Assessing Postconcussive Reaction Time Using Transport-Based Morphometry of Diffusion Tensor Images.
Adolescent
Adult
Brain Concussion
/ complications
Child
Cognitive Dysfunction
/ diagnostic imaging
Diffusion Tensor Imaging
/ methods
Female
Humans
Imaging, Three-Dimensional
/ methods
Male
Neuroimaging
/ methods
Post-Concussion Syndrome
/ diagnostic imaging
Reaction Time
/ physiology
Retrospective Studies
White Matter
/ injuries
Young Adult
Journal
AJNR. American journal of neuroradiology
ISSN: 1936-959X
Titre abrégé: AJNR Am J Neuroradiol
Pays: United States
ID NLM: 8003708
Informations de publication
Date de publication:
07 2019
07 2019
Historique:
received:
26
12
2018
accepted:
27
04
2019
pubmed:
15
6
2019
medline:
23
4
2020
entrez:
15
6
2019
Statut:
ppublish
Résumé
Cognitive deficits are among the most commonly reported post-concussive symptoms, yet the underlying microstructural injury is poorly understood. Our aim was to discover white matter injury underlying reaction time in mild traumatic brain injury DTI by applying transport-based morphometry. In this retrospective study, we performed DTI on 64 postconcussive patients (10-28 years of age; 69% male, 31% female) between January 2006 and March 2013. We measured the reaction time percentile by using Immediate Post-Concussion Assessment and Cognitive Testing. Using the 3D transport-based morphometry technique we developed, we mined fractional anisotropy maps to extract the common microstructural injury associated with reaction time percentile in an automated manner. Permutation testing established statistical significance of the extracted injuries. We visualized the physical substrate responsible for reaction time through inverse transport-based morphometry transformation. The direction in the transport space most correlated with reaction time was significant after correcting for covariates of age, sex, and time from injury (Pearson Transport-based morphometry discovers complex white matter injury underlying postconcussive reaction time in an automated manner. The potential influences of edema and axonal loss are visualized in the visual-spatial interpretation and response-selection pathways. Transport-based morphometry can bridge the gap between brain microstructure and function in diseases in which the structural basis is unknown.
Sections du résumé
BACKGROUND AND PURPOSE
Cognitive deficits are among the most commonly reported post-concussive symptoms, yet the underlying microstructural injury is poorly understood. Our aim was to discover white matter injury underlying reaction time in mild traumatic brain injury DTI by applying transport-based morphometry.
MATERIALS AND METHODS
In this retrospective study, we performed DTI on 64 postconcussive patients (10-28 years of age; 69% male, 31% female) between January 2006 and March 2013. We measured the reaction time percentile by using Immediate Post-Concussion Assessment and Cognitive Testing. Using the 3D transport-based morphometry technique we developed, we mined fractional anisotropy maps to extract the common microstructural injury associated with reaction time percentile in an automated manner. Permutation testing established statistical significance of the extracted injuries. We visualized the physical substrate responsible for reaction time through inverse transport-based morphometry transformation.
RESULTS
The direction in the transport space most correlated with reaction time was significant after correcting for covariates of age, sex, and time from injury (Pearson
CONCLUSIONS
Transport-based morphometry discovers complex white matter injury underlying postconcussive reaction time in an automated manner. The potential influences of edema and axonal loss are visualized in the visual-spatial interpretation and response-selection pathways. Transport-based morphometry can bridge the gap between brain microstructure and function in diseases in which the structural basis is unknown.
Identifiants
pubmed: 31196860
pii: ajnr.A6087
doi: 10.3174/ajnr.A6087
pmc: PMC7048545
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
1117-1123Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM090033
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM130825
Pays : United States
Informations de copyright
© 2019 by American Journal of Neuroradiology.
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