Fine-grain atlases of functional modes for fMRI analysis

Fine-grain atlases of functional modes for fMRI analysis

Population imaging markedly increased the size of functional-imaging datasets, shedding new light on the neural basis of inter-individual differences. Analyzing these large data entails new scalability challenges, computational and statistical. For this reason, brain images are typically summarized...

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Bibliographic Details
Main Authors: Kamalaker Dadi, Gaël Varoquaux, Antonia Machlouzarides-Shalit, Krzysztof J. Gorgolewski, Demian Wassermann, Bertrand Thirion, Arthur Mensch
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:NeuroImage
Subjects:
Brain imaging atlases
Functional networks
Functional parcellations
Multi-resolution
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920306121

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http://www.sciencedirect.com/science/article/pii/S1053811920306121

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