Ontology highlight
ABSTRACT:
SUBMITTER: Albouy P
PROVIDER: S-EPMC6831619 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Albouy Philippe P Caclin Anne A Norman-Haignere Sam V SV Lévêque Yohana Y Peretz Isabelle I Tillmann Barbara B Zatorre Robert J RJ
Frontiers in neuroscience 20191030
Machine learning classification techniques are frequently applied to structural and resting-state fMRI data to identify brain-based biomarkers for developmental disorders. However, task-related fMRI has rarely been used as a diagnostic tool. Here, we used structural MRI, resting-state connectivity and task-based fMRI data to detect congenital amusia, a pitch-specific developmental disorder. All approaches discriminated amusics from controls in meaningful brain networks at similar levels of accur ...[more]