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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning
verfasst von : Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gael Varoquaux
Erschienen in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
Verlag: Springer Berlin Heidelberg
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Spontaneous brain activity reveals mechanisms of brain function and dysfunction. Its population-level statistical analysis based on functional images often relies on the definition of brain regions that must summarize efficiently the covariance structure between the multiple brain networks. In this paper, we extend a network-discovery approach, namely dictionary learning, to readily extract brain regions. To do so, we introduce a new tool drawing from clustering and linear decomposition methods by carefully crafting a penalty. Our approach automatically extracts regions from rest fMRI that better explain the data and are more stable across subjects than reference decomposition or clustering methods.