Calibration of Deep Learning Classification Models in fNIRS [PDF]
Functional near-infrared spectroscopy (fNIRS) is a valuable non-invasive tool for monitoring brain activity. The classification of fNIRS data in relation to conscious activity holds significance for advancing our understanding of the brain and facilitating the development of brain-computer interfaces (BCI). Many researchers have turned to deep learning
arxiv +1 more source
Sleep neuroimaging: Review and future directions
Summary Sleep research has evolved considerably since the first sleep electroencephalography recordings in the 1930s and the discovery of well‐distinguishable sleep stages in the 1950s. While electrophysiological recordings have been used to describe the sleeping brain in much detail, since the 1990s neuroimaging techniques have been applied to uncover
Mariana Pereira+17 more
wiley +1 more source
In today’s technologically driven world, there is a need to better understand the ways that common computer malfunctions affect computer users. These malfunctions may have measurable influences on computer user’s cognitive, emotional, and behavioral ...
Barelka, Alex+6 more
core +2 more sources
MRI‐based surrogates of brain clearance in narcolepsy type 1
Summary Brain clearance involves the drainage of waste molecules from the brain, a process that is suggested to be amplified during sleep. Recently proposed MRI‐based methods attempt to approximate human brain clearance with surrogate measures. The current study aimed to explore whether two brain clearance surrogates are altered in narcolepsy.
Eva M. van Heese+6 more
wiley +1 more source
Simultaneous fNIRS and thermal infrared imaging during cognitive task reveal autonomic correlates of prefrontal cortex activity [PDF]
Functional Near Infrared-Spectroscopy (fNIRS) represents a powerful tool to non-invasively study task-evoked brain activity. fNIRS assessment of cortical activity may suffer for contamination by physiological noises of different origin (e.g.
Cardone, D, Merla, A, Pinti, P
core +1 more source
Comparing structure–function relationships in brain networks using EEG and fNIRS
Identifying relationships between structural and functional networks is crucial for understanding the large-scale organization of the human brain. The potential contribution of emerging techniques like functional near-infrared spectroscopy to investigate
Rosmary Blanco+4 more
doaj +1 more source
Prefrontal cortex functional connectivity based on simultaneous record of electrical and hemodynamic responses associated with mental stress [PDF]
This paper investigates prefrontal cortex (PFC) functional connectivity based on synchronized electrical and hemodynamic responses associated with mental stress. The electrical response was based on alpha rhythmic of Electroencephalography (EEG) signals and the hemodynamic responses were based on the mean concentrations of oxygenated and deoxygenated ...
arxiv
Re: JP‐TR‐2024‐286891 ‘The ageing brain: Cortical overactivation – How does it evolve?’
Abstract figure legend Age‐related progression of brain activity over time. This review article proposes a developmental process in the ageing brain, from compensation to negative overcompensation to chronic maladaptive overcompensation, which leads to dedifferentiation and desegregation.
Wolfgang Taube, Benedikt Lauber
wiley +1 more source
It has been 20 years since functional near-infrared spectroscopy (fNIRS) was first used to investigate the evoked hemodynamic response to a stimulus in newborns.
I. de Roever+5 more
semanticscholar +1 more source
Investigating the effects of systemic physiology on Functional Near-Infrared Spectroscopy based resting-state functional connectivity networks [PDF]
The use of neuroimaging has enhanced our understanding of the human brain and its associated functions. Research and development of these neuroimaging techniques have made it possible to study the brain in both healthy and patient populations, including ...
Shahid, Rafeh
core +1 more source