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Corrigan JD, Alosco ML, van der Naalt J, Adams RS, Asken BM, Hinds S, Lequerica AH, Newcombe V, Tenovuo O, Valera E, Yurgelun-Todd D, Doperalski A, Awwad HO, Dams-O'Connor K, Mass AIR, McCrea MA, Umoh N, Manley GT. Retrospective Identification and Characterization of Traumatic Brain Injury-Recommendations from the 2024 National Institute of Neurological Disorders and Stroke Traumatic Brain Injury Classification and Nomenclature Initiative Retrospective Classification Working Group. J Neurotrauma 2025. [PMID: 40393476 DOI: 10.1089/neu.2024.0590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2025] Open
Abstract
The National Institute of Neurological Disorders and Stroke (NINDS) convened experts in traumatic brain injury (TBI) research, policy, clinical practice and people with lived experience to propose a system of injury classification less susceptible to misinterpretation and misrepresentation inherent in the current use of "mild", "moderate" and "severe". One of six working groups addressed Retrospective Classification of TBI. The Working Group consisted of 14 experts in brain injury research representing a breadth of professional disciplines. Initial conclusions based on expert opinion were vetted and revised based on public input at the January 2024 NINDS TBI Classification and Nomenclature Workshop. The Working Group examined five types of methodologies for identifying past TBIs (self/proxy-report, medical record extraction, imaging, fluid-based biomarkers, and performance-based tests). They concluded that self/proxy-report is essential for clinical, research and surveillance applications and that clinicians and researchers should employ elicitation protocols that have been studied and found valid. Medical record extraction was also identified as an invaluable tool for identification of past history of medically attended TBIs; however, there is a need to standardize the case definition employed and procedures used. The use of imaging methods, fluid-based biomarkers, and performance-based assessments in isolation lacked sufficient evidence of both sensitivity and specificity in detecting past histories of TBI to be recommended for this use at this time. The Working Group also evaluated identification of repetitive head impacts (RHI), finding no evidence of a common definition of RHI, a requisite initial step for the development and validation of standardized instruments.
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Affiliation(s)
- John D Corrigan
- Department of Physical Medicine and Rehabilitation, The Ohio State University, Columbus, Ohio, USA
| | - Michael L Alosco
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Joukje van der Naalt
- University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Rachel Sayko Adams
- Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Breton M Asken
- Department of Clinical and Health Psychology, Florida Alzheimer's Disease Research Center, University of Florida, Gainesville, Florida, USA
| | - Sidney Hinds
- Department of Radiology/Neurology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | | | - Virginia Newcombe
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | | | - Eve Valera
- Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Deborah Yurgelun-Todd
- MIRECC George E. Wahlen Department of Veterans Affairs Medical Center, University of Utah, Salt Lake City, Utah, USA
| | - Adele Doperalski
- Division of Neuroscience, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA
| | - Hibah O Awwad
- Division of Neuroscience, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA
| | - Kristen Dams-O'Connor
- Department of Rehabilitation and Human Performance and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, New York, USA
| | - Andrew I R Mass
- Department of Neurosurgery, Antwerp University Hospital, Edegem, Belgium
- Faculty of Medicine and Health Science, Department of Translational Neuroscience, University of Antwerp, Antwerp, Belgium
| | - Michael A McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Nsini Umoh
- Division of Neuroscience, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA
| | - Geoffrey T Manley
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
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2
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Han X, Zhang Y, Petrosky JN, Bald S, Sherva RM, Labadorf A, Cherry JD, Chung J, Farrell K, Abdolmohammadi B, Durape S, Martin BM, Palmisano JN, Farrell JJ, Alvarez VE, Huber BR, Dwyer B, Daneshvar DH, Dams-O'Connor K, Jun GR, Lunetta KL, Goldstein LE, Katz DI, Cantu RC, Shenton ME, Cummings JL, Reiman EM, Stern RA, Alosco ML, Tripodis Y, Farrer LA, Stein TD, Crary JF, McKee AC, Mez J. A structural haplotype in the 17q21.31 MAPT region is associated with increased risk for chronic traumatic encephalopathy endophenotypes. Cell Rep Med 2025; 6:102084. [PMID: 40239644 DOI: 10.1016/j.xcrm.2025.102084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Revised: 01/02/2025] [Accepted: 03/20/2025] [Indexed: 04/18/2025]
Abstract
Chronic traumatic encephalopathy (CTE) is a neurodegenerative tauopathy associated with repetitive head impact (RHI) exposure. Genetic variation in the 17q21.31 region, containing microtubule-associated protein tau (MAPT), has been implicated in tauopathies but has not been investigated in CTE. The region includes a megabase-long inversion (H1/H2) and copy-number variations, including α, β, and γ segments, which can be characterized as nine segregating structural haplotypes. We leveraged array SNP data and a reference panel across the 17q21.31 region to impute structural haplotypes and test their association with CTE endophenotypes in 447 European ancestry brain donors with RHI exposure. The H1β1γ1 haplotype was significantly associated with dementia and semi-quantitative tau burden in multiple cortical and medial temporal regions commonly affected in CTE. H1β1γ1 differential expression analyses in dorsolateral frontal cortex implicated cis-acting genes and inflammatory pathways. Taken together, the H1β1γ1 haplotype may help explain CTE heterogeneity among those with similar RHI exposure.
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Affiliation(s)
- Xudong Han
- Bioinformatics Graduate Program, Boston University, Boston, MA, USA; Section of Biomedical Genetics, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Yichi Zhang
- Bioinformatics Graduate Program, Boston University, Boston, MA, USA
| | | | - Sarah Bald
- Bioinformatics Graduate Program, Boston University, Boston, MA, USA
| | - Richard M Sherva
- Section of Biomedical Genetics, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Adam Labadorf
- Bioinformatics Graduate Program, Boston University, Boston, MA, USA; Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston VA Healthcare System, Boston, MA, USA
| | - Jonathan D Cherry
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston VA Healthcare System, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Jaeyoon Chung
- Section of Biomedical Genetics, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Kurt Farrell
- Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Neuropathology Brain Bank & Research CoRE, Friedman Brain Institute, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bobak Abdolmohammadi
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Shruti Durape
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA
| | - Brett M Martin
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Joseph N Palmisano
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - John J Farrell
- Section of Biomedical Genetics, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Victor E Alvarez
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston VA Healthcare System, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Bedford VA Healthcare System, Bedford, MA, USA
| | - Bertrand R Huber
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston VA Healthcare System, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Bedford VA Healthcare System, Bedford, MA, USA
| | - Brigid Dwyer
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Braintree Rehabilitation Hospital, Braintree, MA, USA
| | - Daniel H Daneshvar
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
| | - Kristen Dams-O'Connor
- Department of Rehabilitation and Human Performance, Brain Injury Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gyungah R Jun
- Section of Biomedical Genetics, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA; Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Lee E Goldstein
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Departments of Biomedical, Electrical & Computer Engineering, Boston University College of Engineering, Boston, MA, USA; Departments of Radiology and Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Douglas I Katz
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Braintree Rehabilitation Hospital, Braintree, MA, USA
| | - Robert C Cantu
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Department of Neurosurgery, Emerson Hospital, Concord, MA, USA
| | - Martha E Shenton
- Boston VA Healthcare System, Boston, MA, USA; Psychiatry Neuroimaging Laboratory, Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Jeffrey L Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA
| | - Eric M Reiman
- Banner Alzheimer's Institute, University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Robert A Stern
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Michael L Alosco
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA
| | - Yorghos Tripodis
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Lindsay A Farrer
- Section of Biomedical Genetics, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA; Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Thor D Stein
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston VA Healthcare System, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Bedford VA Healthcare System, Bedford, MA, USA
| | - John F Crary
- Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Neuropathology Brain Bank & Research CoRE, Friedman Brain Institute, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ann C McKee
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston VA Healthcare System, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Bedford VA Healthcare System, Bedford, MA, USA
| | - Jesse Mez
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Boston University Chronic Traumatic Encephalopathy Center, Boston University, Boston, MA, USA.
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3
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Walton SR, Kerr ZY, Powell JR, Giovanello KS, McCrea MA, Guskiewicz KM, Brett BL. An 18-Year Study of Changes in Neurocognitive Function and Associations with Repetitive Head Trauma among Former Collegiate American Football Players: A Case Series. Arch Clin Neuropsychol 2025:acaf032. [PMID: 40324179 DOI: 10.1093/arclin/acaf032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2025] [Revised: 04/04/2025] [Accepted: 04/13/2025] [Indexed: 05/07/2025] Open
Abstract
OBJECTIVES To assess changes in neurocognitive test scores among former collegiate American football players over 18 years and examine associations with head trauma history. METHODS Former collegiate American football players (n = 31; aged = 38.4 ± 1.3 years) self-reported their concussion history and repetitive head impact exposure (Head Impact Exposure Estimate). Neurocognitive testing was conducted at two time-points (during college [T1] and 18-year follow-up [T2]) via Hopkins Verbal Learning Test-Revised Immediate and Delayed Recall; Verbal fluency; Symbol Digit Modalities Test; and Trail-Making Test-B. Raw score changes were calculated, with accompanying Cohen's d effect sizes and coefficients of variation. Repeated-measures analyses of covariance models were fit to examine changes in test performance. Multivariable linear regression models tested associations of sport-related concussion history and repetitive head impact exposure with change scores. RESULTS No significant changes in cognitive test performance were observed (ps ≥ .06). Individual-level changes exhibited high variability (coefficients of variation ≥ 244%), and group-level effects were small to medium (d ≤ 0.41). Neither sport-related concussion history nor repetitive head impacts were related to change scores (ps > .05). CONCLUSIONS Group-level test scores did not change over 18 years among former collegiate football players now in midlife, though individual-level variability was high. Sport-related concussion and head impact exposure estimates were not related to change. Longitudinal studies are essential to understand cognitive trajectories of former football players and factors influencing those trajectories.
