For the Neuroimaging techniques such as event-related brain potentials (ERPs), and
functional magnetic resonance imaging (fMRI) are physically constraining, susceptible to …

To validate the usefulness of a model-based analysis approach according to the general
linear model (GLM) for functional near-infrared spectroscopy (fNIRS) data, a rapid event …

Functional near infrared spectroscopy (fNIRS) is a rapidly developing neuroimaging
modality for exploring cortical brain behaviour. Despite recent advances, the quality of fNIRS …

An increasing number of functional near-infrared spectroscopy (fNIRS) studies utilize a
general linear model (GLM) approach, which serves as a standard statistical method for …

Functional connectivity derived from resting-state functional near infrared spectroscopy has
gained attention of recent scholars because of its capability in providing valuable insight into …

Identification of user state is of interest in a wide range of disciplines that fall under the
umbrella of human machine interaction. Functional Near Infra-Red Spectroscopy (fNIRS) …

This mini-review is aimed at briefly summarizing the present status of functional near-
infrared spectroscopy (fNIRS) and predicting where the technique should go in the next …

This Research Topic focused on recent developments in methodologies and applications of
functional near-infrared spectroscopy (fNIRS). It consists of 28 articles on various aspects …

Functional near-infrared spectroscopy (fNIRS) is a promising technique for non-invasively
assessing cortical brain activity during learning. This technique is safe, portable, and …

The development of non-invasive brain imaging techniques over the last 50 years has led to
an exponential growth in our understanding of brain function and structure. Over the last two …