival and greater exposure to repetitive trauma.

Diagnosis of CTE

Presently there are no available biomarkers for the diagnosis of CTE. Although significant decreases in CSF ApoE and Aβ concentrations have been reported that correlated with severity of the injury after TBI, there have been no similar studies in CTE ( 92 ). Nonetheless, advances in neuroimaging offer the promise of detecting subtle changes in axonal integrity in acute TBI and CTE. Standard T1- or T2-weighted structural MR imagining is helpful for quantitating pathology in acute TBI, but diffusion tensor MRI (DTI) is a more sensitive method to assess axonal integrity in vivo ( 93 , 94 ). In chronic moderate to severe TBI, abnormalities on DTI have been reported in the absence of observable lesions on standard structural MRI ( 83 ). More severe white matter abnormalities on DTI have been associated with greater cognitive deficits by neuropsychological testing ( 94 , 95 ) and increases in whole-brain apparent diffusion coefficient and decreases in fractional anisotropy using DTI have been found in boxers compared to controls ( 96 , 97 ).

Genetic Risk and the Role of ApoE4

ApoE genotyping has been reported in 10 cases of CTE, including our most recent cases. Five of the 10 cases of CTE carried at least one ApoE ε4 allele (50%), and 1 was homozygous for ApoE ε4 (our case 1). The percentage of ApoE ε4 carriers in the general population is 15%; this suggests that the inheritance of an ApoE ε4 allele might be a risk factor for the development of CTE.

In acute TBI there is accumulating evidence that the deleterious effects of head trauma are more severe in ApoE ε4-positive individuals ( 98 – 100 ). Acute TBI induces Aβ deposition in 30% of people ( 75 , 76 ) and a significant proportion of these individuals are heterozygous for ApoE ε4 ( 101 , 102 ). ApoE4 transgenic mice suffer greater mortality from TBI than ApoE ε3 mice ( 102 ). Furthermore, transgenic mice that express ApoE ε4 and overexpress APP show greater Aβ deposition after experimental TBI ( 103 ).

Guidelines for Prevention and Treatment

Clearly, the easiest way to decrease the incidence of CTE is to decrease the number of concussions or mild traumatic brain injuries. In athletes this is accomplished by limiting exposure to trauma, for example, by penalizing intentional hits to the head (as is happening in football and hockey) and adhering to strict “return to play” guidelines. Proper care and management of mild traumatic brain injury in general and particularly in sports will also reduce CTE. No reliable or specific measures of neurological dysfunction after concussion currently exist, and most recommendations are centered on the resolution of acute symptoms such as headache, confusion, sensitivity to light, etc. ( 104 ). Asymptomatic individuals have been shown, however, to have persistent decreases in P300 amplitudes in response to an auditory stimulus at least 5 weeks after a concussion, thereby casting doubt on the validity of the absence of symptoms as a guidepost ( 105 , 106 ). Neuropsychological tests have also helped provide estimates of the appropriate time for athletes to return to practice and play. Studies using event-related potentials, transcranial magnetic stimulation, balance testing, multitask effects on gait stability, PET, and DTI MRI have all shown abnormalities in concussed athletes or nonathletes with TBI lasting for 2 to 4 weeks ( 105 , 107 – 109 ). These studies indicate that safe return to play guidelines might require at least 4 to 6 weeks to facilitate more complete recovery and to protect from reinjury, as a second concussion occurs much more frequently in the immediate period after a concussion ( 106 , 110 ). In addition, experimental evidence in animals suggests that there is expansion of brain injury and inhibition of functional recovery if the animal is subjected to overactivity within the first week ( 111 ).