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Affiliation(s)
- Samuel R Walton
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University School of Medicine, Richmond, VA 23298, USA
- Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Zachary Yukio Kerr
- Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Jacob R Powell
- Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Kelly S Giovanello
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Michael A McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Kevin M Guskiewicz
- Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Benjamin L Brett
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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4
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Groh JR, Yhang E, Tripodis Y, Palminsano J, Martin B, Burke E, Bhatia U, Mez J, Stern RA, Gunstad J, Alosco ML. Health outcomes of former division I college athletes. Brain Inj 2025; 39:88-98. [PMID: 39306858 DOI: 10.1080/02699052.2024.2405209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 09/06/2024] [Accepted: 09/11/2024] [Indexed: 10/25/2024]
Abstract
BACKGROUND Former professional collision sport (CS) athletes, particularly American football players, are at risk of developing chronic health conditions; however, little is known about the health outcomes of amateur athletes. METHODS A 60-item health survey examined self-reported symptoms and diagnoses among former Division 1 Collegiate CS athletes and non- or limited-contact sport (non-CS) athletes. Binary logistic regressions tested the association between playing CS and health outcomes. RESULTS Five hundred and two (6.2%) participants completed the survey: 160 CS athletes (mean age: 59.2, SD = 16.0) and 303 non-CS athletes (mean age: 54.0, SD = 16.9). CS athletes had increased odds of reported cognitive complaints and neuropsychiatric symptoms including memory (Padj < 0.01), attention/concentration (Padj = 0.01), problem solving/multi-tasking (Padj = 0.05), language (Padj = 0.02), anxiety (Padj = 0.04), impulsivity (Padj = 0.02), short-fuse/rage/explosivity (Padj < 0.001), and violence/aggression (Padj = 0.02). CS athletes also reported higher rates of sleep apnea (Padj = 0.02). There were no group differences in cardiovascular and physical health outcomes. CONCLUSIONS Former CS athletes reported more cognitive and neuropsychiatric complaints. The low response rate is a limitation of this study; however, over 500,000 athletes play college sports each year, thus research on long-term health outcomes in this population is critical.
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Affiliation(s)
- Jenna R Groh
- Graduate Medical Sciences, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Eukyung Yhang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Joseph Palminsano
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Brett Martin
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Erin Burke
- Department of Psychology, Kent State University, Kent, OH, USA
| | - Urja Bhatia
- Department of Psychology, Kent State University, Kent, OH, USA
| | - Jesse Mez
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Robert A Stern
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - John Gunstad
- Department of Psychology, Kent State University, Kent, OH, USA
| | - Michael L Alosco
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
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5
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Altaras C, Ly MT, Schultz O, Barr WB, Banks SJ, Wethe JV, Tripodis Y, Adler CH, Balcer LJ, Bernick C, Zetterberg H, Blennow K, Ashton N, Peskind E, Cantu RC, Coleman MJ, Lin AP, Koerte IK, Bouix S, Daneshvar D, Dodick DW, Geda YE, Katz DL, Weller JL, Mez J, Palmisano JN, Martin B, Cummings JL, Reiman EM, Shenton ME, Stern RA, Alosco ML. Dispersion-based cognitive intra-individual variability in former American football players: Association with traumatic encephalopathy syndrome, repetitive head impacts, and biomarkers. Clin Neuropsychol 2025:1-29. [PMID: 39865747 DOI: 10.1080/13854046.2025.2453103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Accepted: 01/09/2025] [Indexed: 01/28/2025]
Abstract
Background: Exposure to repetitive head impacts (RHI), such as those experienced in American football, is linked to cognitive dysfunction later in life. Traumatic encephalopathy syndrome (TES) is a proposed clinical syndrome thought to be linked to neuropath-ology of chronic traumatic encephalopathy (CTE), a condition associated with RHI from football. Cognitive intra-individual variability (d-CIIV) measures test-score dispersion, indicating cognitive dysfunction. This study examined d-CIIV in former football players and its associations with TES diagnosis, RHI exposure, and DTI and CSF biomarkers. Methods: Data included 237 males (45-74 years) from DIAGNOSE CTE Research Project, including former professional and college football players (COL) (n = 173) and asymptomatic men without RHI or TBI (n = 55). Participants completed neuropsychological tests. TES diagnosis was based on 2021 NINDS TES criteria. Years of football play and a cumulative head impact index (CHII) measured RHI exposure. Lumipulse technology was used for CSF assays. DTI fractional anisotropy assessed white matter integrity. Coefficient of variation (CoV) measured d-CIIV. ANCOVA compared d-CIIV among groups (football versus control; TES-status). Pearson correlations and linear regressions tested associations between d-CIIV, RHI exposure, and CSF and DTI biomarkers. Results: Former professional players had higher d-CIIV than controls (F(7, 194) = 2.87, p = .007). d-CIIV was associated with TES diagnosis (F(8, 146) = 9.063, p < .001), with highest d-CIIV in TES Possible/Probable-CTE. Higher d-CIIV correlated with higher CHII scores (r = 0.19), reduced CSF Aβ1-42 (β = -0.302), increased p-tau181 (β = 0.374), and reduced DTI FA (β = -0.202). Conclusion: d-CIIV is linked to RHI exposure and TES diagnosis in former football players, with associated changes in CSF biomarkers and white matter integrity.
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Affiliation(s)
- Caroline Altaras
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Monica T Ly
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Olivia Schultz
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - William B Barr
- Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA
| | - Sarah J Banks
- Department of Psychiatry, University of California San Diego Health, La Jolla, CA, USA
- Department of Neurosciences, University of California, San Diego, CA, USA
| | - Jennifer V Wethe
- Department of Psychiatry and Psychology, Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Yorghos Tripodis
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Charles H Adler
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Laura J Balcer
- Departments of Neurology, Population Health and Ophthalmology, NYU Grossman School of Medicine, New York, NY, USA
| | - Charles Bernick
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UKDementia Research Institute at UCL, UCL Institute of Neurology, University College London, London, UK
- Kong Center for Neurodegenerative Diseases, Hong Kong, ROC
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | | | - Elaine Peskind
- Department of Psychiatry and Behavioral Sciences, University of Washington Medicine, Seattle, WA, USA
- Education, and Clinical Center, NW Mental Illness Research, Seattle, WA, USA
| | - Robert C Cantu
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Michael J Coleman
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
| | - Alexander P Lin
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Center for Clinical Spectroscopy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Inga K Koerte
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Department of Child and Adolescent Psychiatry, Ludwigs-Maximilians-Universität, cBRAIN, Munich, Germany
| | - Sylvain Bouix
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
| | - Daniel Daneshvar
- Department of Physical Medicine & Rehabilitation, Massachusetts General Hospital, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA
| | - David W Dodick
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
- Atria Academy of Science and Medicine, New York, NY, USA
| | - Yonas E Geda
- Department of Neurology, the Franke Barrow Global Neuroscience Education Center, Neurological Institute, Barrow Phoenix, AZ, USA
| | - Douglas L Katz
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Jason L Weller
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Jesse Mez
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Joseph N Palmisano
- Biostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, MA, USA
| | - Brett Martin
- Biostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, MA, USA
| | - Jeffrey L Cummings
- Department of Brain Health, School of Integrated Health Sciences, Chambers-Grundy Center for Transformative Neuroscience, University of Nevada Las Vegas, Las Vegas, NV, USA
| | - Eric M Reiman
- Banner Alzheimer's Institute, Phoenix, AZ, USA
- University of Arizona College of Medicine-Phoenix, Phoenix, AZ, USA
- Neuroscience, Arizona State University, Phoenix, AZ, USA
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Martha E Shenton
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Robert A Stern
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Michael L Alosco
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
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6
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Ly MT, Altaras C, Tripodis Y, Adler CH, Balcer LJ, Bernick C, Zetterberg H, Blennow K, Peskind ER, Banks SJ, Barr WB, Wethe JV, Lenio S, Bondi MW, Delano-Wood LM, Cantu RC, Coleman MJ, Dodick DW, Mez J, Daneshvar DH, Palmisano JN, Martin B, Lin AP, Koerte IK, Bouix S, Cummings JL, Reiman EM, Shenton ME, Stern RA, Alosco ML. Single- versus two-test criteria for cognitive impairment: associations with CSF and imaging markers in former American football players. Clin Neuropsychol 2025:1-25. [PMID: 39834028 DOI: 10.1080/13854046.2025.2451828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Accepted: 01/07/2025] [Indexed: 01/22/2025]
Abstract
Objective: Cognitive impairment is a core feature of traumatic encephalopathy syndrome (TES), the putative clinical syndrome of chronic traumatic encephalopathy-a neuropathological disease associated with repetitive head impacts (RHI). Careful operationalization of cognitive impairment is essential to improving the diagnostic specificity and accuracy of TES criteria. We compared single- versus two-test criteria for cognitive impairment in their associations with CSF and imaging biomarkers in male former American football players. Method: 169 participants from the DIAGNOSE CTE Research Project completed neuropsychological tests of memory and executive functioning. Cognitive impairment was identified by single-test criteria (z≤-1.5 on one test) and two-test criteria (z<-1 on two tests within a domain). ANCOVAs adjusting for age, race, education, body mass index, word-reading score, and APOE ε4 status assessed whether single- or two-test criteria predicted CSF markers (Aβ1-42, p-tau181, p-tau181/Aβ1-42, total tau, neurofilament light [NfL], glial fibrillary acidic protein [GFAP]) and MRI markers (hippocampal volume, cortical thickness, white matter hyperintensities). Results: Ninety-nine participants met single-test criteria for cognitive impairment. Sixty-six met two-test criteria. Participants who met two-test criteria had greater exposure to RHI than those who did not (p=.04). Two-test criteria were -associated with higher CSF p-tau181/Aβ1-42 (q=.02) and CSF NfL (q=.02). The association between two-test criteria and CSF NfL remained after excluding amyloid-positive participants (q=.04). Single-test criteria were not associated with any biomarkers (q's>.05). Conclusions: Two-test but not single-test criteria for cognitive impairment were associated with markers of neurodegeneration. Future clinical research in TES may benefit from applying two-test criteria to operationalize cognitive impairment.
