Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis | Zendy

João Ricardo Sato | Zendy; Joana Bisol Balardin | Zendy; Maciel Calebe Vidal | Zendy; André Fujita | Zendy

Open Access

Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis

Author(s) -

João Ricardo Sato,

Joana Bisol Balardin,

Maciel Calebe Vidal,

André Fujita

Publication year - 2016

Publication title -

journal of psychiatry and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.767

H-Index - 99

eISSN - 1488-2434

pISSN - 1180-4882

DOI - 10.1503/jpn.140364

Subject(s) - autism , resting state fmri , connectome , connectomics , neuroscience , sample entropy , psychology , neuroimaging , pattern recognition (psychology) , artificial intelligence , computer science , psychiatry , functional connectivity

Several neuroimaging studies support the model of abnormal development of brain connectivity in patients with autism-spectrum disorders (ASD). In this study, we aimed to test the hypothesis of reduced functional network segregation in autistic patients compared with controls.

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