CTE is a progressive neurodegeneration clinically associated with memory disturbances, behavioral and personality change, Parkinsonism, and speech and gait abnormalities. Pathologically, CTE is characterized by cerebral and medial temporal lobe atrophy, ventriculomegaly, enlarged cavum septum pellucidum, and extensive tau-immunoreactive pathology throughout the neocortex, medial temporal lobe, diencephalon, brainstem, and spinal cord. There is overwhelming evidence that the condition is the result of repeated sublethal brain trauma that often occurs well before the development of clinical manifestations. Repetitive closed head injury occurs in a wide variety of contact sports as well as a result of accidents or in the setting of military service. Pathologically, CTE shares some features of AD, notably tau-immunoreactive NFTs, NNs and, in approximately 40% of cases, diffuse senile plaques. Furthermore, the Aβ and NFTs found in CTE are immunocytochemically identical to those found in AD, suggesting a possible common pathogenesis. Multiple epidemiological studies have shown that head injury is a risk factor for AD and there have been several case reports citing an association between a single head injury and the development of subsequent AD ( 112 , 113 ). Just as acquired vascular injury may interact additively or synergistically with AD, traumatic injury may interact additively with AD to produce a mixed pathology with greater clinical impact or synergistically by promoting pathological cascades that result in either AD or CTE. In athletes, by instituting and following proper guidelines for return to play after a concussion or mild traumatic brain injury, it is possible that the frequency of sports-related CTE could be dramatically reduced or perhaps, entirely prevented.

Gross Pathological Features: Other

Case NumberII Ventricle EnlargedIII Ventricle EnlargedIV Ventricle EnlargedCavum SeptumFenestrationsSN PallorLC Pallor
1++
2++
3
4+++
5++
6+
7+
8++++
9+++
10+++
11+++
12++
13+++
14++
15++++++++++
16+++++++++++++++
17++++++++++
18+++++++++
19++++++++++
20++++++++++
21+++++++
22++++++++
23++++++++
24++++++++++
25++++++
26++
27+++++++
28++++++
29++
30++++
31+++
32++
33
34+++++++
35+
36000
37000
38000
39
40000
41+++++
42+
43+
44
45+
46
47
48++++
49 +00
50 ++++++++++
51 +++++++++++++

Acknowledgments

Supported by the Boston University Alzheimer’s Disease Center NIA P30 AG13846, supplement 0572063345-5 and the Department of Veterans’ Affairs.

The authors wish to thank Rafael Romero, MD, for his review of the clinical features of case 3.

Appendix. Methods for Analysis of Cases 1–3

The following anatomic regions were evaluated microscopically in paraffin sections in Cases 1 to 3: olfactory bulb, midbrain at level of red nucleus, right motor cortex, right inferior parietal cortex (Brodmann Area [BA] 39, 40), right anterior cingulate (BA 24), right superior frontal (BA 8, 9), left Inferior frontal cortex (BA 10, 11, 12), left lateral frontal (BA 45, 46), caudate, putamen, and accumbens (CAP), anterior temporal (BA 38), superior temporal (BA 20, 21, 22), middle temporal cortex, inferior temporal cortex, amygdala, entorhinal cortex (BA 28), globus pallidus, insula, substantia innominata, right hippocampal formation at the level of the lateral geniculate, hippocampus, thalamus with mamillary body, thalamus, posterior cingulate (BA 23, 31), calcarine cortex (BA 17,18), superior parietal cortex (BA 7B), cerebellar vermis, cerebellum with dentate nucleus, parastriate cortex (BA 19) pons, medulla and spinal cord.

The sections were stained with Luxol fast blue and hematoxylin and eosin, Bielschowsky silver impregnation and by immunohistochemistry with antibodies to phosphoserine 202 and phosphothreonine 205 of PHF-tau (mouse monoclonal AT8, Pierce Endogen, Rockford IL, 1:2,000), α-synuclein (rabbit polyclonal, Chemicon, Temecula, CA, 1:15,000), β-amyloid (mouse monoclonal, Dako North America Inc, Carpinteria, CA, 1:2,000) (following formic acid pretreatment), and Aβ 42 (rabbit polyclonal, Invitrogen (Biosource), Carpinteria, CA, 1:2,000). In addition, multiple large coronal fragments were cut at 50 μm on a sledge microtome and stained as free-floating sections using a mouse monoclonal antibody directed against phosphoserine 202 of tau (CP-13, courtesy of Peter Davies, 1:200); this is considered to be the initial site of tau phosphorylation in NFT formation ( 114 – 118 ). Other monoclonal antibodies used for immunostaining were AT8, phosphoserine 396 and phosphoserine 404 of hyperphosphorylated tau(PHF-1, courtesy of Peter Davies, 1:1000) ( 114 – 118 ), glial fibrillary acidic protein (GFAP) (Chemicon, 1:2,000), and HLA-DR-Class II major histocompatibility complex (LN3, Zymed, San Francisco, CA, 1:2,000); some of these sections were counterstained with cresyl violet.

