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

Frontiers in Neuroscience

Nov 19, 2019

Philippe AlbouyRobert J Zatorre

Abstract

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 c...read more

Mentioned in this Paper

Biological Markers
Classification
Magnetic Resonance Imaging
Subject-Related Study Activity
Brain
Neural Stem Cells
FMRI
Developmental Disabilities
Structure
Imaging of Brain
5
5
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Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia

Frontiers in Neuroscience

Nov 19, 2019

Philippe AlbouyRobert J Zatorre

PMID: 31736698

DOI: 10.3389/fnins.2019.01165

Abstract

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 c...read more

Mentioned in this Paper

Biological Markers
Classification
Magnetic Resonance Imaging
Subject-Related Study Activity
Brain
Neural Stem Cells
FMRI
Developmental Disabilities
Structure
Imaging of Brain
5
5

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