Abstract
Efficient integration of objective biological data to improve the diagnostic process will be key for more accurate diagnoses and foundational for better nosologies. Little research has tested the relative contributions of types of brain data to classify disorders when predicting psychological conditions using fMRI data. The present study focuses on comparing task and resting-state data to predict autism spectrum disorder (ASD).
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