Deep Learning‐based Classification of Resting‐state fMRI Independent‐component Analysis

Functional connectivity analyses of fMRI data have shown that the activity of the brain at rest is spatially organized into resting-state networks (RSNs). RSNs appear as groups of anatomically distant but functionally tightly connected brain regions. Inter-RSN intrinsic connectivity analyses may pro...

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Veröffentlicht in:	Neuroinformatics (Totowa, N.J.) N.J.), 2021-10, Vol.19 (4), p.619-637
Hauptverfasser:	Nozais, Victor, Boutinaud, Philippe, Verrecchia, Violaine, Gueye, Marie-Fateye, Hervé, Pierre-Yves, Tzourio, Christophe, Mazoyer, Bernard, Joliot, Marc
Format:	Artikel
Sprache:	eng
Schlagworte:	Bioinformatics Biomedical and Life Sciences Biomedicine Brain mapping Classification Computational Biology/Bioinformatics Computer Appl. in Life Sciences Cortex (parietal) Deep learning Functional magnetic resonance imaging Neural networks Neurology Neurosciences Original Article Substantia grisea
Online-Zugang:	Volltext
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