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Abstract #0048

Connectivity Domain Analysis of Mild Traumatic Brain Injury: A Multi-center Study to Extract Robust Imaging Biomarkers

Armin Iraji1, Jiachen Zhuo2, Natalie M. Wiseman3, Ali-Reza Mohammadi-Nejad4, Rao Gullapalli2, Zhifeng Kou1,5, and E. Mark Haacke1,5

1Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States, 2Diagnostic Radiology and Nuclear Medicine, University of Maryland, 3Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, United States, 4Henry Ford Health System, 5Department of Radiology, Wayne State University

Identification of biomarkers for mild traumatic brain injury (mTBI) diagnosis and outcome prediction is challenging due to the heterogeneity of mTBI patients. Multi-center studies help to alleviate this, but functional MRI data can be difficult to combine across sites. Here, we applied our recent connectivity domain (CD) framework and indentified predictive features of mTBI diagnosis and one-month outcome. Despite high heterogeneity of predictors between and within sites, classification accuracy did not suffer due to combination of datasets. Further multi-center analyses may benefit from use of the CD for generation of classification and outcome prediction models.

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