Citation: Naseer N (2015) Commentary: Correlation of prefrontal cortical activation with changing vehicle speeds in actual driving: a vector-based functional near-infrared spectroscopy study. I am really impressed by this article published in Frontiers in Human Neuroscience in December 2013. In this paper, Yoshino et al. (2013) demonstrate that the activation of prefrontal cortex increases with...

Cortical connectivity analysis is a widely used method for understanding the causes of neurological disorders and related brain mechanisms. Although there exist numerous activity toolboxes functional near-infrared spectroscopy (fNIRS), are only few cortical toolboxes. In 2019, we released MATALB toolbox named OptoNet, which has helped researchers to analyze networks using fNIRS. this study, dev...

fNIRS is a device designed to detect changes in the concentration of oxygenated (oxyHb) and deoxygenated (deoxyHb) haemoglobin molecules in the blood, a method commonly used to assess cerebral activity. Over the last decade, functional near-infrared spectroscopy (fNIRS) has widely extended its applications due to its capacity to quantify oxygenation in blood and organic tissue in a continuous a...

Significance: Signal contamination is a major hurdle in functional near-infrared spectroscopy (fNIRS) of the human head as NIR signal contaminated with changes corresponding to superficial tissue, therefore occluding information originating from cerebral region. For continuous wave, this generally handled through linear regression shortest source-detector (SD) distance intensity measurement all...

Significance: High density diffuse optical tomography (HD-DOT) as applied in functional near-infrared spectroscopy (fNIRS) is largely limited to continuous wave (CW) data. Using a single modulation frequency, frequency domain (FD) HD-DOT has recently demonstrated better localization of focal activation compared CW We show that combining and FD measurements multiple frequencies increases imaging...

Abstract Objective. Non-invasive brain-machine interfaces (BMIs) offer an alternative, safe and accessible way to interact with the environment. To enable meaningful stable physical interactions, BMIs need decode forces. Although previously addressed in unimanual case, controlling forces from both hands would BMI-users perform a greater range of interactions. We here investigate decoding hand-s...

Abstract Objective. Semantic decoding refers to the identification of semantic concepts from recordings an individual’s brain activity. It has been previously reported in functional magnetic resonance imaging and electroencephalography. We investigate whether is possible with near-infrared spectroscopy (fNIRS). Specifically, we attempt differentiate between categories animals tools. also identi...

We highlight a significant problem that needs to be considered and addressed when performing functional near-infrared spectroscopy (fNIRS) studies, namely the possibility of inadvertently measuring fNIRS hemodynamic responses that are not due to neurovascular coupling. These can be misinterpreted as brain activity, i.e., "false positives" (errors caused by wrongly assigning a detected hemodynam...

Catatonia is a syndrome that manifests in patients with mental disorders and general medical conditions. However, functional changes to the brain cause catatonia remain unknown. In present study, we used near-infrared spectroscopy (fNIRS) assess spontaneous hemodynamic activities at times of onset resolution catatonic symptoms catatonia. We 22-channel 49-channel fNIRS examine prefrontal cortex ...

There has been considerable interest in applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of brain function. EEG–fNIRS can provide a comprehensive picture electrical hemodynamic function applied across various fields science. The development wearable, mechanically electrically integrated technology is critical next s...