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Affiliation(s)
- Monica T Ly
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center and Chronic Traumatic Encephalopathy Center, Boston, MA, USA
| | - Caroline Altaras
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center and Chronic Traumatic Encephalopathy Center, Boston, MA, USA
| | - Yorghos Tripodis
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center and Chronic Traumatic Encephalopathy Center, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Charles H Adler
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Laura J Balcer
- Departments of Neurology, Population Health and Ophthalmology, NYU Grossman School of Medicine, New York, NY, USA
| | - Charles Bernick
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom
- UK Dementia Research Institute at UCL, UCL Institute of Neurology, University College London, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Elaine R Peskind
- VA Northwest Mental Illness Research, Education, and Clinical Center, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Sarah J Banks
- Department of Psychiatry, University of California San Diego Health, La Jolla, CA, USA
- Department of Neurosciences, University of California, San Diego, CA, USA
| | - William B Barr
- Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA
| | - Jennifer V Wethe
- Department of Psychiatry and Psychology, Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Steve Lenio
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center and Chronic Traumatic Encephalopathy Center, Boston, MA, USA
| | - Mark W Bondi
- Department of Psychiatry, University of California San Diego Health, La Jolla, CA, USA
- VA San Diego Healthcare System, San Diego, CA, USA
| | - Lisa M Delano-Wood
- Department of Psychiatry, University of California San Diego Health, La Jolla, CA, USA
- VA San Diego Healthcare System, San Diego, CA, USA
| | - Robert C Cantu
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center and Chronic Traumatic Encephalopathy Center, Boston, MA, USA
| | - Michael J Coleman
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
| | - David W Dodick
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
- Atria Academy of Science and Medicine, New York, NY, USA
| | - Jesse Mez
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center and Chronic Traumatic Encephalopathy Center, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Daniel H Daneshvar
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Mass General Brigham-Spaulding Rehabilitation, Charlestown, MA, USA
| | - Joseph N Palmisano
- Biostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, MA, USA
| | - Brett Martin
- Biostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, MA, USA
| | - Alexander P Lin
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
- Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Inga K Koerte
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwigs-Maximilians-Universität, Munich, Germany
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
- Department of Software Engineering and Information Technology, École de technologie supérieure, Université du Québec, Montréal, QC, Canada
| | - Jeffrey L Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA
| | - Eric M Reiman
- Banner Alzheimer's Institute, Phoenix, AZ, USA
- Evelyn F. McKnight Brain Institute, University of Arizona, Phoenix, AZ, USA
- School of Life Sciences, Arizona State University, Phoenix, AZ, USA
- Translational Genomics Research Institute, Phoenix, AZ, USA
- Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Robert A Stern
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center and Chronic Traumatic Encephalopathy Center, Boston, MA, USA
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy & Neurobiology and Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Michael L Alosco
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center and Chronic Traumatic Encephalopathy Center, Boston, MA, USA
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7
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Asken BM, Brett BL, Barr WB, Banks S, Wethe JV, Dams-O'Connor K, Stern RA, Alosco ML. Chronic traumatic encephalopathy: State-of-the-science update and narrative review. Clin Neuropsychol 2025:1-25. [PMID: 39834035 DOI: 10.1080/13854046.2025.2454047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 01/10/2025] [Indexed: 01/22/2025]
Abstract
OBJECTIVE The long-recognized association of brain injury with increased risk of dementia has undergone significant refinement and more detailed study in recent decades. Chronic traumatic encephalopathy (CTE) is a specific neurodegenerative tauopathy related to prior exposure to repetitive head impacts (RHI). We aim to contextualize CTE within a historical perspective and among emerging data which highlights the scientific and conceptual evolution of CTE-related research in parallel with the broader field of neurodegenerative disease and dementia. METHODS We provide a narrative state-of-the-science update on CTE neuropathology, clinical manifestations, biomarkers, different types and patterns of head impact exposure relevant for CTE, and the complicated influence of neurodegenerative co-pathology on symptoms. CONCLUSIONS Now almost 20 years since the initial case report of CTE in a former American football player, the field of CTE continues evolving with increasing clarity but also several ongoing controversies. Our understanding of CTE neuropathology outpaces that of disease-specific clinical correlates or the development of in-vivo biomarkers. Diagnostic criteria for symptoms attributable to CTE are still being validated, but leveraging increasingly available biomarkers for other conditions like Alzheimer's disease may be helpful for informing the CTE differential diagnosis. As diagnostic refinement efforts advance, clinicians should provide care and/or referrals to providers best suited to treat an individual patient's clinical symptoms, many of which have evidence-based behavioral treatment options that are etiologically agnostic. Several ongoing research initiatives and the gradual accrual of gold standard clinico-pathological data will pay dividends for advancing the many existing gaps in the field of CTE.
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Affiliation(s)
- Breton M Asken
- Department of Clinical and Health Psychology, University of Florida, 1Florida Alzheimer's Disease Research Center, Gainesville, FL, USA
| | - Benjamin L Brett
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WS, USA
| | - William B Barr
- Department of Neurology, New York University Langone Health Medical Center, New York, NY, USA
| | - Sarah Banks
- Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Jennifer V Wethe
- Departments of Psychiatry and Psychology, Mayo Clinic, Phoenix, AZ, USA
| | - Kristen Dams-O'Connor
- Departments of Rehabilitation Medicine and Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert A Stern
- Departments of Neurology, Neurosurgery, and Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston University CTE and Alzheimer's Disease Research Centers, Boston, MA, USA
| | - Michael L Alosco
- Departments of Neurology and Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston University CTE and Alzheimer's Disease Research Centers, Boston, MA, USA
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8
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Brett BL, Sullivan ME, Asken BM, Terry DP, Meier TB, McCrea MA. Long-term neurobehavioral and neuroimaging outcomes in athletes with prior concussion(s) and head impact exposure. Clin Neuropsychol 2025:1-29. [PMID: 39797596 DOI: 10.1080/13854046.2024.2442427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Accepted: 12/11/2024] [Indexed: 01/13/2025]
Abstract
Objective: The long-term health of former athletes with a history of multiple concussions and/or repetitive head impact (RHI) exposure has been of growing interest among the public. The true proportion of dementia cases attributable to neurotrauma and the neurobehavioral profile/sequelae of multiple concussion and RHI exposure among athletes has been difficult to determine. Methods: Across three exposure paradigms (i.e. group comparisons of athletes vs. controls, number of prior concussions, and level of RHI exposure), this review characterizes the prevalence of neurodegenerative/neurological disease, changes in cognitive and psychiatric function, and alterations on neuroimaging. We highlight sources of variability across studies and provide suggested directions for future investigations. Results: The most robust finding reported in the literature suggests a higher level of symptom endorsement (general, psychiatric, and cognitive) among those with a greater history of sport-related concussion from adolescence to older adulthood. Pathological processes (e.g. atrophy, tau deposition, and hypometabolism) may be more likely to occur within select regions (frontal and temporal cortices) and structures (thalamus and hippocampus). However, studies examining concussion(s) and RHI exposure with imaging outcomes have yet to identify consistent associations or evidence of a dose-response relationship or a threshold at which associations are observed. Discussion: Studies have not observed a simple dose-response relationship between multiple concussions and/or RHI exposure with cognitive, psychiatric, or in vivo neurobiological outcomes, particularly at lower levels of play. The relationship between prior concussion and RHI exposure with long-term outcomes in former athletes is complex and likely influenced by -several non-injury-related factors.
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Affiliation(s)
- Benjamin L Brett
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Mikaela E Sullivan
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Breton M Asken
- Department of Clinical and Health Psychology, University of Florida, 1Florida Alzheimer's Disease Research Center, Gainesville, FL, USA
| | - Douglas P Terry
- Department of Neurological Surgery, Vanderbilt Sports Concussion Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Timothy B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Michael A McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
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9
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Cheng J, Wu BT, Liu HP, Lin WY. Machine learning identified novel players in lipid metabolism, endosomal trafficking, and iron metabolism of the ALS spinal cord. Sci Rep 2025; 15:1564. [PMID: 39794401 PMCID: PMC11723943 DOI: 10.1038/s41598-024-81315-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 11/26/2024] [Indexed: 01/13/2025] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease affecting motor neurons. Although genes causing familial cases have been identified, those of sporadic ALS, which occupies the majority of patients, are still elusive. In this study, we adopted machine learning to build binary classifiers based on the New York Genome Center (NYGC) ALS Consortium's RNA-seq data of the postmortem spinal cord of ALS and non-neurological disease control. The accuracy of the classifiers was greater than 83% and 77% for the training set and the unseen test set, respectively. The classifiers contained 114 genes. Among them, 41 genes have been reported in previous ALS studies, and others are novel in this field. These genes are involved in mitochondrial respiration, lipid metabolism, endosomal trafficking, and iron metabolism, which may promote the progression of ALS pathology.
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Affiliation(s)
- Jack Cheng
- Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan
- Department of Medical Research, China Medical University Hospital, Taichung, 40447, Taiwan
| | - Bor-Tsang Wu
- Department of Senior Citizen Service Management, National Taichung University of Science and Technology, Taichung, 40343, Taiwan
| | - Hsin-Ping Liu
- Graduate Institute of Acupuncture Science, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan.
| | - Wei-Yong Lin
- Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan.
- Department of Medical Research, China Medical University Hospital, Taichung, 40447, Taiwan.
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10
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Nicks R, Shah A, Stathas SA, Kirsch D, Horowitz SM, Saltiel N, Calderazzo SM, Butler MLMD, Cormier KA, Aytan N, Tu-Zahra F, Mathias R, Faheem F, Marcus S, Spurlock E, Fishbein L, Esnault CD, Boden A, Rosen G, Xia W, Daley S, Meng G, Martin BR, Daneshvar DH, Nowinski CJ, Alosco ML, Mez J, Tripodis Y, Huber BR, Alvarez VE, Cherry JD, McKee AC, Stein TD. Neurodegeneration in the cortical sulcus is a feature of chronic traumatic encephalopathy and associated with repetitive head impacts. Acta Neuropathol 2024; 148:79. [PMID: 39643767 PMCID: PMC11624223 DOI: 10.1007/s00401-024-02833-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 11/11/2024] [Accepted: 11/11/2024] [Indexed: 12/09/2024]
Abstract
Neurodegeneration is a seminal feature of many neurological disorders. Chronic traumatic encephalopathy (CTE) is caused by repetitive head impacts (RHI) and is characterized by sulcal tau pathology. However, quantitative assessments of regional neurodegeneration in CTE have not been described. In this study, we quantified three key neurodegenerative measures, including cortical thickness, neuronal density, and synaptic proteins, in contact sport athletes (n = 185) and non-athlete controls (n = 52) within the sulcal depth, middle, and gyral crest of the dorsolateral frontal cortex. Cortical thickness and neuronal density were decreased within the sulcus in CTE compared to controls (p's < 0.05). Measurements of synaptic proteins within the gyral crest showed a reduction of α-synuclein with CTE stage (p = 0.002) and variable changes in PSD-95 density. After adjusting for age, multiple linear regression models demonstrated a strong association between the duration of contact sports play and cortical thinning (p = 0.001) and neuronal loss (p = 0.032) within the sulcus. Additional regression models, adjusted for tau pathology, suggest that within the sulcus, the duration of play was associated with neuronal loss predominantly through tau pathology. In contrast, the association of duration of play with cortical thinning was minimally impacted by tau pathology. Overall, CTE is associated with cortical atrophy and a predominant sulcal neurodegeneration. Furthermore, the duration of contact sports play is associated with measures of neurodegeneration that are more severe in the cortical sulcus and may occur through tau-dependent and independent mechanisms.
