[HTML][HTML] What we can and cannot (yet) do with functional near infrared spectroscopy

M Strait, M Scheutz - Frontiers in neuroscience, 2014 - frontiersin.org
Functional near infrared spectroscopy (NIRS) is a relatively new technique complimentary to
EEG for the development of brain-computer interfaces (BCIs). NIRS-based systems for …

fNIRS evidence for distinguishing patients with major depression and healthy controls

J Chao, S Zheng, H Wu, D Wang… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
In recent years, major depressive disorder (MDD) has been shown to negatively impact
physical recovery in a variety of patients. Functional near-infrared spectroscopy (fNIRS) is a …

Bundled-optode implementation for 3D imaging in functional near-infrared spectroscopy

HD Nguyen, KS Hong - Biomedical Optics Express, 2016 - opg.optica.org
The paper presents a functional near-infrared spectroscopy (fNIRS)-based bundled-optode
method for detection of the changes of oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR) …

Characterization and correction of the false-discovery rates in resting state connectivity using functional near-infrared spectroscopy

H Santosa, A Aarabi, SB Perlman… - Journal of Biomedical …, 2017 - spiedigitallibrary.org
Functional near-infrared spectroscopy (fNIRS) is a noninvasive neuroimaging technique that
uses low levels of red to near-infrared light to measure changes in cerebral blood …

The relationship between exercise intensity, cerebral oxygenation and cognitive performance in young adults

S Mekari, S Fraser, L Bosquet, C Bonnéry… - European journal of …, 2015 - Springer
Purpose To assess the relationship between exercise intensity, cerebral HbO 2 and
cognitive performance (Executive and non-Executive) in young adults. Methods We …

[HTML][HTML] fNIRS-based Neurorobotic Interface for gait rehabilitation

RA Khan, N Naseer, NK Qureshi, FM Noori… - … of neuroengineering and …, 2018 - Springer
Background In this paper, a novel functional near-infrared spectroscopy (fNIRS)-based brain-
computer interface (BCI) framework for control of prosthetic legs and rehabilitation of …

Comparison of short-channel separation and spatial domain filtering for removal of non-neural components in functional near-infrared spectroscopy signals

JA Noah, X Zhang, S Dravida, C DiCocco… - …, 2021 - spiedigitallibrary.org
Significance: With the increasing popularity of functional near-infrared spectroscopy (fNIRS),
the need to determine localization of the source and nature of the signals has grown. Aim …

[HTML][HTML] Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community

EJ Doherty, CA Spencer, J Burnison, M Čeko… - Frontiers in Integrative …, 2023 - frontiersin.org
Functional Near-Infrared Spectroscopy (fNIRS) is an innovative and promising
neuroimaging modality for studying brain activity in real-world environments. While fNIRS …

Hemodynamic correlates of cognition in human infants

RN Aslin, M Shukla, LL Emberson - Annual review of …, 2015 - annualreviews.org
Over the past 20 years, the field of cognitive neuroscience has relied heavily on
hemodynamic measures of blood oxygenation in local regions of the brain to make …

Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis

H Nazeer, N Naseer, RA Khan, FM Noori… - Journal of Neural …, 2020 - iopscience.iop.org
Objective. In this paper, a novel methodology for feature extraction to enhance classification
accuracy of functional near-infrared spectroscopy (fNIRS)-based two-class and three-class …