1. Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia
- Author
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Philippe Albouy, Anne Caclin, Sam V. Norman-Haignere, Yohana Lévêque, Isabelle Peretz, Barbara Tillmann, Robert J. Zatorre, Laboratoire Parole et Langage (LPL), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre de recherche en neurosciences de Lyon (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Département de Psychologie, Université de Montréal (UdeM), McGill University = Université McGill [Montréal, Canada], Laboratoire d'Etude de l'Apprentissage et du Développement [Dijon] (LEAD), Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB), Dycog, Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), International Laboratory for Brain, Music and Sound Research [Montréal, Canada] (BRAMS), McGill University = Université McGill [Montréal, Canada]-Université de Montréal (UdeM), Brain Dynamics and Cognition (DYCOG), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des systèmes perceptifs (LSP), Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Columbia University [New York], ANR-10-LABX-0060,CeLyA,Lyon Acoustics Centre(2010), ANR-11-LABX-0042,CORTEX,Construction, Fonction Cognitive et Réhabilitation du Cerveau(2011), and ANR-11-IDEX-0007,Avenir L.S.E.,PROJET AVENIR LYON SAINT-ETIENNE(2011)
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[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging ,diagnostic ,Amusia ,behavioral disciplines and activities ,050105 experimental psychology ,lcsh:RC321-571 ,tone deafness ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Biological neural network ,0501 psychology and cognitive sciences ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,task-based fMRI ,ComputingMilieux_MISCELLANEOUS ,Original Research ,General Neuroscience ,05 social sciences ,medicine.disease ,Developmental disorder ,Statistical classification ,Functional Brain Imaging ,Tone deafness ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,multivariate pattern analysis (MVPA) ,Psychology ,Classifier (UML) ,Neuroscience ,brain-based biomarkers ,sMRI ,030217 neurology & neurosurgery ,Decoding methods ,psychological phenomena and processes ,rs-fMRI - Abstract
International audience; 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 accuracy. Interestingly, the classifier outcome was specific to deficit-related neural circuits, as the group classification failed for fMRI data acquired during a verbal task for which amusics were unimpaired. Most importantly, classifier outputs of task-related fMRI data predicted individual behavioral performance on an independent pitch-based task, while this relationship was not observed for structural or resting-state data. These results suggest that task-related imaging data can potentially be used as a powerful diagnostic tool to identify developmental disorders as they allow for the prediction of symptom severity.
- Published
- 2019
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