Functional near-infrared spectroscopy (fNIRS) research articles show a large heterogeneity
in the analysis approaches and pre-processing procedures. Additionally, there is often a …

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 …

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 …

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) …

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 …

In this Outlook paper, we explain why an accurate physiological interpretation of functional
near-infrared spectroscopy (fNIRS) neuroimaging signals is facilitated when systemic …

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 …

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 …

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 …

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 …