A graph theory-based modeling of functional brain connectivity based on EEG: a systematic review in the context of neuroergonomics

LE Ismail, W Karwowski - Ieee Access, 2020 - ieeexplore.ieee.org
Graph theory analysis, a mathematical approach, has been applied in brain connectivity
studies to explore the organization of network patterns. The computation of graph theory …

When the time is right: Temporal dynamics of brain activity in healthy aging and dementia

SM Courtney, T Hinault - Progress in neurobiology, 2021 - Elsevier
Brain activity and communications are complex phenomena that dynamically unfold over
time. However, in contrast with the large number of studies reporting neuroanatomical …

[HTML][HTML] The strength of anticipated distractors shapes EEG alpha and theta oscillations in a Working Memory task

E Magosso, D Borra - NeuroImage, 2024 - Elsevier
Working Memory (WM) requires maintenance of task-relevant information and suppression
of task-irrelevant/distracting information. Alpha and theta oscillations have been extensively …

Neuromodulation of brain power topography and network topology by prefrontal transcranial photobiomodulation

S Shahdadian, X Wang, H Wanniarachchi… - Journal of neural …, 2022 - iopscience.iop.org
Objective. Transcranial photobiomodulation (tPBM) has shown promising benefits, including
cognitive improvement, in healthy humans and in patients with Alzheimer's disease. In this …

Age-related alterations in EEG network connectivity in healthy aging

H Javaid, E Kumarnsit, S Chatpun - Brain Sciences, 2022 - mdpi.com
Emerging studies have reported that functional brain networks change with increasing age.
Graph theory is applied to understand the age-related differences in brain behavior and …

Exploring EEG effective connectivity network in estimating influence of color on emotion and memory

MT Chai, HU Amin, LI Izhar, MNM Saad… - Frontiers in …, 2019 - frontiersin.org
Color is a perceptual stimulus that has a significant impact on improving human emotion and
memory. Studies have revealed that colored multimedia learning materials (MLMs) have a …

Multi-dimensional conditional mutual information with application on the EEG signal analysis for spatial cognitive ability evaluation

D Wen, R Li, M Jiang, J Li, Y Liu, X Dong, MI Saripan… - Neural Networks, 2022 - Elsevier
This study aims to explore an effective method to evaluate spatial cognitive ability, which can
effectively extract and classify the feature of EEG signals collected from subjects …

Disrupted neural synchrony mediates the relationship between white matter integrity and cognitive performance in older adults

T Hinault, M Kraut, A Bakker, A Dagher… - Cerebral …, 2020 - academic.oup.com
Our main goal was to determine the influence of white matter integrity on the dynamic
coupling between brain regions and the individual variability of cognitive performance in …

The dynamic properties of a brain network during working memory based on the algorithm of cross-frequency coupling

W Zhang, L Guo, D Liu, G Xu - Cognitive Neurodynamics, 2020 - Springer
Working memory (WM) refers to a memory system with limited energy for short-term
maintenance and plays an important role in cognitive functions. At present, research …

Working memory training and evaluation based on brain-computer interface and virtual reality: our opinion

D Duan, Z Wu, Y Zhou, X Wan, D Wen - Frontiers in Human …, 2023 - frontiersin.org
Working memory (WM) is the cognitive system necessary for the temporary storage and
manipulation of information during complex tasks like reasoning, comprehension, and …