Integration of spatial information increases reproducibility in functional near-infrared spectroscopy

SL Novi, EJ Forero, JAI Rubianes Silva… - Frontiers in …, 2020 - frontiersin.org
As functional near-infrared spectroscopy (fNIRS) is developed as a neuroimaging technique
and becomes an option to study a variety of populations and tasks, the reproducibility of the …

A synchrony-dependent influence of sounds on activity in visual cortex measured using functional near-infrared spectroscopy (fNIRS)

IM Wiggins, DEH Hartley - PloS one, 2015 - journals.plos.org
Evidence from human neuroimaging and animal electrophysiological studies suggests that
signals from different sensory modalities interact early in cortical processing, including in …

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 …

Evaluation of fNIRS signal components elicited by cognitive and hypercapnic stimuli

P Reddy, M Izzetoglu, PA Shewokis, M Sangobowale… - Scientific reports, 2021 - nature.com
Functional near infrared spectroscopy (fNIRS) measurements are confounded by signal
components originating from multiple physiological causes, whose activities may vary …

Isolating the sources of widespread physiological fluctuations in functional near-infrared spectroscopy signals

Y Tong, LM Hocke, BB Frederick - Journal of biomedical optics, 2011 - spiedigitallibrary.org
Physiological fluctuations at low frequency (< 0.1 Hz) are prominent in functional near-
infrared spectroscopy (fNIRS) measurements in both resting state and functional task …

Diagnostic Machine Learning Approaches on Clinical Populations and Clinical Conditions using Functional Near Infrared Spectroscopy: A Review

A Eken, F Nassehi, O Eroğul - medRxiv, 2023 - medrxiv.org
Objective There is a growing interest in functional near-infrared spectroscopy (fNIRS) among
researchers due to its remarkable advantages such as ease of use, being inexpensive and …

Effect of prewhitening in resting-state functional near-infrared spectroscopy data

B Blanco, M Molnar, C Caballero-Gaudes - Neurophotonics, 2018 - spiedigitallibrary.org
Near-infrared spectroscopy (NIRS) offers the potential to characterize resting-state functional
connectivity (RSFC) in populations that are not easily assessed otherwise, such as young …

Multi-way analysis coupled with near-infrared spectroscopy in food industry: Models and applications

H Yu, L Guo, M Kharbach, W Han - Foods, 2021 - mdpi.com
Near-infrared spectroscopy (NIRS) is a fast and powerful analytical tool in the food industry.
As an advanced chemometrics tool, multi-way analysis shows great potential for solving a …

A newcomer's guide to functional near infrared spectroscopy experiments

RK Almajidy, K Mankodiya, M Abtahi… - IEEE Reviews in …, 2019 - ieeexplore.ieee.org
This review presents a practical primer for functional near-infrared spectroscopy (fNIRS) with
respect to technology, experimentation, and analysis software. Its purpose is to jump-start …

[HTML][HTML] A working hypothesis visualization method for fNIRS measurements using Monte Carlo simulation

Y Kikuchi, Y Nomura - MethodsX, 2023 - Elsevier
In neuroscience, clarifying the functional localization of the cerebrum using functional near-
infrared spectroscopy (fNIRS) is one of the important works. To better understand and trust …