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A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion

A Multi-Modal Approach to Assessing Recovery in Youth Athletes Following Concussion

Published on: September 25, 2014

Multi-tract multi-symptom relationships in pediatric concussion.

Guido I Guberman¹, Sonja Stojanovski^2,3, Eman Nishat^2,3

¹Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Canada.

|May 17, 2022

Summary

Concussion symptoms and brain damage vary greatly, but new research uses diffusion MRI to link specific symptom patterns to white matter changes. This approach reveals subtypes of concussion, moving beyond simple one-to-one symptom-connectivity links.

Keywords:

diffusion MRI human medicine multivariate statistics neuroscience pediatric concussions

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Published on: February 7, 2025

Area of Science:

Neuroimaging
Neuroscience
Medical Research

Background:

Concussion research faces challenges due to varied white matter damage and symptoms.
Traditional diffusion MRI (dMRI) studies often average out individual differences.
A novel approach is needed to understand concussion heterogeneity.

Purpose of the Study:

To leverage concussion heterogeneity by combining dMRI and multivariate statistics.
To characterize multi-tract, multi-symptom relationships in children with concussion.
To identify distinct subtypes of symptom-connectivity relationships.

Main Methods:

Utilized cross-sectional data from 306 children (aged 9-10) from the Adolescent Brain Cognitive Development Study.
Constructed connectomes weighted by diffusion measures representing microstructural complexity and axonal density.
Employed pattern-learning algorithms to analyze relationships between connectivity features and 19 symptom measures.

Main Results:

Identified multi-tract, multi-symptom pairs explaining significant covariance, linking broad and specific symptom categories to white matter networks.
Found that symptom representation was not consistently tied to tract representation across pairs.
Observed that sleep problems were implicated across most pairs but related to different connections, and feature expression was independent of sociodemographics and ADHD status.

Conclusions:

A double-multivariate approach identified clinically relevant, cross-demographic multi-tract, multi-symptom relationships.
Concussions may be characterized by subtypes of symptom/connectivity relationships, not just one-to-one disturbances.
Future research should account for multi-tract, multi-symptom heterogeneity to better understand connectivity-symptom relationships.