Low frequency systemic hemodynamic “noise” in resting state BOLD fMRI: characteristics, causes, implications, mitigation strategies, and applications
Advances in functional magnetic resonance imaging (fMRI) acquisition have improved
signal to noise to the point where the physiology of the subject is the dominant noise source …
signal to noise to the point where the physiology of the subject is the dominant noise source …
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 …
Automated processing of fNIRS data—a visual guide to the pitfalls and consequences
LM Hocke, IK Oni, CC Duszynski, AV Corrigan… - Algorithms, 2018 - mdpi.com
With the rapid increase in new fNIRS users employing commercial software, there is a
concern that many studies are biased by suboptimal processing methods. The purpose of …
concern that many studies are biased by suboptimal processing methods. The purpose of …
Quantitative evaluation of deep and shallow tissue layers' contribution to fNIRS signal using multi-distance optodes and independent component analysis
To quantify the effect of absorption changes in the deep tissue (cerebral) and shallow tissue
(scalp, skin) layers on functional near-infrared spectroscopy (fNIRS) signals, a method using …
(scalp, skin) layers on functional near-infrared spectroscopy (fNIRS) signals, a method using …
[HTML][HTML] Potential pitfalls when denoising resting state fMRI data using nuisance regression
In resting state fMRI, it is necessary to remove signal variance associated with noise
sources, leaving cleaned fMRI time-series that more accurately reflect the underlying …
sources, leaving cleaned fMRI time-series that more accurately reflect the underlying …
Quantitative comparison of resting-state functional connectivity derived from fNIRS and fMRI: a simultaneous recording study
L Duan, YJ Zhang, CZ Zhu - Neuroimage, 2012 - Elsevier
The feasibility of functional near-infrared spectroscopy (fNIRS) to assess resting-state
functional connectivity (RSFC) has already been demonstrated. However the validity of …
functional connectivity (RSFC) has already been demonstrated. However the validity of …
Low-frequency oscillations measured in the periphery with near-infrared spectroscopy are strongly correlated with blood oxygen level-dependent functional magnetic …
Low-frequency oscillations (LFOs) in the range of 0.01–0.15 Hz are commonly observed in
functional imaging studies, such as blood oxygen level-dependent functional magnetic …
functional imaging studies, such as blood oxygen level-dependent functional magnetic …
Concurrent fNIRS and fMRI processing allows independent visualization of the propagation of pressure waves and bulk blood flow in the cerebral vasculature
Y Tong, BB Frederick - Neuroimage, 2012 - Elsevier
Blood Oxygen Level Dependent (BOLD) functional magnetic resonance imaging (fMRI)
measures changes in blood oxygenation, which is affected by physiological processes …
measures changes in blood oxygenation, which is affected by physiological processes …
Applications of functional near-infrared spectroscopy in fatigue, sleep deprivation, and social cognition
Functional near-infrared spectroscopy (fNIRS) is an optical diffusion technique that allows
the non-invasive imaging of cortical activity. During the last two decades, rapid technical and …
the non-invasive imaging of cortical activity. During the last two decades, rapid technical and …
Near‐infrared spectroscopy as a new tool for neurofeedback training: Applications in psychiatry and methodological considerations
Over the past decades, functional near‐infrared spectroscopy (fNIRS) has become a
valuable tool in the online assessment of brain function in psychological and …
valuable tool in the online assessment of brain function in psychological and …