How much do time-domain functional near-infrared spectroscopy (fNIRS) moments improve estimation of brain activity over traditional fNIRS?

Ortega-Martinez, Antonio; Rogers, De'Ja; Anderson, Jessica; Farzam, Parya; Gao, Yuanyuan; Zimmermann, Bernhard; Yücel, Meryem A; Boas, David A

Ortega-Martinez, Antonio; Rogers, De'Ja; Anderson, Jessica; Farzam, Parya; Gao, Yuanyuan; Zimmermann, Bernhard; Yücel, Meryem A; Boas, David A.

Afiliación

Ortega-Martinez A; Boston University Neurophotonics Center, Boston, Massachusetts, United States.
Rogers D; Boston University Neurophotonics Center, Boston, Massachusetts, United States.
Anderson J; Boston University Neurophotonics Center, Boston, Massachusetts, United States.
Farzam P; Boston University Neurophotonics Center, Boston, Massachusetts, United States.
Gao Y; Boston University Neurophotonics Center, Boston, Massachusetts, United States.
Zimmermann B; Boston University Neurophotonics Center, Boston, Massachusetts, United States.
Yücel MA; Boston University Neurophotonics Center, Boston, Massachusetts, United States.
Boas DA; Boston University Neurophotonics Center, Boston, Massachusetts, United States.

Neurophotonics ; 10(1): 013504, 2023 Jan.

Article en En | MEDLINE | ID: mdl-36284602

Palabras clave

correlation; functional near-infrared spectroscopy; general linear model; moments; root-mean-square error; time-domain

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Neurophotonics Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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