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Affiliation(s)
- Raymond Nicks
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
- VA Bedford Healthcare System, Bedford, MA, USA
| | - Arsal Shah
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
| | - Spiro Anthony Stathas
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Bedford Healthcare System, Bedford, MA, USA
| | - Daniel Kirsch
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Sarah M Horowitz
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
| | - Nicole Saltiel
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
| | - Samantha M Calderazzo
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Morgane L M D Butler
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
- Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Kerry A Cormier
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Bedford Healthcare System, Bedford, MA, USA
| | - Nurgul Aytan
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Fatima Tu-Zahra
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Rebecca Mathias
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
| | - Farwa Faheem
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
| | | | - Elizabeth Spurlock
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
| | - Lucas Fishbein
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
| | - Camille D Esnault
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
| | - Alexandra Boden
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
| | - Grace Rosen
- VA Boston Healthcare System, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Weiming Xia
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Bedford Healthcare System, Bedford, MA, USA
- Department of Biological Sciences, Kennedy College of Science, University of Massachusetts, Lowell, MA, USA
| | - Sarah Daley
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Bedford Healthcare System, Bedford, MA, USA
| | | | - Brett R Martin
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Daniel H Daneshvar
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, MA, USA
- Department of Physical Medicine and Rehabilitation, Mass General Brigham-Spaulding Rehabilitation, Charlestown, MA, USA
| | - Christopher J Nowinski
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- Concussion Legacy Foundation, Boston, MA, USA
| | - Michael L Alosco
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Yorghos Tripodis
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Bertrand R Huber
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Victor E Alvarez
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- VA Bedford Healthcare System, Bedford, MA, USA
| | - Jonathan D Cherry
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Ann C McKee
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- VA Bedford Healthcare System, Bedford, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Thor D Stein
- Boston University Alzheimer's Disease and CTE Center, Boston Chobanian & Avedisian University School of Medicine, Boston, MA, USA.
- VA Boston Healthcare System, Boston, MA, USA.
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
- VA Bedford Healthcare System, Bedford, MA, USA.
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA.
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Rustamzadeh A, Sadigh N, Vahabi Z, Khamseh F, Mohebi N, Ghobadi Z, Moradi F. Effects silymarin and rosuvastatin on amyloid-carriers level in dyslipidemic Alzheimer's patients: A double-blind placebo-controlled randomized clinical trial. IBRO Neurosci Rep 2024; 17:108-121. [PMID: 39139290 PMCID: PMC11321388 DOI: 10.1016/j.ibneur.2024.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 06/19/2024] [Accepted: 07/18/2024] [Indexed: 08/15/2024] Open
Abstract
Purpose The production/excretion rate of Amyloid-β (Aβ) is the basis of the plaque burden in alzheimer's disease (AD), which depends on both central and peripheral clearance. In this study, the effect of silymarin and rosuvastatin on serum markers and clinical outcomes in dyslipidemic AD patients was investigated. Methods Participants (n=36) were randomized to silymarin (140 mg), placebo, and rosuvastatin 10 mg orally three times a day for 6 months. Serum collection and clinical outcome tests were performed at baseline and after completion of treatment. Lipid profile markers, oxidative stress markers, Aβ1-42/Aβ1-40 ratio, and Soluble Low-density lipoprotein receptor-Related Protein-1 (sLRP1)/Soluble Receptor for Advanced Glycation End Products (sRAGE) ratio were measured. Results There was a statistically significant increase in Δ-high density lipoprotein (ΔHDL) between silymarin and placebo (P<0.000) and also between rosuvastatin and placebo (p=0.044). The level of Δ-triglycerides (ΔTG) in the silymarin group has a significant decrease compared to both the placebo and the rosuvastatin group (p<0.000 and p=0.036, respectively). The Δ-superoxide dismutase (ΔSOD) level in the silymarin group compared to placebo and rosuvastatin had a significant increase (p<0.000 and p=0.008, respectively). The ΔAβ1-42/Aβ1-40 in the silymarin group compared to both the placebo and rosuvastatin groups had a significant increase (p<0.05). There was an inverse relationship between ΔTG and ΔAβ1-42/Aβ1-40 (p=-0.493 and p=0.004). ΔAβ1-42/Aβ1-40 has a direct statistical relationship with ΔSOD marker (p=0.388 and p=0.031). Also, there was a direct correlation between the level of ΔAβ1-42/Aβ1-40 and ΔsLRP1/sRAGE (p=0.491 and p=0.005). Conclusion Our study showed the relationship between plasma lipids, especially ΔTG and ΔHDL, with ΔAβ1-42/Aβ1-40 in dyslipidemic AD patients, and modulation of these lipid factors can be used to monitor the response to treatments.
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Affiliation(s)
- Auob Rustamzadeh
- Department of Anatomy, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Department of Anatomical Sciences, Faculty of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Nader Sadigh
- Department of Emergency Medicine, School of Medicine, Trauma and Injury Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Zahra Vahabi
- Department of Geriatric Medicine, Ziaeian Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Khamseh
- Department of Neurology, Faculty of Medicine, Islamic Azad University, Tehran, Iran
| | - Nafiseh Mohebi
- Department of Neurology, Rasool Akram Hospital, School of Medicine, Iran University of Medial Sciences, Tehran, Iran
| | - Zahra Ghobadi
- Neuroimaging and Clinical Biomarkers Research Group, Pars Darman Medical Imaging Center, Karaj, Iran
| | - Fatemeh Moradi
- Department of Anatomy, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
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12
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Miner AE, Groh JR, Tripodis Y, Adler CH, Balcer LJ, Bernick C, Zetterberg H, Blennow K, Peskind E, Ashton NJ, Gaudet CE, Martin B, Palmisano JN, Banks SJ, Barr WB, Wethe JV, Cantu RC, Dodick DW, Katz DI, Mez J, van Amerongen S, Cummings JL, Shenton ME, Reiman EM, Stern RA, Alosco ML, for the DIAGNOSE CTE Research Project. Examination of plasma biomarkers of amyloid, tau, neurodegeneration, and neuroinflammation in former elite American football players. Alzheimers Dement 2024; 20:7529-7546. [PMID: 39351900 PMCID: PMC11567811 DOI: 10.1002/alz.14231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 07/24/2024] [Accepted: 07/27/2024] [Indexed: 11/17/2024]
Abstract
INTRODUCTION Blood-based biomarkers offer a promising approach for the detection of neuropathologies from repetitive head impacts (RHI). We evaluated plasma biomarkers of amyloid, tau, neurodegeneration, and inflammation in former football players. METHODS The sample included 180 former football players and 60 asymptomatic, unexposed male participants (aged 45-74). Plasma assays were conducted for beta-amyloid (Aβ) 40, Aβ42, hyper-phosphorylated tau (p-tau) 181+231, total tau (t-tau), neurofilament light (NfL), glial fibrillary acidic protein (GFAP), interleukin-6 (IL-6), Aβ42/p-tau181 and Aβ42/Aβ40 ratios. We evaluated their ability to differentiate the groups and associations with RHI proxies and traumatic encephalopathy syndrome (TES). RESULTS P-tau181 and p-tau231(padj = 0.016) were higher and Aβ42/p-tau181 was lower(padj = 0.004) in football players compared to controls. Discrimination accuracy for p-tau was modest (area under the curve [AUC] = 0.742). Effects were not attributable to AD-related pathology. Younger age of first exposure (AFE) correlated with higher NfL (padj = 0.03) and GFAP (padj = 0.033). Plasma GFAP was higher in TES-chronic traumatic encephalopathy (TES-CTE) Possible/Probable (padj = 0.008). DISCUSSION Plasma p-tau181 and p-tau231, GFAP, and NfL may offer some usefulness for the characterization of RHI-related neuropathologies. HIGHLIGHTS Former football players had higher plasma p-tau181 and p-tau231 and lower Aβ42/ptau-181 compared to asymptomatic, unexposed men. Younger age of first exposure was associated with increased plasma NfL and GFAP in older but not younger participants. Plasma GFAP was higher in participants with TES-CTE possible/probable compared to TES-CTE no/suggestive.
