Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms.

Oku, Amanda Yumi Ambriola; Barreto, Candida; Bruneri, Guilherme; Brockington, Guilherme; Fujita, Andre; Sato, João Ricardo

Oku, Amanda Yumi Ambriola; Barreto, Candida; Bruneri, Guilherme; Brockington, Guilherme; Fujita, Andre; Sato, João Ricardo.

Afiliação

Oku AYA; Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil.
Barreto C; Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil.
Bruneri G; NRF South Africa Chair: Integrated Studies of Learning Language, Science and Mathematics in the Primary School, University of Johannesburg, Johannesburg, South Africa.
Brockington G; Physics Department, Aeronautics Institute of Technology, São José dos Campos, Brazil.
Fujita A; Center for Natural and Human Sciences, Universidade Federal do ABC, Santo André, Brazil.
Sato JR; Computer Science Department, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil.

Front Comput Neurosci ; 16: 975743, 2022.

Article em En | MEDLINE | ID: mdl-36185711

Palavras-chave

degree centrality; eigenvector centrality and modularity; fNIRS; graph theory; neuroscience

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Comput Neurosci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil

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