A brain-computer interface (BCI) is a communication system that allows the use of brain activity to control computers or other external devices. It can, by bypassing the peripheral nervous system, provide a means of communication for people suffering from severe motor disabilities or in a persistent vegetative state. In this paper, brain-signal generation tasks, noise removal methods, feature e...

A pilot study was conducted to assess the feasibility of using fNIRS as an alternative to behavioral assessments of cognitive development with infants in rural Africa. We report preliminary results of a study looking at working memory in 12-16-month-olds and discuss the benefits and shortcomings for the potential future use of fNIRS to investigate the effects of nutritional insults and interven...

In Brain-Computer Interface (BCI) research, subject and session specific training data is usually used to ensure satisfying classification results. In this paper, we show that neural responses to different speaking tasks recorded with functional Near Infrared spectroscopy (fNIRS) are consistent enough across speakers to robustly classify speaking modes with models trained exclusively on other s...

Assessing whether someone is attending to a task has become important for educational and professional applications. Such attentional drifts are usually termed mind wandering (MW). The purpose of the current study is to test to what extent a recent neural imaging modality can be used to detect MW episodes. Functional near infrared spectroscopy is a non-invasive neuroimaging technique that has n...

We have applied functional near-infrared spectroscopy (fNIRS) to the human forehead to distinguish different levels of mental workload on the basis of hemodynamic changes occurring in the prefrontal cortex. We report data on 3 subjects from a protocol involving 3 mental workload levels based on to working memory tasks. To quantify the potential of fNIRS for mental workload discrimination, we ha...

Background Studies have shown that changes in cerebral blood flow occur the early stage of dementia, including Alzheimer’s disease (AD), and decreased contributes to impairment brain activities, then affects cognitive function. To diagnose AD very stage, such as mild (MCI), it is therefore necessary find a new way detect activities brain, functional near-infrared spectroscopy (fNIRS). Methods T...

The purpose of the present commentary is to consider new perspectives of investigation methods used in clinical psychology studies. We propose that functional Near-Infrared Spectroscopy (fNIRS) has several important advantages over currently used methods. This technique opens the opportunity to transfer psychophysiological evidences in clinical settings, for example to evaluate psychophysiologi...

An explosion of functional Near Infrared Spectroscopy (fNIRS) studies investigating cortical activation in relation to higher cognitive processes, such as language, memory, and attention is underway worldwide involving adults, children and infants with typical and atypical cognition. The contemporary challenge of using fNIRS for cognitive neuroscience is to achieve systematic analyses of data s...

In order to measure real life prospective memory (PM) ability in laboratory setting, previous studies have used photograph-based, video-based and virtual reality (VR)-based to simulate real life environment. In this study, we used the Functional Near-Infrared Spectroscopy (fNIRS) to record participants’ brain activities when they are performing PM tasks in immersive VR environment. 10 participa...

Functional near infrared spectroscopy (fNIRS) is a clinically feasible functional neuroimaging modality for detecting early cortical changes due to neurodegenerative diseases that affect cognition. The objective of this preliminary investigation was to test for reduced prefrontal activity in persons with cognitive impairments due to amyotrophic lateral sclerosis (ALS). Participants were require...