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Grants
- ZEN-21-848495 Alzheimer's Association 2021 Zenith Award
- ALZ2022-0006 Hjärnfonden, Sweden
- U01 NS093334 NINDS NIH HHS
- ALFGBG-965240 Hjärnfonden, Sweden
- JPND2021-00694 European Union Joint Programme-Neurodegenerative Disease Research
- UKDRI-1003 UK Dementia Research Institute at UCL
- 2022-00732 UK Dementia Research Institute at UCL
- SG-23-1038904 QC Alzheimer's Association 2022-2025 Grant
- AF-939721 Swedish Alzheimer Foundation
- AF-930351 Swedish Alzheimer Foundation
- RF1 NS132290 NINDS NIH HHS
- AF-994551 Swedish Alzheimer Foundation
- ADSF-21-831381-C AD Strategic Fund and the Alzheimer's Association
- Bluefield Project, Cure Alzheimer's Fund
- JPND2019-466-236 European Union Joint Program for Neurodegenerative Disorders
- 2017-00915 UK Dementia Research Institute at UCL
- Olav Thon Foundation, the Erling-Persson Family Foundation
- FO2017-0243 Hjärnfonden, Sweden
- ADSF-21-831376-C AD Strategic Fund and the Alzheimer's Association
- European Union's Horizon 2020
- ADSF-24-1284328-C AD Strategic Fund and the Alzheimer's Association
- RF1NS132290 National Institute of Neurological Disorders and Stroke/National Institute on Aging
- Kirsten and Freddy Johansen Foundation, Copenhagen, Denmark
- ALFGBG-715986 Hjärnfonden, Sweden
- #ALFGBG-71320 Swedish State Support for Clinical Research
- AF-968270 Swedish Alzheimer Foundation
- ADSF-21-831377-C AD Strategic Fund and the Alzheimer's Association
- FO2022-0270 Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden
- 101053962 European Union's Horizon Europe
- 201809-2016862 Alzheimer Drug Discovery Foundation
- La Fondation Recherche Alzheimer
- U01NS093334 National Institute of Neurological Disorders and Stroke (NINDS)
- National Institute for Health and Care Research University College London Hospitals Biomedical Research Centre
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13
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Arciniega H, Baucom ZH, Tuz-Zahra F, Tripodis Y, John O, Carrington H, Kim N, Knyazhanskaya EE, Jung LB, Breedlove K, Wiegand TLT, Daneshvar DH, Rushmore RJ, Billah T, Pasternak O, Coleman MJ, Adler CH, Bernick C, Balcer LJ, Alosco ML, Koerte IK, Lin AP, Cummings JL, Reiman EM, Stern RA, Shenton ME, Bouix S. Brain morphometry in former American football players: findings from the DIAGNOSE CTE research project. Brain 2024; 147:3596-3610. [PMID: 38533783 PMCID: PMC11449133 DOI: 10.1093/brain/awae098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 02/16/2024] [Accepted: 03/02/2024] [Indexed: 03/28/2024] Open
Abstract
Exposure to repetitive head impacts in contact sports is associated with neurodegenerative disorders including chronic traumatic encephalopathy (CTE), which currently can be diagnosed only at post-mortem. American football players are at higher risk of developing CTE given their exposure to repetitive head impacts. One promising approach for diagnosing CTE in vivo is to explore known neuropathological abnormalities at post-mortem in living individuals using structural MRI. MRI brain morphometry was evaluated in 170 male former American football players ages 45-74 years (n = 114 professional; n = 56 college) and 54 same-age unexposed asymptomatic male controls (n = 54, age range 45-74). Cortical thickness and volume of regions of interest were selected based on established CTE pathology findings and were assessed using FreeSurfer. Group differences and interactions with age and exposure factors were evaluated using a generalized least squares model. A separate logistic regression and independent multinomial model were performed to predict each traumatic encephalopathy syndrome (TES) diagnosis, core clinical features and provisional level of certainty for CTE pathology using brain regions of interest. Former college and professional American football players (combined) showed significant cortical thickness and/or volume reductions compared to unexposed asymptomatic controls in the hippocampus, amygdala, entorhinal cortex, parahippocampal gyrus, insula, temporal pole and superior frontal gyrus. Post hoc analyses identified group-level differences between former professional players and unexposed asymptomatic controls in the hippocampus, amygdala, entorhinal cortex, parahippocampal gyrus, insula and superior frontal gyrus. Former college players showed significant volume reductions in the hippocampus, amygdala and superior frontal gyrus compared to the unexposed asymptomatic controls. We did not observe Age × Group interactions for brain morphometric measures. Interactions between morphometry and exposure measures were limited to a single significant positive association between the age of first exposure to organized tackle football and right insular volume. We found no significant relationship between brain morphometric measures and the TES diagnosis core clinical features and provisional level of certainty for CTE pathology outcomes. These findings suggested that MRI morphometrics detect abnormalities in individuals with a history of repetitive head impact exposure that resemble the anatomic distribution of pathological findings from post-mortem CTE studies. The lack of findings associating MRI measures with exposure metrics (except for one significant relationship) or TES diagnosis and core clinical features suggested that brain morphometry must be complemented by other types of measures to characterize individuals with repetitive head impacts.
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Affiliation(s)
- Hector Arciniega
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Rehabilitation Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
- NYU Concussion Center, NYU Langone Health, New York, NY 10016, USA
| | - Zachary H Baucom
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Fatima Tuz-Zahra
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Omar John
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Rehabilitation Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
- NYU Concussion Center, NYU Langone Health, New York, NY 10016, USA
| | - Holly Carrington
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
| | - Nicholas Kim
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
| | - Evdokiya E Knyazhanskaya
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
| | - Leonard B Jung
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry Psychosomatics and Psychotherapy, University Hospital Ludwig-Maximilians-Universität, Munich, Bavaria 80336, Germany
| | - Katherine Breedlove
- Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Tim L T Wiegand
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry Psychosomatics and Psychotherapy, University Hospital Ludwig-Maximilians-Universität, Munich, Bavaria 80336, Germany
| | - Daniel H Daneshvar
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA 02115, USA
- Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA 02129, USA
| | - R Jarrett Rushmore
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Tashrif Billah
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Michael J Coleman
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
| | - Charles H Adler
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ 85259, USA
| | - Charles Bernick
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV 89106, USA
- Department of Neurology, University of Washington, Seattle, WA 98195, USA
| | - Laura J Balcer
- Department of Neurology, NYU Grossman School of Medicine, New York, NY 10017, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, NY 10017, USA
- Department of Ophthalmology, NYU Grossman School of Medicine, New York, NY 10017, USA
| | - Michael L Alosco
- Department of Neurology, Boston University Alzheimer’s Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Inga K Koerte
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- cBRAIN, Department of Child and Adolescent Psychiatry Psychosomatics and Psychotherapy, University Hospital Ludwig-Maximilians-Universität, Munich, Bavaria 80336, Germany
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
- Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität, 82152 Munich, Bavaria, Germany
| | - Alexander P Lin
- Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jeffrey L Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Pam Quirk Brain Health and Biomarker Laboratory, Department of Brain Health School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Eric M Reiman
- Banner Alzheimer’s Institute and Arizona Alzheimer’s Consortium, Phoenix, AZ 85006, USA
- Department of Psychiatry, University of Arizona, Phoenix, AZ 85004, USA
- Department of Psychiatry, Arizona State University, Phoenix, AZ 85008, USA
- Neurogenomics Division, Translational Genomics Research Institute and Alzheimer’s Consortium, Phoenix, AZ 85004, USA
| | - Robert A Stern
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Neurology, Boston University Alzheimer’s Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02145, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Sylvain Bouix
- Department of Software Engineering and Information Technology, École de technologie supérieure, Université du Québec, Montréal, QC H3C 1K3, Canada
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14
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Affiliation(s)
- Michael L Alosco
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston Medical Center, Boston, Massachusetts
| | - Kristine Yaffe
- Departments of Psychiatry, Epidemiology & Biostatistics, and Neurology, University of California, San Francisco
- San Francisco Veterans Affairs Medical Center, San Francisco, California
- Center for Population Brain Health, University of California, San Francisco
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15
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Clarke AJ, Brodtmann A, Irish M, Mowszowski L, Radford K, Naismith SL, Mok VC, Kiernan MC, Halliday GM, Ahmed RM. Risk factors for the neurodegenerative dementias in the Western Pacific region. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 50:101051. [PMID: 39399869 PMCID: PMC11471060 DOI: 10.1016/j.lanwpc.2024.101051] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/04/2024] [Accepted: 03/12/2024] [Indexed: 10/15/2024]
Abstract
The Western Pacific Region (WPR) is characterized by a group of socioeconomically, culturally, and geopolitically heterogenous countries and represents a microcosm of the global endemic of neurodegeneration. This review will chart the known risk factors for dementia across the WPR. We explore the intersection between the established risk factors for dementia including the biomedical and lifestyle (cardiovascular and metabolic disease, sleep, hearing loss, depression, alcohol, smoking, traumatic brain injury, genetics) and social determinants (social disadvantage, limited education, systemic racism) as well as incorporate neuroimaging data, where available, to predict disease progression in the WPR. In doing so, we highlight core risk factors for dementia in the WPR, as well as geographical epicentres at heightened risk for dementia, to orient future research towards addressing these disparities.
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Affiliation(s)
- Antonia J. Clarke
- Department of Neurosciences, Monash University, Melbourne, VIC 3004 Australia
| | - Amy Brodtmann
- Department of Neurosciences, Monash University, Melbourne, VIC 3004 Australia
| | - Muireann Irish
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050 Australia
| | - Loren Mowszowski
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050 Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Kylie Radford
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia
- The University of New South Wales, Sydney, NSW 2031 Australia
| | - Sharon L. Naismith
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050 Australia
| | | | - Matthew C. Kiernan
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050 Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Glenda M. Halliday
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050 Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW 2050 Australia
| | - Rebekah M. Ahmed
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050 Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia
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16
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Asken BM, Bove JM, Bauer RM, Tanner JA, Casaletto KB, Staffaroni AM, VandeVrede L, Alosco ML, Mez JB, Stern RA, Miller BL, Grinberg LT, Boxer AL, Gorno-Tempini ML, Rosen HJ, Rabinovici GD, Kramer JH. Clinical implications of head trauma in frontotemporal dementia and primary progressive aphasia. Alzheimers Res Ther 2024; 16:193. [PMID: 39210451 PMCID: PMC11363650 DOI: 10.1186/s13195-024-01553-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 08/11/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Traumatic brain injury (TBI) and repetitive head impacts (RHI) have been linked to increased risk for multiple types of neurodegenerative disease, higher dementia risk, and earlier age of dementia symptom onset, suggesting transdiagnostic implications for later-life brain health. Frontotemporal dementia (FTD) and primary progressive aphasia (PPA) represent a spectrum of clinical phenotypes that are neuropathologically diverse. FTD/PPA diagnoses bring unique challenges due to complex cognitive and behavioral symptoms that disproportionately present as an early-onset dementia (before age 65). We performed a detailed characterization of lifetime head trauma exposure in individuals with FTD and PPA compared to healthy controls to examine frequency of lifetime TBI and RHI and associated clinical implications. METHODS We studied 132 FTD/PPA (age 68.9 ± 8.1, 65% male) and 132 sex-matched healthy controls (HC; age 73.4 ± 7.6). We compared rates of prior TBI and RHI (contact/collision sports) between FTD/PPA and HC (chi-square, logistic regression, analysis of variance). Within FTD/PPA, we evaluated associations with age of symptom onset (analysis of variance). Within behavioral variant FTD, we evaluated associations with cognitive function and neuropsychiatric symptoms (linear regression controlling for age, sex, and years of education). RESULTS Years of participation were greater in FTD/PPA than HC for any contact/collision sport (8.5 ± 6.7yrs vs. 5.3 ± 4.5yrs, p = .008) and for American football (6.2yrs ± 4.3yrs vs. 3.1 ± 2.4yrs; p = .003). Within FTD/PPA, there were dose-dependent associations with earlier age of symptom onset for TBI (0 TBI: 62.1 ± 8.1, 1 TBI: 59.9 ± 6.9, 2 + TBI: 57.3 ± 8.4; p = .03) and years of American football (0yrs: 62.2 ± 8.7, 1-4yrs: 59.7 ± 7.0, 5 + yrs: 55.9 ± 6.3; p = .009). Within bvFTD, those who played American football had worse memory (z-score: -2.4 ± 1.2 vs. -1.4 ± 1.6, p = .02, d = 1.1). CONCLUSIONS Lifetime head trauma may represent a preventable environmental risk factor for FTD/PPA. Dose-dependent exposure to TBI or RHI influences FTD/PPA symptom onset and memory function in bvFTD. Clinico-pathological studies are needed to better understand the neuropathological correlates linking RHI or TBI to FTD/PPA onset and symptoms.
