Threshold optimization in separating cortical and extracerebral hemodynamics using principal component analysis

IntroductionWhen trying to differentiate between hemodynamic cortical and extracerebral signals identified by devices used to detect cortical activity, statistical methods such as principal component analysis (PCA) are commonly employed as alternative approaches to using short separation measurement...

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Autori principali:	Wakana Kawai, Kazuki Hyodo, Yuki Yamamoto, Tatsuya Hayashi, Daisuke Yamaguchi, Aiko Ueno, Simone Cutini, Ippeita Dan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2026-04-01
Serie:	Frontiers in Human Neuroscience
Soggetti:	functional near-infrared spectroscopy (fNIRS) n-back task principal component analysis (PCA) short-separation channel threshold optimization
Accesso online:	https://www.frontiersin.org/articles/10.3389/fnhum.2026.1778201/full
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