JOURNAL ARTICLE

B - 55 Diffusion Tensor Imaging Analysis of Former American Football Players Exposed to Repetitive Head Impacts.

  • Published In: Archives of Clinical Neuropsychology, 2024, v. 39, n. 7. P. 1148 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wickham, Alana; Adler, Charles; Alosco, Michael; Arciniega, Hector; Balcer, Laura; Bernick, Charles; Bouix, Sylvain; Cummings, Jeffrey; Koerte, Inga; Lin, Alexander; Reiman, Eric; Shenton, Martha; Stern, Robert; Breedlove, Katherine; Carrington, Holly; Coleman, Michael; Daneshvar, Daniel; John, Omar; Jung, Leonard; Kim, Nicholas 3 of 3

Abstract

This article focuses on a diffusion tensor imaging (DTI) study examining white matter alterations in former American football players exposed to repetitive head impacts (RHI). Using data from 166 players in the DIAGNOSE CTE Research Project, the study assessed whole-brain Fractional Anisotropy (FA) and Free Water-corrected FA (FAt) to evaluate white matter integrity in relation to age, age of first football exposure, and cumulative head impact index (CHII) scores. Results showed that both FA and FAt decreased with increasing age and earlier age of first exposure, while FAt also declined with higher CHII measures of linear acceleration and rotational forces. These findings suggest that prolonged and intense exposure to RHI is associated with late-life declines in white matter microstructure.

Additional Information

  • Source:Archives of Clinical Neuropsychology. 2024/10, Vol. 39, Issue 7, p1148
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:0887-6177
  • DOI:10.1093/arclin/acae067.216
  • Accession Number:184163507
  • Copyright Statement:Copyright of Archives of Clinical Neuropsychology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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