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Vaccines protect against many infectious diseases, including some that can directly or indirectly cause nervous system damage. Serious neurological consequences of immunization are typically extremely rare, although they have the potential to jeopardize vaccination programmes, as demonstrated most recently during the COVID-19 pandemic. Neurologists have an important role in identifying safety signals at population and individual patient levels, as well as providing advice on the benefit–risk profile of vaccination in cohorts of patients with diverse neurological conditions. This article reviews the links between vaccination and neurological disease and considers how emerging signals can be evaluated and their mechanistic basis identified. We review examples of neurotropic infections with live attenuated vaccines, as well as neuroimmunological and neurovascular sequelae of other types of vaccines. We emphasize that such risks are typically dwarfed by neurological complications associated with natural infection and discuss how the risks can be further mitigated. The COVID-19 pandemic has highlighted the need to rapidly identify and minimize neurological risks of vaccination, and we review the structures that need to be developed to protect public health against these risks in the future.

Vaccines have a key public health role in protecting populations against infectious diseases, including neurological diseases caused by infections.

Serious neurological complications of vaccination are extremely rare, but when they do occur they have the potential to jeopardize vaccination programmes.

Live attenuated vaccines, such as the yellow fever and poliomyelitis vaccines, carry a very small risk of neurotropic infections; vaccine-specific and recipient-specific factors can predispose to these complications.

Very rare neurological complications of vaccination include neuroimmunological conditions such as Guillain–Barré syndrome, acute disseminated encephalomyelitis and narcolepsy, and neurovascular conditions such as cerebral venous sinus thrombosis and stroke.

Apart from live vaccines in immunosuppressed individuals and the yellow fever vaccine in people with myasthenia gravis, vaccination is typically safe in individuals with neurological disease, with strongly positive benefit–risk profiles.

Recent advances in data linkage have allowed monitoring of the neurological safety profile of vaccines as they are rolled out, almost in real time, and have enabled these risks to be weighed against the risks of infection in unvaccinated individuals.

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Acknowledgements

D.P.J.H. is supported by a Wellcome Trust Senior Research Fellowship (215621/Z/19/Z) and the Medical Research Foundation, and his research is supported by the UK Dementia Research Institute (Medical Research Council). L.H. is supported by the National Institute for Health and Care Research (NIHR) Oxford Health Biomedical Research Centre, UK. L.T. is supported by the NIHR Health Protection Research Unit (HPRU) in Emerging and Zoonotic Infections (NIHR200907) at the University of Liverpool, UK in partnership with the UK Health Security Agency (UK HSA), in collaboration with Liverpool School of Tropical Medicine and the University of Oxford. L.T. is based at the University of Liverpool. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, the Department of Health or the UK HSA.

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Lahiru Handunnetthi

Oxford Vaccine Group, University of Oxford, Oxford, UK

Maheshi N. Ramasamy

Department of Clinical Infection, Microbiology and Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK

Lance Turtle

UK Dementia Research Institute, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK

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L.T. has received consulting fees from the UK Medicines and Healthcare products Regulatory Agency (MHRA); consulting fees from AstraZeneca and Synairgen, paid to the University of Liverpool, UK; speakers’ fees from Eisai; and support for conference attendance from AstraZeneca. L.T. was a member of the MHRA yellow fever vaccine safety expert working group. D.P.J.H. is a Commissioner for the UK Government Commission for Human Medicines. L.H. and M.N.R. declare no competing interests.

