Current status and issues regarding pre-processing of fNIRS neuroimaging data: an investigation of diverse signal filtering methods within a general linear model …
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 …
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 …
[HTML][HTML] Optical imaging and spectroscopy for the study of the human brain: status report
This report is the second part of a comprehensive two-part series aimed at reviewing an
extensive and diverse toolkit of novel methods to explore brain health and function. While …
extensive and diverse toolkit of novel methods to explore brain health and function. While …
The global signal in fMRI: Nuisance or Information?
The global signal is widely used as a regressor or normalization factor for removing the
effects of global variations in the analysis of functional magnetic resonance imaging (fMRI) …
effects of global variations in the analysis of functional magnetic resonance imaging (fMRI) …
A parsimonious description of global functional brain organization in three spatiotemporal patterns
Resting-state functional magnetic resonance imaging (MRI) has yielded seemingly
disparate insights into large-scale organization of the human brain. The brain's large-scale …
disparate insights into large-scale organization of the human brain. The brain's large-scale …
Mayer waves reduce the accuracy of estimated hemodynamic response functions in functional near-infrared spectroscopy
MA Yücel, J Selb, CM Aasted, PY Lin… - Biomedical optics …, 2016 - opg.optica.org
Analysis of cerebral hemodynamics reveals a wide spectrum of oscillations ranging from
0.0095 to 2 Hz. While most of these oscillations can be filtered out during analysis of …
0.0095 to 2 Hz. While most of these oscillations can be filtered out during analysis of …
[HTML][HTML] Improved physiological noise regression in fNIRS: a multimodal extension of the general linear model using temporally embedded canonical correlation …
For the robust estimation of evoked brain activity from functional Near-Infrared Spectroscopy
(fNIRS) signals, it is crucial to reduce nuisance signals from systemic physiology and motion …
(fNIRS) signals, it is crucial to reduce nuisance signals from systemic physiology and motion …
[HTML][HTML] Reduced coupling between cerebrospinal fluid flow and global brain activity is linked to Alzheimer disease–related pathology
The glymphatic system plays an important role in clearing the amyloid-β (Aβ) and tau
proteins that are closely linked to Alzheimer disease (AD) pathology. Glymphatic clearance …
proteins that are closely linked to Alzheimer disease (AD) pathology. Glymphatic clearance …
Systemic physiology augmented functional near-infrared spectroscopy: a powerful approach to study the embodied human brain
In this Outlook paper, we explain why an accurate physiological interpretation of functional
near-infrared spectroscopy (fNIRS) neuroimaging signals is facilitated when systemic …
near-infrared spectroscopy (fNIRS) neuroimaging signals is facilitated when systemic …
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 …