Journal article
Accelerated Aging after Traumatic Brain Injury: An ENIGMA Multi-Cohort Mega-Analysis
Annals of Neurology, Vol.96(2), pp.365-377
2024
PMCID: PMC13431743
PMID: 38845484
Abstract
Objective:
The long-term consequences of traumatic brain injury (TBI) on brain structure remain uncertain. Given evidence that a single significant brain injury event increases the risk of dementia, brain-age estimation could provide a novel and efficient indexing of the long-term consequences of TBI. Brain-age procedures use predictive modeling to calculate brain-age scores for an individual using structural magnetic resonance imaging (MRI) data. Complicated mild, moderate, and severe TBI (cmsTBI) is associated with a higher predicted age difference (PAD), but the progression of PAD over time remains unclear. We sought to examine whether PAD increases as a function of time since injury (TSI) and if injury severity and sex interacted to influence this progression.
Methods:
Through the ENIGMA Adult Moderate and Severe (AMS)-TBI working group, we examine the largest TBI sample to date (n = 343), along with controls, for a total sample size of n = 540, to replicate and extend prior findings in the study of TBI brain age. Cross-sectional T1w-MRI data were aggregated across 7 cohorts, and brain age was established using a similar brain age algorithm to prior work in TBI.
Results:
Findings show that PAD widens with longer TSI, and there was evidence for differences between sexes in PAD, with men showing more advanced brain age. We did not find strong evidence supporting a link between PAD and cognitive performance.
Interpretation:
This work provides evidence that changes in brain structure after cmsTBI are dynamic, with an initial period of change, followed by relative stability in brain morphometry, eventually leading to further changes in the decades after a single cmsTBI.
Details
- Title
- Accelerated Aging after Traumatic Brain Injury: An ENIGMA Multi-Cohort Mega-Analysis
- Authors
- Emily L. Dennis - University of UtahSamantha Vervoordt - Pennsylvania State UniversityMaheen M. Adamson - VA Palo Alto Health Care SystemAmiri Houshang - Kerman University of Medical SciencesErin D. Bigler - University of UtahKaren Caeyenberghs - Deakin UniversityJames H. Cole - University College LondonKristen Dams-O'Connor - Icahn School of Medicine at Mount SinaiEvelyn M. Deutscher - Deakin UniversityEkaterina Dobryakova - Kessler FoundationHelen M. Genova - Rutgers HealthJordan H. Grafman - Shirley Ryan AbilityLabAsta K Håberg - Norwegian University of Science and TechnologyTorgeir Hellstrom - Oslo University HospitalAndrei Irimia - Oslo University HospitalVassilis E. Koliatsos - University of Southern CaliforniaHannah Lindsey - University of UtahAbigail Livny - Sheba Medical CenterDavid K. Menon - University of CambridgeTricia L. Merkley - University of UtahAbdalla Z. Mohamed - University of the Sunshine Coast, Queensland, Thompson InstituteStefania Mondello - University of MessinaMartin M. Monti - University of California, Los AngelesVirginia F. J. Newcombe - University of CambridgeMary R. Newsome - University of UtahJennie Ponsford - Monash UniversityAmanda Rabinowitz - Moss Rehabilitation HospitalHanne Smevik - Norwegian University of Science and TechnologyGershon Spitz - Monash UniversityUmesh M. Venkatesan - Moss Rehabilitation HospitalLars T. Westlye - University of OsloRoss Zafonte - Massachusetts General HospitalPaul M. Thompson - University of Southern CaliforniaElisabeth A. Wilde - University of UtahAlexander Olsen - Norwegian University of Science and TechnologyFrank G. Hillary (Corresponding Author) - Pennsylvania State University
- Publication details
- Annals of Neurology, Vol.96(2), pp.365-377
- Publisher
- John Wiley & Sons, Inc.
- Date published
- 2024
- DOI
- 10.1002/ana.26952
- ISSN
- 1531-8249
- PMID
- 38845484; PMC13431743
- Copyright note
- © 2024 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
- Data Availability
- Data are available to researchers who join the working group and submit a secondary analysis proposal to the group for approval, which is granted on a cohortby- cohort level. Interested researchers should contact the corresponding authors.
- Organisation Unit
- Thompson Institute
- Language
- English
- Record Identifier
- 991043459902621
- Output Type
- Journal article
Metrics
2 File views/ downloads
41 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Clinical Neurology
- Neurosciences
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: SDGs from InCites