Results 51 to 60 of about 13,460 (222)
The application of near infrared spectroscopy in nutritional intervention studies
, 2013 Functional near infrared spectroscopy (NIRS) is a non-invasive optical imaging technique used to monitor cerebral blood flow (CBF) and by proxy neuronal activation.
Kennedy, David +5 more
core +1 more source
Temporal decoupling of oxy- and deoxy-hemoglobin hemodynamic responses detected by functional near-infrared spectroscopy (fNIRS) [PDF]
, 2014 Article discussing temporal decoupling of oxy- and deoxy-hemoglobin hemodynamic responses detected by functional near-infrared spectroscopy ...
Zouridakis, George, Tam, Nicoladie D.
core +1 more source
EBioMedicine, 2020 Background: Functional near infrared spectroscopy (fNIRS) provides a direct and quantitative assessment of cortical haemodynamic function during a cognitive task.
Syeda F. Husain +9 more
doaj +1 more source
Using Functional Near Infrared Spectroscopy (fNIRS) to Study Dynamic Stereoscopic Depth Perception [PDF]
Brain Topography, 2016 The parietal cortex has been widely implicated in the processing of depth perception by many neuroimaging studies, yet functional near infrared spectroscopy (fNIRS) has been an under-utilised tool to examine the relationship of oxy- ([HbO]) and de-oxyhaemoglobin ([HbR]) in perception. Here we examine the haemodynamic response (HDR) to the processing of
Ward, Laura M. +4 more
openaire +4 more sources
Brain Health, EarlyView.ABSTRACT Neurological disorders represent a critical domain within global health, necessitating advanced interventions to address complex pathologies such as tumors, functional disorders, and cerebrovascular diseases. Despite the proven benefits of early intervention, current treatment paradigms face significant challenges: (1) limited precision in ...
Qing Ye +14 more
wiley +1 more source
A MATLAB-based tool for converting fNIRS time-series data to Homer3-compatible formats
Neuroscience InformaticsFunctional Near-Infrared Spectroscopy (fNIRS) is increasingly used in cognitive neuroscience and clinical research, yet preprocessing raw time-series data remains challenging.
Chao Wang, Xiaojun Cheng, Shichao Liu
doaj +1 more source
System Derived Spatial-Temporal CNN for High-Density fNIRS BCI
IEEE Open Journal of Engineering in Medicine and Biology, 2023 An intuitive and generalisable approach to spatial-temporal feature extraction for high-density (HD) functional Near-Infrared Spectroscopy (fNIRS) brain-computer interface (BCI) is proposed, demonstrated here using Frequency-Domain (FD) fNIRS for motor ...
Robin Dale +4 more
doaj +1 more source
Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment
Exploration, EarlyView.This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng +11 more
wiley +1 more source
Brain responses reveal young infants’ sensitivity to when a social partner follows their gaze [PDF]
, 2013 Infants’ ability to follow another person's eye gaze has been studied extensively and is considered to be an important and early emerging social cognitive skill.
Johnson, Mark H. +5 more
core +1 more source
The fNIRS glossary project: a consensus-based resource for functional near-infrared spectroscopy terminology [PDF]
NeurophotonicsSignificance A shared understanding of terminology is essential for clear scientific communication and minimizing misconceptions. This is particularly challenging in rapidly expanding, interdisciplinary domains that utilize functional near-infrared spectroscopy (fNIRS), where researchers come from diverse backgrounds and apply their expertise in fields
Katharina Stute +75 more
openaire +4 more sources