Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia

Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia

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 a...

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Bibliographic Details
Main Authors: Philippe Albouy, Anne Caclin, Sam V. Norman-Haignere, Yohana Lévêque, Isabelle Peretz, Barbara Tillmann, Robert J. Zatorre
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Neuroscience
Subjects:
multivariate pattern analysis (MVPA)
rs-fMRI
sMRI
task-based fMRI
tone deafness
diagnostic
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.01165/full

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