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Affiliation(s)
- Breton M Asken
- Department of Clinical and Health Psychology, University of Florida, 1Florida Alzheimer's Disease Research Center, Fixel Institute for Neurological Diseases, PO Box 100165, Gainesville, FL, 32610, USA.
| | - Jessica M Bove
- Department of Clinical and Health Psychology, University of Florida, 1Florida Alzheimer's Disease Research Center, Fixel Institute for Neurological Diseases, PO Box 100165, Gainesville, FL, 32610, USA
| | - Russell M Bauer
- Department of Clinical and Health Psychology, University of Florida, 1Florida Alzheimer's Disease Research Center, Fixel Institute for Neurological Diseases, PO Box 100165, Gainesville, FL, 32610, USA
| | - Jeremy A Tanner
- Department of Neurology, Biggs Institute for Alzheimer's and Neurodegenerative Diseases South Texas Alzheimer's Disease Research Center, University of Texas Health - San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
| | - Kaitlin B Casaletto
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Adam M Staffaroni
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Lawren VandeVrede
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Michael L Alosco
- Department of Neurology, Boston University, Boston University Alzheimer's Disease Research Center and CTE Center, 73 E. Concord Street, Boston, MA, 02118, USA
| | - Jesse B Mez
- Department of Neurology, Boston University, Boston University Alzheimer's Disease Research Center and CTE Center, 73 E. Concord Street, Boston, MA, 02118, USA
| | - Robert A Stern
- Department of Neurology, Boston University, Boston University Alzheimer's Disease Research Center and CTE Center, 73 E. Concord Street, Boston, MA, 02118, USA
| | - Bruce L Miller
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Lea T Grinberg
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Adam L Boxer
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Maria Luisa Gorno-Tempini
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Howie J Rosen
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Gil D Rabinovici
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Joel H Kramer
- Department of Neurology, Weill Institute for Neurosciences Memory and Aging Center, University of California, San Francisco, UCSF Alzheimer's Disease Research Center, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
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17
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Al-Ezzi A, Arechavala RJ, Butler R, Nolty A, Kang JJ, Shimojo S, Wu DA, Fonteh AN, Kleinman MT, Kloner RA, Arakaki X. Disrupted brain functional connectivity as early signature in cognitively healthy individuals with pathological CSF amyloid/tau. Commun Biol 2024; 7:1037. [PMID: 39179782 PMCID: PMC11344156 DOI: 10.1038/s42003-024-06673-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 08/01/2024] [Indexed: 08/26/2024] Open
Abstract
Alterations in functional connectivity (FC) have been observed in individuals with Alzheimer's disease (AD) with elevated amyloid (Aβ) and tau. However, it is not yet known whether directed FC is already influenced by Aβ and tau load in cognitively healthy (CH) individuals. A 21-channel electroencephalogram (EEG) was used from 46 CHs classified based on cerebrospinal fluid (CSF) Aβ tau ratio: pathological (CH-PAT) or normal (CH-NAT). Directed FC was estimated with Partial Directed Coherence in frontal, temporal, parietal, central, and occipital regions. We also examined the correlations between directed FC and various functional metrics, including neuropsychology, cognitive reserve, MRI volumetrics, and heart rate variability between both groups. Compared to CH-NATs, the CH-PATs showed decreased FC from the temporal regions, indicating a loss of relative functional importance of the temporal regions. In addition, frontal regions showed enhanced FC in the CH-PATs compared to CH-NATs, suggesting neural compensation for the damage caused by the pathology. Moreover, CH-PATs showed greater FC in the frontal and occipital regions than CH-NATs. Our findings provide a useful and non-invasive method for EEG-based analysis to identify alterations in brain connectivity in CHs with a pathological versus normal CSF Aβ/tau.
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Affiliation(s)
- Abdulhakim Al-Ezzi
- Department of Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, USA.
| | - Rebecca J Arechavala
- Department of Environmental and Occupational Health, Center for Occupational and Environmental Health (COEH), University of California, Irvine, CA, USA
| | - Ryan Butler
- Department of Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, USA
| | - Anne Nolty
- Fuller Theological Seminary, Pasadena, CA, USA
| | | | - Shinsuke Shimojo
- The Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Daw-An Wu
- The Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Alfred N Fonteh
- Department of Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, USA
| | - Michael T Kleinman
- Department of Environmental and Occupational Health, Center for Occupational and Environmental Health (COEH), University of California, Irvine, CA, USA
| | - Robert A Kloner
- Department of Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, USA
- Department of Cardiovascular Research, Huntington Medical Research Institutes, Pasadena, CA, USA
| | - Xianghong Arakaki
- Department of Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, USA.
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18
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Von Nordheim D, Herrick C, Verdecias N, Garg R, Kreuter MW, McQueen A. Correlates of Self-Reported Executive Function Impairment Among Medicaid Beneficiaries With Type 2 Diabetes. Diabetes Spectr 2024; 37:369-378. [PMID: 39649689 PMCID: PMC11623042 DOI: 10.2337/ds23-0067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2024]
Abstract
Aims Executive function (EF) impairment is associated with poorer outcomes for individuals with type 2 diabetes. Previous research has identified risk factors for EF impairment, but many of these are also associated with type 2 diabetes. To address this issue, this study identified relevant variables from the literature and compared their association with EF in a sample of people with type 2 diabetes. Methods Adult members of a Medicaid health plan diagnosed with type 2 diabetes were enrolled in a social needs intervention trial. Using baseline data from the trial, bivariate and multivariable regression analyses examined associations between EF and demographic, health, and psychosocial factors. Results When controlling for other factors, we identified six significant correlates of EF impairment: age (β = 0.10), education (college vs. no college; β = -0.38), depression symptoms (β = 0.18), comorbidity burden (β = 0.21), diabetes-related distress (β = 0.14), and future time orientation (β = -0.13). Conclusion Our analysis identified several factors associated with greater EF impairment, which may interfere with diabetes self-management. Providers should consider these factors when prescribing treatments and determine whether additional resources or accommodations are warranted.
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Affiliation(s)
- David Von Nordheim
- Health Communication Research Lab, Brown School of Social Work, Washington University, St. Louis, MO
| | - Cynthia Herrick
- Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St. Louis, MO
| | - Niko Verdecias
- College of Health Solutions, Arizona State University, Phoenix, AZ
| | - Rachel Garg
- Health Communication Research Lab, Brown School of Social Work, Washington University, St. Louis, MO
| | - Matthew W. Kreuter
- Health Communication Research Lab, Brown School of Social Work, Washington University, St. Louis, MO
| | - Amy McQueen
- Health Communication Research Lab, Brown School of Social Work, Washington University, St. Louis, MO
- Division of General Medical Sciences, School of Medicine, Washington University School of Medicine, St. Louis, MO
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19
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Mohanty R, Ferreira D, Westman E. Multi-pathological contributions toward atrophy patterns in the Alzheimer's disease continuum. Front Neurosci 2024; 18:1355695. [PMID: 38655107 PMCID: PMC11036869 DOI: 10.3389/fnins.2024.1355695] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/07/2024] [Indexed: 04/26/2024] Open
Abstract
Introduction Heterogeneity in downstream atrophy in Alzheimer's disease (AD) is predominantly investigated in relation to pathological hallmarks (Aβ, tau) and co-pathologies (cerebrovascular burden) independently. However, the proportional contribution of each pathology in determining atrophy pattern remains unclear. We assessed heterogeneity in atrophy using two recently conceptualized dimensions: typicality (typical AD atrophy at the center and deviant atypical atrophy on either extreme including limbic predominant to hippocampal sparing patterns) and severity (overall neurodegeneration spanning minimal atrophy to diffuse typical AD atrophy) in relation to Aβ, tau, and cerebrovascular burden. Methods We included 149 Aβ + individuals on the AD continuum (cognitively normal, prodromal AD, AD dementia) and 163 Aβ- cognitively normal individuals from the ADNI. We modeled heterogeneity in MRI-based atrophy with continuous-scales of typicality (ratio of hippocampus to cortical volume) and severity (total gray matter volume). Partial correlation models investigated the association of typicality/severity with (a) Aβ (global Aβ PET centiloid), tau (global tau PET SUVR), cerebrovascular (total white matter hypointensity volume) burden (b) four cognitive domains (memory, executive function, language, visuospatial composites). Using multiple regression, we assessed the association of each pathological burden and typicality/severity with cognition. Results (a) In the AD continuum, typicality (r = -0.31, p < 0.001) and severity (r = -0.37, p < 0.001) were associated with tau burden after controlling for Aβ, cerebrovascular burden and age. Findings imply greater tau pathology in limbic predominant atrophy and diffuse atrophy. (b) Typicality was associated with memory (r = 0.49, p < 0.001) and language scores (r = 0.19, p = 0.02). Severity was associated with memory (r = 0.26, p < 0.001), executive function (r = 0.24, p = 0.003) and language scores (r = 0.29, p < 0.001). Findings imply better cognitive performance in hippocampal sparing and minimal atrophy patterns. Beyond typicality/severity, tau burden but not Aβ and cerebrovascular burden explained cognition. Conclusion In the AD continuum, atrophy-based severity was more strongly associated with tau burden than typicality after accounting for Aβ and cerebrovascular burden. Cognitive performance in memory, executive function and language domains was explained by typicality and/or severity and additionally tau pathology. Typicality and severity may differentially reflect burden arising from tau pathology but not Aβ or cerebrovascular pathologies which need to be accounted for when investigating AD heterogeneity.
