Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury
Cailey I. Kerley, Leon Y. Cai, Chang Yu, Logan M. Crawford, Jason M., Elenberger, Eden S. Singh, Kurt G. Schilling, Katherine S. Aboud, Bennett A., Landman, Tonia S. Rex

TL;DR
This study explores the relationship between structural brain connectivity, cortical surface features, and chronic symptoms in mTBI patients using advanced multivariate analysis techniques.
Contribution
It introduces a joint ICA approach to analyze combined structural connectivity and cortical surface data in mTBI, revealing stable components linked to the condition.
Findings
Identified a stable independent component differentiating mTBI from controls.
Found significant correlations between surface features and specific mTBI symptoms.
Observed increased bilateral cortical thickness associated with mTBI.
Abstract
Mild traumatic brain injury (mTBI) is a complex syndrome that affects up to 600 per 100,000 individuals, with a particular concentration among military personnel. About half of all mTBI patients experience a diverse array of chronic symptoms which persist long after the acute injury. Hence, there is an urgent need for better understanding of the white matter and gray matter pathologies associated with mTBI to map which specific brain systems are impacted and identify courses of intervention. Previous works have linked mTBI to disruptions in white matter pathways and cortical surface abnormalities. Herein, we examine these hypothesized links in an exploratory study of joint structural connectivity and cortical surface changes associated with mTBI and its chronic symptoms. Briefly, we consider a cohort of 12 mTBI and 26 control subjects. A set of 588 cortical surface metrics and 4,753…
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Taxonomy
MethodsDiffusion · Principal Components Analysis · Independent Component Analysis