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Adverse Events Following Immunization (AEFI): https://www.who.int/publications/m/item/reporting-form-aefi

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Modelling method that incorporates prior data to infer the probability of a given hypothesis.

Fertilized chicken eggs that have been allowed to develop into embryos over 5–12 days and are used for viral cell culture.

A manufacturing technique in which batches of vaccine are made using a standardized master cell and/or virus stock.

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journal of neuropathology & experimental neurology

ORIGINAL RESEARCH article

Correlation of silent brain infarcts and leukoaraiosis in middle-aged ischemic stroke patients: a retrospective study.

Mohammad F. Abdulsalam

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Background: Cerebrovascular diseases of the brain are usually defined by transient ‎ischemic attacks and strokes. However, they can also cause brain injuries without ‎neurological events. Silent brain infarcts (SBI) and leukoaraiosis are symptoms of both ‎vascular and neurological abnormalities. This study aims to investigate the association ‎between SBI, leukoaraiosis, and middle-aged patients with ischemic stroke. ‎ Methods: A single-centre retrospective study of 50 middle-aged, ischemic stroke ‎patients were studied from November 2022 and May 2023. The patients were divided ‎into two groups based on the presence or absence of leukoaraiosis. History taking, ‎physical examination, brain CT scan, and MRI were all part of the diagnostic process. ‎Metabolic syndrome (MetS ) was also assessed through various factors. The statistical ‎analysis included descriptive statistics, logistic regression analysis, and chi-square test. ‎ Results: Out of the cohort comprising 50 patients, characterized by a mean age of ‎‎52.26 years (SD 5.29), 32 were male, constituting 64% of the sample. Among these ‎patients, 26 individuals exhibited leukoaraiosis, with 17 of them (65.4%) also presenting ‎with SBI. Moreover, within this cohort, 22 patients were diagnosed with MetS, ‎representing 84.6% of those affected. The Multivariate logistic regression analysis ‎showed a strong and independent association between Leukoaraiosis and SBI. ‎Individuals with Leukoaraiosis were nearly five times more likely to have SBI compared ‎to those without Leukoaraiosis. ‎ Conclusions: The study highlights leukoaraiosis as a significant risk factor for SBI, ‎alongside MetS. Advanced imaging techniques have facilitated their detection, revealing ‎a higher prevalence among stroke patients, particularly associated with age and ‎hypertension. Further research is needed to fully understand their complex relationship ‎and develop better management strategies for cerebrovascular diseases, ultimately ‎improving patient outcomes.‎

Keywords: cerebrovascular disease, ischemic stroke, Leukoaraiosis, Silent brain infarcts, silent lacunar infarcts, metabolic syndrome

Received: 09 May 2024; Accepted: 08 Aug 2024.

Copyright: © 2024 Abdulsalam, Shaheen, Shaheen, Alabdallat, Ramadan, Meshref, Mansour, Abed, Fayed, Zaki, El-Adawy, Flouty and Hamed. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Nour Shaheen, Alexandria University, Alexandria, Egypt

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

American Association of Neuropathologists

Article Contents

Conflicts of interest, skin nerve phosphorylated α-synuclein in the elderly. authors’ response.

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Vincenzo Donadio, Rocco Liguori, Skin nerve phosphorylated α-synuclein in the elderly. Authors’ response, Journal of Neuropathology & Experimental Neurology , 2024;, nlae089, https://doi.org/10.1093/jnen/nlae089

To the Editor:

We carefully read the letter of Dr Kawada 1 related to our paper reporting the prevalence of phosphorylated α-synuclein (p-α-syn) in skin nerves in very old healthy subjects, old subjects with small fiber neuropathy and 490 healthy cases from the scientific literature for a total of 531 subjects. 2 In our paper, we disclosed that only 4 healthy subjects were reported to be positive for p-α-syn (1%). As underlined by Dr Kawada, a similar rate of p-α-syn positivity was recently reported (3.3%) in a study analyzing a large cohort of healthy subjects ( n  = 120). 3 A very low positivity rate found in controls confirms that the search of the skin p-α-syn could be a highly specific tool to identify patients with an underlying synucleinopathy in vivo.

