ArticleAJNR. American journal of neuroradiology2019
Assessing Postconcussive Reaction Time Using Transport-Based Morphometry of Diffusion Tensor Images.
Article in AJNR. American journal of neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The second decade of DTI in TBI part 1: a systematic review of mild TBI.Frontiers in neurologyPooled it
- Discovering the gene-brain-behavior link in autism via generative machine learning.Science advances · 2024Article
- Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Machine intelligence in healthcare-perspectives on trustworthiness, explainability, usability, and transparency.NPJ digital medicine · 2020Article
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5 authors.
Funding
Abstract
background and purposeCognitive 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
methodsIn 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.
resultsThe direction in the transport space most correlated with reaction time was significant after correcting for covariates of age, sex, and time from injury (Pearson
conclusionsTransport-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.
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