fNIRS-based functional connectivity estimation using semi-metric analysis to study decision making by nursing students and registered nurses
Abstract This study aims to investigate the generalizability of the semi-metric analysis of the functional connectivity (FC) for functional near-infrared spectroscopy (fNIRS) by applying it to detect the dichotomy in differential FC under affective and neutral emotional states in nursing students an...
Guardado en:
Autores principales: | Jie Sheng Chong, Yee Ling Chan, Esther G. M. Ebenezer, Hoi Yen Chen, Masashi Kiguchi, Cheng-Kai Lu, Tong Boon Tang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/fcdc883a6b9e4f20aa9c90a9c5a7e439 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Registered nurse
Publicado: (2006) -
Test-retest reliability of graph metrics in functional brain networks: a resting-state fNIRS study.
por: Haijing Niu, et al.
Publicado: (2013) -
Functional near-infrared spectroscopy (fNIRS) of posterolateral cerebellum and prefrontal cortex for fNIRS-driven cerebellar tES – a case report
por: Shubh Mohan Singh, et al.
Publicado: (2021) -
Reliability of fNIRS for noninvasive monitoring of brain function and emotion in sheep
por: Matteo Chincarini, et al.
Publicado: (2020) -
Development of an Integrated EEG/fNIRS Brain Function Monitoring System
por: Manal Mohamed, et al.
Publicado: (2021)