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Affiliation(s)
- Rosaleena Mohanty
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Karolinska Institutet, Huddinge, Sweden
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Karolinska Institutet, Huddinge, Sweden
- Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias, Las Palmas, Spain
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Karolinska Institutet, Huddinge, Sweden
- Department of Neuroimaging, Center for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, United Kingdom
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20
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Costa MR. Switch of innate to adaptative immune responses in the brain of patients with Alzheimer's disease correlates with tauopathy progression. NPJ AGING 2024; 10:19. [PMID: 38499592 PMCID: PMC10948755 DOI: 10.1038/s41514-024-00145-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 03/05/2024] [Indexed: 03/20/2024]
Abstract
Neuroinflammation is a key feature of Alzheimer's disease (AD). In this work, analysis of single- cell RNA-sequencing (scRNA-seq) data obtained from the brain of patients with AD provides evidence supporting a switch from an innate to an adaptative immune response during tauopathy progression, with both disease-associated microglia (DAM) and CD8+ T cells becoming more frequent at advanced Braak stages.
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Affiliation(s)
- Marcos R Costa
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risqué et déterminants moléculaires des maladies liées au vieillissement, DISTALZ, 1 rue du Professeur Calmette, 59019, Lille, France.
- Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil.
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21
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Kim SK, Kim H, Kim SH, Kim JB, Kim L. Electroencephalography-based classification of Alzheimer's disease spectrum during computer-based cognitive testing. Sci Rep 2024; 14:5252. [PMID: 38438453 PMCID: PMC10912091 DOI: 10.1038/s41598-024-55656-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 02/26/2024] [Indexed: 03/06/2024] Open
Abstract
Alzheimer's disease (AD) is a progressive disease leading to cognitive decline, and to prevent it, researchers seek to diagnose mild cognitive impairment (MCI) early. Particularly, non-amnestic MCI (naMCI) is often mistaken for normal aging as the representative symptom of AD, memory decline, is absent. Subjective cognitive decline (SCD), an intermediate step between normal aging and MCI, is crucial for prediction or early detection of MCI, which determines the presence of AD spectrum pathology. We developed a computer-based cognitive task to classify the presence or absence of AD pathology and stage within the AD spectrum, and attempted to perform multi-stage classification through electroencephalography (EEG) during resting and memory encoding state. The resting and memory-encoding states of 58 patients (20 with SCD, 10 with naMCI, 18 with aMCI, and 10 with AD) were measured and classified into four groups. We extracted features that could reflect the phase, spectral, and temporal characteristics of the resting and memory-encoding states. For the classification, we compared nine machine learning models and three deep learning models using Leave-one-subject-out strategy. Significant correlations were found between the existing neurophysiological test scores and performance of our computer-based cognitive task for all cognitive domains. In all models used, the memory-encoding states realized a higher classification performance than resting states. The best model for the 4-class classification was cKNN. The highest accuracy using resting state data was 67.24%, while it was 93.10% using memory encoding state data. This study involving participants with SCD, naMCI, aMCI, and AD focused on early Alzheimer's diagnosis. The research used EEG data during resting and memory encoding states to classify these groups, demonstrating the significance of cognitive process-related brain waves for diagnosis. The computer-based cognitive task introduced in the study offers a time-efficient alternative to traditional neuropsychological tests, showing a strong correlation with their results and serving as a valuable tool to assess cognitive impairment with reduced bias.
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Affiliation(s)
- Seul-Kee Kim
- Bionics Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Hayom Kim
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Sang Hee Kim
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Jung Bin Kim
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
| | - Laehyun Kim
- Bionics Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea.
- Department of HY-KIST Bio-Convergence, Hanyang University, Seoul, Republic of Korea.
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22
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Alosco ML, Adler CH, Dodick DW, Tripodis Y, Balcer LJ, Bernick C, Banks SJ, Barr WB, Wethe JV, Palmisano JN, Martin B, Hartlage K, Cantu RC, Geda YE, Katz DI, Mez J, Cummings JL, Shenton ME, Reiman EM, Stern RA. Examination of parkinsonism in former elite American football players. Parkinsonism Relat Disord 2024; 120:105903. [PMID: 37981539 PMCID: PMC10922636 DOI: 10.1016/j.parkreldis.2023.105903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/20/2023] [Accepted: 10/21/2023] [Indexed: 11/21/2023]
Abstract
BACKGROUND Former American football players are at risk for chronic traumatic encephalopathy (CTE) which may have parkinsonism as a clinical feature. OBJECTIVE Former football players were prospectively assessed for parkinsonism. METHODS 120 former professional football players, 58 former college football players, and 60 same-age asymptomatic men without repetitive head impacts, 45-74 years, were studied using the MDS-UPDRS to assess for parkinsonism, and the Timed Up and Go (TUG). Traumatic encephalopathy syndrome (TES), the clinical syndrome of CTE, was adjudicated and includes parkinsonism diagnosis. Fisher's Exact Test compared groups on parkinsonism due to small cell sizes; analysis of covariance or linear regressions controlling for age and body mass index were used otherwise. RESULTS Twenty-two (12.4%) football players (13.3% professional, 10.3% college) met parkinsonism criteria compared with two (3.3%) in the unexposed group. Parkinsonism was higher in professional (p = 0.037) but not college players (p = 0.16). There were no differences on the MDS-UPDRS Part III total scores. Scores on the individual MDS-UPDRS items were low. TUG times were longer in former professional but not college players compared with unexposed men (13.09 versus 11.35 s, p < 0.01). There were no associations between years of football, age of first exposure, position or level of play on motor outcomes. TES status was not associated with motor outcomes. CONCLUSIONS Parkinsonism rates in this sample of football players was low and highest in the professional football players. The association between football and parkinsonism is inconclusive and depends on factors related to sample selection, comparison groups, and exposure characteristics.
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Affiliation(s)
- Michael L Alosco
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Charles H Adler
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA.
| | - David W Dodick
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Laura J Balcer
- Departments of Neurology, Population Health and Ophthalmology, NYU Grossman School of Medicine, New York, NY, USA
| | - Charles Bernick
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Sarah J Banks
- Departments of Neuroscience and Psychiatry, University of California, San Diego, CA, USA
| | - William B Barr
- Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA
| | - Jennifer V Wethe
- Department of Psychiatry and Psychology, Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Joseph N Palmisano
- Biostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, MA, USA
| | - Brett Martin
- Biostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, MA, USA
| | - Kaitlin Hartlage
- Biostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, MA, USA
| | - Robert C Cantu
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | | | - Douglas I Katz
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Framingham Heart Study, Framingham, MA, USA
| | - Jeffery L Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, And Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Eric M Reiman
- Banner Alzheimer's Institute, University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Robert A Stern
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian, Boston, MA, USA
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23
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Liu J, Guan J, Xiong J, Wang F. Effects of Transcranial Magnetic Stimulation Combined with Sertraline on Cognitive Level, Inflammatory Response and Neurological Function in Depressive Disorder Patients with Non-suicidal Self-injury Behavior. ACTAS ESPANOLAS DE PSIQUIATRIA 2024; 52:28-36. [PMID: 38454900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
BACKGROUND Depressive disorder is a chronic mental illness characterized by persistent low mood as its primary clinical symptom. Currently, psychotherapy and drug therapy stand as the primary treatment modalities in clinical practice, offering a certain degree of relief from negative emotions for patients. Nevertheless, sole reliance on drug therapy exhibits a delayed impact on neurotransmitters, and long-term usage often results in adverse side effects such as nausea, drowsiness, and constipation, significantly impeding medication adherence. This study aims to investigate the impact of combining transcranial magnetic stimulation with sertraline on the cognitive level, inflammatory response, and neurological function in patients with depressive disorder who engage in non-suicidal self-injury (NSSI) behavior. METHODS A total of 130 depressive patients NSSI behavior, who were admitted to our hospital from December 2020 to February 2023, were selected as the subjects for this research. The single-group (65 cases) received treatment with oral sertraline hydrochloride tablets, while the combination group (65 cases) underwent repetitive transcranial magnetic stimulation (rTMS) in conjunction with sertraline. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was utilized to assess the depression status and cognitive function levels of both groups. Additionally, the enzyme-linked immunosorbent assay (ELISA) was employed to measure serum levels of inflammatory factors, including tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6). Furthermore, serum levels of neurotransmitters (norepinephrine (NE), dopamine (DA), 5-hydroxytryptamine (5-HT)) and neuro-cytokines (brain-derived neurotrophic factor (BDNF), nerve growth factor (NGF), glial fibrillary acidic protein (GFAP)) were assessed. The clinical effects of the interventions on both groups were then evaluated. RESULTS Following the treatment, the combination group exhibited significantly higher levels of immediate memory, delayed memory, attention, visual function, and language function compared to the single group, with statistically significant differences (p < 0.05). Additionally, the serum levels of TNF-α, IL-1β, IL-6, and GFAP in the combination group were lower than those in the single group, while the levels of BDNF and NGF were higher in the combination group compared to the single group. These differences were also statistically significant (p < 0.05). Simultaneously, the total clinical effective rate in the combination group reached 95.38%, surpassing the 84.61% observed in the single group, and the disparity between the two groups was statistically significant (p < 0.05). CONCLUSIONS The combined use of rTMS and sertraline in treating patients with depressive disorder exhibiting NSSI behavior has proven to be effective in enhancing cognitive function, mitigating inflammatory responses, and elevating levels of neurotransmitters and nerve cytokines in the patients.
