A graph theory-based modeling of functional brain connectivity based on EEG: a systematic review in the context of neuroergonomics
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 …
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
Brain activity and communications are complex phenomena that dynamically unfold over
time. However, in contrast with the large number of studies reporting neuroanatomical …
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 …
of task-irrelevant/distracting information. Alpha and theta oscillations have been extensively …
Neuromodulation of brain power topography and network topology by prefrontal transcranial photobiomodulation
Objective. Transcranial photobiomodulation (tPBM) has shown promising benefits, including
cognitive improvement, in healthy humans and in patients with Alzheimer's disease. In this …
cognitive improvement, in healthy humans and in patients with Alzheimer's disease. In this …
Age-related alterations in EEG network connectivity in healthy aging
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
manipulation of information during complex tasks like reasoning, comprehension, and …