[HTML][HTML] Current status and issues regarding pre-processing of fNIRS neuroimaging data: an investigation of diverse signal filtering methods within a general linear …
Functional near-infrared spectroscopy (fNIRS) research articles show a large heterogeneity
in the analysis approaches and pre-processing procedures. Additionally, there is often a …
in the analysis approaches and pre-processing procedures. Additionally, there is often a …
Application of functional near-infrared spectroscopy in psychiatry
Two decades ago, the introduction of functional near-infrared spectroscopy (fNIRS) into the
field of neuroscience created new opportunities for investigating neural processes within the …
field of neuroscience created new opportunities for investigating neural processes within the …
The present and future use of functional near‐infrared spectroscopy (fNIRS) for cognitive neuroscience
The past few decades have seen a rapid increase in the use of functional near‐infrared
spectroscopy (fNIRS) in cognitive neuroscience. This fast growth is due to the several …
spectroscopy (fNIRS) in cognitive neuroscience. This fast growth is due to the several …
Deep learning in fNIRS: a review
Significance: Optical neuroimaging has become a well-established clinical and research
tool to monitor cortical activations in the human brain. It is notable that outcomes of …
tool to monitor cortical activations in the human brain. It is notable that outcomes of …
[HTML][HTML] The NIRS brain AnalyzIR toolbox
Functional near-infrared spectroscopy (fNIRS) is a noninvasive neuroimaging technique that
uses low-levels of light (650–900 nm) to measure changes in cerebral blood volume and …
uses low-levels of light (650–900 nm) to measure changes in cerebral blood volume and …
Model-based analysis of rapid event-related functional near-infrared spectroscopy (NIRS) data: a parametric validation study
To validate the usefulness of a model-based analysis approach according to the general
linear model (GLM) for functional near-infrared spectroscopy (fNIRS) data, a rapid event …
linear model (GLM) for functional near-infrared spectroscopy (fNIRS) data, a rapid event …
[HTML][HTML] Signal processing in functional near-infrared spectroscopy (fNIRS): methodological differences lead to different statistical results
MD Pfeifer, F Scholkmann, R Labruyère - Frontiers in human …, 2018 - frontiersin.org
Even though research in the field of functional near-infrared spectroscopy (fNIRS) has been
performed for more than 20 years, consensus on signal processing methods is still lacking …
performed for more than 20 years, consensus on signal processing methods is still lacking …
Event-related functional near-infrared spectroscopy (fNIRS): are the measurements reliable?
The purpose of the present study was to investigate the retest reliability of event-related
functional near-infrared spectroscopy (fNIRS). Therefore, isolated functional activation was …
functional near-infrared spectroscopy (fNIRS). Therefore, isolated functional activation was …
[HTML][HTML] Signal processing in fNIRS: a case for the removal of systemic activity for single trial data
F Klein, C Kranczioch - Frontiers in human neuroscience, 2019 - frontiersin.org
Researchers using functional near infrared spectroscopy (fNIRS) are increasingly aware of
the problem that conventional filtering methods do not eliminate systemic noise at …
the problem that conventional filtering methods do not eliminate systemic noise at …
Quality control and assurance in functional near infrared spectroscopy (fNIRS) experimentation
F Orihuela-Espina, DR Leff, DRC James… - Physics in Medicine …, 2010 - iopscience.iop.org
Functional near infrared spectroscopy (fNIRS) is a rapidly developing neuroimaging
modality for exploring cortical brain behaviour. Despite recent advances, the quality of fNIRS …
modality for exploring cortical brain behaviour. Despite recent advances, the quality of fNIRS …