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 …

Separation of the global and local components in functional near-infrared spectroscopy signals using principal component spatial filtering

X Zhang, JA Noah, J Hirsch - Neurophotonics, 2016 - spiedigitallibrary.org
Global systemic effects not specific to a task can be prominent in functional near-infrared
spectroscopy (fNIRS) signals and the separation of task-specific fNIRS signals and global …

Short-channel regression in functional near-infrared spectroscopy is more effective when considering heterogeneous scalp hemodynamics

D Wyser, M Mattille, M Wolf, O Lambercy… - …, 2020 - spiedigitallibrary.org
Significance: The reliability of functional near-infrared spectroscopy (fNIRS) measurements
is reduced by systemic physiology. Short-channel regression algorithms aim at removing …

Quantitative evaluation of deep and shallow tissue layers' contribution to fNIRS signal using multi-distance optodes and independent component analysis

T Funane, H Atsumori, T Katura, AN Obata, H Sato… - Neuroimage, 2014 - Elsevier
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 …

[HTML][HTML] Quantitative comparison of correction techniques for removing systemic physiological signal in functional near-infrared spectroscopy studies

H Santosa, X Zhai, F Fishburn, PJ Sparto… - …, 2020 - spiedigitallibrary.org
Significance: Isolating task-evoked brain signals from background physiological noise (eg,
cardiac, respiratory, and blood pressure fluctuations) poses a major challenge for the …

[HTML][HTML] Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes

T Sato, I Nambu, K Takeda, T Aihara, O Yamashita… - NeuroImage, 2016 - Elsevier
Functional near-infrared spectroscopy (fNIRS) is used to measure cerebral activity because
it is simple and portable. However, scalp-hemodynamics often contaminates fNIRS signals …

[HTML][HTML] Correcting physiological noise in whole-head functional near-infrared spectroscopy

F Zhang, D Cheong, AF Khan, Y Chen, L Ding… - Journal of Neuroscience …, 2021 - Elsevier
Background Functional near-infrared spectroscopy (fNIRS) has been increasingly employed
to monitor cerebral hemodynamics in normal and diseased conditions. However, fNIRS …

Further improvement in reducing superficial contamination in NIRS using double short separation measurements

L Gagnon, MA Yücel, DA Boas, RJ Cooper - Neuroimage, 2014 - Elsevier
Abstract Near-Infrared Spectroscopy (NIRS) allows the recovery of the evoked
hemodynamic response to brain activation. In adult human populations, the NIRS signal is …

Short-channel functional near-infrared spectroscopy regressions improve when source-detector separation is reduced

JR Goodwin, CR Gaudet, AJ Berger - Neurophotonics, 2014 - spiedigitallibrary.org
In functional near-infrared spectroscopy (fNIRS) of human cerebral hemodynamics,
dedicated surface-sensitive recording channels are useful for regressing out background …

Reconstructing functional near-infrared spectroscopy (fNIRS) signals impaired by extra-cranial confounds: an easy-to-use filter method

FB Haeussinger, T Dresler, S Heinzel, M Schecklmann… - NeuroImage, 2014 - Elsevier
Functional near-infrared spectroscopy (fNIRS) is an optical neuroimaging method that
detects temporal concentration changes of oxygenated and deoxygenated hemoglobin …