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).
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
