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
Published in:	NeuroImage (Orlando, Fla.) Vol. 221; no. 221; p. 117126
Main Authors:	Dadi, Kamalaker, Varoquaux, Gaël, Machlouzarides-Shalit, Antonia, Gorgolewski, Krzysztof J., Wassermann, Demian, Thirion, Bertrand, Mensch, Arthur
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 01.11.2020 Elsevier Limited Elsevier
Subjects:	Adult Algorithms Atlases as Topic Brain - diagnostic imaging Brain - physiology Brain imaging atlases Brain mapping Brain Mapping - methods Clustering Compression Computational neuroscience Computer Science Connectome - methods Data analysis Dictionaries Functional magnetic resonance imaging Functional networks Functional parcellations Humans Machine Learning Magnetic Resonance Imaging - methods Medical Imaging Multi-resolution Nerve Net - diagnostic imaging Nerve Net - physiology Neuroimaging Sparsity Statistics Systematic review Functional parcellations Multi-resolution Brain imaging atlases Functional networks
ISSN:	1053-8119, 1095-9572, 1095-9572
Online Access:	Get full text
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