Dr Kawada also reported the possibility of finding accumulations of p-α-syn in peripheral macrophages of the skin as an alternative biomarker for PD, 4 although this finding has not been confirmed in other studies. However, Dr Kawada’s main criticism is related to the fact that skin biopsy is a time-consuming, expensive and invasive technique. Accordingly, he suggested to look for p-α-syn accumulations with alternative techniques that, however, are not mentioned or suggested in the letter.

We agree with the Dr Kawada that a less invasive technique for detecting p-α-syn would be preferable to skin biopsy but at the moment we are not aware that the evaluation offered by a skin biopsy can be obtained with another technique. Indeed, we must emphasize that the skin biopsy presents few and negligible side effects. 3 , 5–7 In fact, a direct comparison of skin biopsy with the other sample that can be used to evaluate misfolded α-syn, namely the CSF, underlined how skin biopsy presents lower and less important side effects than lumbar puncture. 8

In addition, skin biopsy is not an expensive technique because the cost of primary and secondary antibodies to obtain p-α-syn staining is in the range of a few tens of euros in a single patient with the technique that we have described. 5 , 7 In addition, the main instrumentation that must be used (cryostat and fluorescence microscope) is usually part of a neuropathology laboratory.

Furthermore, it is not a time-consuming method considering that staining the p-α-syn is achieved in 2 days, although we agree that it is a complex technique that requires adequate and prolonged training. However, skin biopsy presents the advantage of improving the in vivo diagnostic accuracy of synucleinopathies as demonstrated in all variants of synucleinopathies, including multiple system atrophy. 3 , 8–10

No funding was received.

The authors have no conflict of interest to declare.

Kawada T.   Letter to the Editor: skin biopsy detection of phosphorylated α-synuclein to identify patients with synucleinopathies . J Neuropathol Exp Neurol . 2024 ; 83 .

Google Scholar

Donadio V , Fadda L , Incensi A , et al.    Skin nerve phosphorylated α-synuclein in the elderly . J Neuropathol Exp Neurol . 2024 ; 83 : 245 - 250 .

Gibbons CH , Levine T , Adler C , et al.    Skin biopsy detection of phosphorylated α-synuclein in patients with synucleinopathies . JAMA . 2024 ; 331 : 1298 - 1306 .

Oizumi H , Yamasaki K , Suzuki H , et al.    Phosphorylated alpha-synuclein in Iba1-positive macrophages in the skin of patients with Parkinson’s disease . Ann Clin Transl Neurol . 2022 ; 9 : 1136 - 1146 .

Donadio V , Incensi A , Cortelli P , et al.    Skin sympathetic fiber α-synuclein deposits: a potential biomarker for pure autonomic failure . Neurology . 2013 ; 80 : 725 - 732 .

Melli G , Vacchi E , Biemmi V , et al.    Cervical skin denervation associates with alpha-synuclein aggregates in Parkinson disease . Ann Clin Transl Neurol . 2018 ; 5 : 1394 - 1407 .

Donadio V , Wang Z , Incensi A , et al.    In vivo diagnosis of synucleinopathies: a comparative study of skin biopsy and RT-QuIC . Neurology . 2021 ; 96 : e2513 - e2524 .

Donadio V , Incensi A , Del Sorbo F , et al.    Skin nerve phosphorylated α-synuclein deposits in Parkinson’s disease with orthostatic hypotension . J Neuropathol Exp Neurol . 2018 ; 77 : 942 - 949 .

Liguori R , Donadio V , Wang Z , et al.    A comparative blind study between skin biopsy and seed amplification assay to disclose pathological α-synuclein in RBD . NPJ Parkinsons Dis . 2023 ; 9 : 34 .

Donadio V , Incensi A , Rizzo G , et al.    Phosphorylated α-synuclein in skin Schwann cells: a new biomarker for multiple system atrophy . Brain . 2023 ; 146 : 1065 - 1074 .

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