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Complexity In Mood Disorder Diagnosis: Fmri Connectivity Networks Predicted Medication-Class Of Response In Complex Patients, E Osuch, S Gao, M Wammes, Jean Theberge, P Willimason, R J Neufeld, Y Du, J Sui, V Calhoun
Complexity In Mood Disorder Diagnosis: Fmri Connectivity Networks Predicted Medication-Class Of Response In Complex Patients, E Osuch, S Gao, M Wammes, Jean Theberge, P Willimason, R J Neufeld, Y Du, J Sui, V Calhoun
Department of Medicine Publications
OBJECTIVE: This study determined the clinical utility of an fMRI classification algorithm predicting medication-class of response in patients with challenging mood diagnoses.
METHODS: Ninety-nine 16-27-year-olds underwent resting state fMRI scans in three groups-BD, MDD and healthy controls. A predictive algorithm was trained and cross-validated on the known-diagnosis patients using maximally spatially independent components (ICs), constructing a similarity matrix among subjects, partitioning the matrix in kernel space and optimizing support vector machine classifiers and IC combinations. This classifier was also applied to each of 12 new individual patients with unclear mood disorder diagnoses.
RESULTS: Classification within the known-diagnosis group was approximately …