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Affiliation(s)
- Jun Liu
- Psychosomatic Ward, Wuhan Mental Health Center, Wuhan Hospital for Psychotherapy, 430000 Wuhan, Hubei, China
| | - Juan Guan
- Early Intervention Ward 1, Wuhan Mental Health Centre, Wuhan Hospital for Psychotherapy, 430000 Wuhan, Hubei, China
| | - Jie Xiong
- Psychosomatic Ward, Wuhan Mental Health Center, Wuhan Hospital for Psychotherapy, 430000 Wuhan, Hubei, China
| | - Fang Wang
- Psychosomatic Ward, Wuhan Mental Health Center, Wuhan Hospital for Psychotherapy, 430000 Wuhan, Hubei, China
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24
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Braunecker BJ, Groh JR, Adler CH, Alosco ML, Dodick DW, Tripodis Y, Balcer LJ, Bernick C, Banks SJ, Barr WB, Wethe JV, Palmisano JN, Martin B, Hartlage K, Cantu RC, Geda YE, Katz DI, Mez J, Cummings JL, Shenton ME, Reiman EM, Stern RA. Olfactory function is reduced in a subset of former elite American football players with traumatic encephalopathy syndrome. Chem Senses 2024; 49:bjae043. [PMID: 39657828 DOI: 10.1093/chemse/bjae043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2024] [Indexed: 12/12/2024] Open
Abstract
Former American football players are at risk for developing traumatic encephalopathy syndrome (TES), the clinical disorder associated with neuropathologically diagnosed chronic traumatic encephalopathy (CTE). The objective of this study was to determine whether hyposmia is present in traumatic encephalopathy syndrome. The study included 119 former professional American football players, 60 former college football players, and 58 same-age asymptomatic unexposed men from the DIAGNOSE CTE Research Project. All subjects included in the analysis had completed the Brief Smell Identification Test (B-SIT). Traumatic encephalopathy syndrome and the level of CTE certainty were diagnosed using the 2021 NINDS consensus diagnostic criteria. TES is categorized antemortem by provisional levels of increasing CTE certainty: Suggestive, Possible, and Probable. Former players who had traumatic encephalopathy syndrome and Probable CTE had lower B-SIT scores than those with TES and Suggestive CTE. Hyposmia was more likely in the former players with TES who were either CTE Possible or Probable than in those who did not have TES or had TES but were less likely to have CTE, or CTE Suggestive. There was no difference in B-SIT scores between all former players versus unexposed men nor overall between the football players with and without TES. We conclude that lower B-SIT scores may be a clinical biomarker for underlying CTE in former American football players.
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Affiliation(s)
- Ben J Braunecker
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, United States
| | - Jenna R Groh
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Charles H Adler
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, United States
| | - Michael L Alosco
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - David W Dodick
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, United States
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | - Laura J Balcer
- Department of Neurology, Population Health and Ophthalmology, NYU Grossman School of Medicine, New York, NY, United States
| | - Charles Bernick
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States
| | - Sarah J Banks
- Departments of Neuroscience and Psychiatry, University of California, San Diego, CA, United States
| | - William B Barr
- Department of Neurology, NYU Grossman School of Medicine, New York, NY, United States
| | - Jennifer V Wethe
- Department of Psychiatry and Psychology, Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, United States
| | - Joseph N Palmisano
- Biostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, MA, United States
| | - Brett Martin
- Biostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, MA, United States
| | - Kaitlin Hartlage
- Biostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, MA, United States
| | - Robert C Cantu
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Yonas E Geda
- Department of Neurology and the Franke Neuroscience Education Center, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Douglas I Katz
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Jesse Mez
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
- Framingham Heart Study, Framingham, MA, United States
| | - Jeffery L Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV, United States
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Department of Radiology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Eric M Reiman
- Banner Alzheimer's Institute, University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix, AZ, United States
| | - Robert A Stern
- Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
- Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian, Boston, MA, United States
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25
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Corrubia L, Huang A, Nguyen S, Shiflett MW, Jones MV, Ewell LA, Santhakumar V. Early deficits in dentate circuit and behavioral pattern separation after concussive brain injury. Exp Neurol 2023; 370:114578. [PMID: 37858696 PMCID: PMC10712990 DOI: 10.1016/j.expneurol.2023.114578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/28/2023] [Accepted: 10/16/2023] [Indexed: 10/21/2023]
Abstract
Traumatic brain injury leads to cellular and circuit changes in the dentate gyrus, a gateway to hippocampal information processing. Intrinsic granule cell firing properties and strong feedback inhibition in the dentate are proposed as critical to its ability to generate unique representation of similar inputs by a process known as pattern separation. Here we evaluate the impact of brain injury on cellular decorrelation of temporally patterned inputs in slices and behavioral discrimination of spatial locations in vivo one week after concussive lateral fluid percussion injury (FPI) in mice. Despite posttraumatic increases in perforant path evoked excitatory drive to granule cells and enhanced ΔFosB labeling, indicating sustained increase in excitability, the reliability of granule cell spiking was not compromised after FPI. Although granule cells continued to effectively decorrelate output spike trains recorded in response to similar temporally patterned input sets after FPI, their ability to decorrelate highly similar input patterns was reduced. In parallel, encoding of similar spatial locations in a novel object location task that involves the dentate inhibitory circuits was impaired one week after FPI. Injury induced changes in pattern separation were accompanied by loss of somatostatin expressing inhibitory neurons in the hilus. Together, these data suggest that the early posttraumatic changes in the dentate circuit undermine dentate circuit decorrelation of temporal input patterns as well as behavioral discrimination of similar spatial locations, both of which could contribute to deficits in episodic memory.
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Affiliation(s)
- Lucas Corrubia
- Department of Pharmacology, Physiology and Neuroscience, Rutgers New Jersey Medical School, Newark, NJ 07103, USA; Department of Molecular, Cell and Systems Biology, University of California Riverside, Riverside, CA 92521, USA
| | - Andrew Huang
- Department of Molecular, Cell and Systems Biology, University of California Riverside, Riverside, CA 92521, USA
| | - Susan Nguyen
- Department of Molecular, Cell and Systems Biology, University of California Riverside, Riverside, CA 92521, USA
| | | | - Mathew V Jones
- Department of Neuroscience, University of Wisconsin, Madison, WI 53705, USA
| | - Laura A Ewell
- Department of Anatomy and Neurobiology, University of California Irvine, Irvine, CA 92697, USA
| | - Vijayalakshmi Santhakumar
- Department of Pharmacology, Physiology and Neuroscience, Rutgers New Jersey Medical School, Newark, NJ 07103, USA; Department of Molecular, Cell and Systems Biology, University of California Riverside, Riverside, CA 92521, USA.
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Rustamzadeh A, Sadigh N, Shabani R, Ahadi R, Vahabi Z, Shabani A, Mohebi N, Khamseh F, Behruzi M, Moradi F. Neurochemical Ameliorating of the Hippocampus in Dyslipidemic Alzheimer Patients Following Silymarin; a Double-Blind Placebo-Controlled Randomized Clinical Trial. Med J Islam Repub Iran 2023; 37:123. [PMID: 38318412 PMCID: PMC10843210 DOI: 10.47176/mjiri.37.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Indexed: 02/07/2024] Open
Abstract
Background Amyloid-beta (Aβ) production is a normal physiological process, and an imbalance in Aβ production/excretion rate is the basis of the plaque load increase in AD. LRP1 is involved in both central clearance of Aβ from the CNS and transport of Aβ toward peripheral organs. In this study, the effect of silymarin combination compared to rosuvastatin and placebo on neuro-metabolites and serum levels of LRP1 and Aβ1-42 proteins and oxidative stress enzymes and lipid and cognitive tests of Iranian AD patients. Methods In this double-blind placebo-controlled study, thirty-six mild AD patients were divided into groups (n=12) of silymarin 140mg, placebo, and rosuvastatin 10mg. Medications were administered 3 times a day for 6 months. Clinical tests, lipid profile (TG, HDL, TC, and LDL), Aβ1-42, and LRP1 markers were measured at the beginning and end of the intervention. Magnetic resonance spectroscopy (MRS) was used to measure metabolites. Using SPSS software a one-way ANOVA test was used to compare the means of the quantitative variables and Pearson and Spearman's correlations to measure the correlation. GraphPad Prism software was used for drawing graphs. P < 0.05 was considered a significant. Results The levels of LRP1 and Aβ1-42 in the silymarin group were significantly increased compared to the other groups (P < 0.05). NAA/mI in the silymarin group had a significant increase compared to both placebo and rosuvastatin groups (P < 0.05). Right and left hippocampal mI/Cr directly correlated with TG (r = 0.603, P = 0.003 and r = 0.595, P = 0.004, respectively). NAA/Cr of the right and left hippocampus was inversely related to TG (r = -0.511, P = 0.0033, and r = -0.532, P = 0.0021, respectively). NAA/Cr and NAA/mI of bilateral hippocampi directly correlated with HDL (P < 0.05). An inverse correlation was observed between the Aβ1-42 and mI/Cr of the right and left hippocampus (r = -0.661, P = 0.000 and r = -0.638, P = 0.000, respectively). Conclusion Donepezil and silymarin improved lipid profile associated with increased NAA/Cr, and decreased mI/Cr, in AD patients. Biomarker NAA/mI can be clinically significant in examining AD pathology. Measurement of the lipid factors and neurometabolites can be a suitable method for monitoring this disease.
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Affiliation(s)
- Auob Rustamzadeh
- Department of Anatomy, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Nader Sadigh
- Department of Emergency Medicine, School of Medicine, Trauma and Injury Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Ronak Shabani
- Department of Anatomy, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Reza Ahadi
- Department of Anatomy, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Zahra Vahabi
- Department of Geriatric Medicine, Ziaeian Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Arash Shabani
- Saadatabad Medical Imaging Center, Department of Advanced Imaging and Image Processing, Tehran, Iran
| | - Nafiseh Mohebi
- Department of Neurology, Rasool Akram Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Khamseh
- Department of Neurology, Faculty of Medicine, Islamic Azad University, Tehran, Iran
| | - Masume Behruzi
- Department of Anatomy, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Moradi
- Department of Anatomy, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
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Rasi R, Guvenis A. A Platform for the Radiomic Analysis of Brain FDG PET Images: Detecting Alzheimer’s Disease. LECTURE NOTES IN COMPUTER SCIENCE 2023:244-255. [DOI: 10.1007/978-3-031-34953-9_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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