Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery

Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery

MRI has been extensively used to identify anatomical and functional differences in Autism Spectrum Disorder (ASD). Yet, many of these findings have proven difficult to replicate because studies rely on small cohorts and are built on many complex, undisclosed, analytic choices. We conducted an intern...

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Bibliographic Details
Main Authors: Nicolas Traut, Katja Heuer, Guillaume Lemaître, Anita Beggiato, David Germanaud, Monique Elmaleh, Alban Bethegnies, Laurent Bonnasse-Gahot, Weidong Cai, Stanislas Chambon, Freddy Cliquet, Ayoub Ghriss, Nicolas Guigui, Amicie de Pierrefeu, Meng Wang, Valentina Zantedeschi, Alexandre Boucaud, Joris van den Bossche, Balázs Kegl, Richard Delorme, Thomas Bourgeron, Roberto Toro, Gaël Varoquaux
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:NeuroImage
Subjects:
Autism
diagnostic
machine learning
benchmark
overfit
prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922002981

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http://www.sciencedirect.com/science/article/pii/S1053811922002981

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