In the data analysis of functional near-infrared spectroscopy (fNIRS), linear model
frameworks, in particular mass univariate analysis, are often used when researchers …

This chapter focuses on functional near-infrared spectroscopy (fNIRS) and its applications in
the field of neuroergonomics. Due to the small, portable, and flexible nature of fNIRS, it has …

Functional near-infrared spectroscopy (fNIRS) has been applied in educational studies
during the past decade, arousing tremendous attention, but lack of a systematic review …

Naturalistic paradigms are being increasingly applied to investigate human brain function.
Compared with resting-state and task-based paradigms in neuroimaging, naturalistic stimuli …

Significance The expansion of functional near-infrared spectroscopy (fNIRS) methodology
and analysis tools gives rise to various design and analytical decisions that researchers …

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 …

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 …

Introduction Functional near-infrared spectroscopy (fNIRS) is a promising tool for studying
brain activity, offering advantages such as portability and affordability. However, challenges …

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 …

The development of methods to analyze data acquired using functional near-infrared
spectroscopy (fNIRS) in experiments similar to real-life situations is of great value in modern …