Variable clustering reveals associations between subcortical brain volume and cognitive changes in pediatric traumatic brain injury

Artemis Zavaliangos-Petropulu; Emily L. Dennis; Greg Ver Steeg; Talin Babikian; Richard Mink; Christopher Babbitt; Jeffrey Johnson; Christopher C. Giza; Robert F. Asarnow; Paul M. Thompson

doi:10.1117/12.2256977

26 January 2017 Variable clustering reveals associations between subcortical brain volume and cognitive changes in pediatric traumatic brain injury

Artemis Zavaliangos-Petropulu, Emily L. Dennis, Greg Ver Steeg, Talin Babikian, Richard Mink, Christopher Babbitt, Jeffrey Johnson, Christopher C. Giza, Robert F. Asarnow, Paul M. Thompson

Author Affiliations +

Proceedings Volume 10160, 12th International Symposium on Medical Information Processing and Analysis; 101600V (2017) https://doi.org/10.1117/12.2256977
Event: 12th International Symposium on Medical Information Processing and Analysis, 2016, Tandil, Argentina

Abstract

Outcomes after traumatic brain injury (TBI) are variable and only partially predicted by acute injury factors. With rich datasets, we can examine how numerous factors – cognitive scores, acute injury variables, demographic variables, and brain imaging variables – are interrelated and aid in outcome prediction. To help study this rich data, we applied CorEx, a novel method for unsupervised machine learning. CorEx decodes the hierarchical structure, identifying latent causes of dependence in the data. It groups predictor variables based on their joint information and inter-dependence. We examined 21 TBI patients 2-5 months post-injury along with healthy controls; both groups were assessed again 12 months later. Although we were limited in the number of participants, this tool for exploratory analysis found potential relationships between change in cognitive scores over the 12-month period and baseline brain volumes. Certain regional brain volumes measured post-injury could serve as predictors of patient recovery. As future planned analyses will examine greater sample sizes, we hope to perform follow-up statistical analysis of variables identified by CorEx in independent data.

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Artemis Zavaliangos-Petropulu, Emily L. Dennis, Greg Ver Steeg, Talin Babikian, Richard Mink, Christopher Babbitt, Jeffrey Johnson, Christopher C. Giza, Robert F. Asarnow, and Paul M. Thompson "Variable clustering reveals associations between subcortical brain volume and cognitive changes in pediatric traumatic brain injury", Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 101600V (26 January 2017); https://doi.org/10.1117/12.2256977

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