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 …
[HTML][HTML] The incidence of philosophy on discursive and language competence in four-year-old pupils
MF Daniel, JC Pettier, E Auriac-Slusarczyk - Creative education, 2011 - scirp.org
Can philosophical dialogue foster the developmental process of certain language and
discursive capabilities, such as decentering and abstraction, in four-year old children? And if …
discursive capabilities, such as decentering and abstraction, in four-year old children? And if …
Graph theoretical analysis of functional brain networks in healthy subjects: visual oddball paradigm
KW Thee, H Nisar, CS Soh - IEEE Access, 2018 - ieeexplore.ieee.org
This paper evaluates brain functional connectivity (FC) using Electroencephalography data
from 18 healthy subjects using visual oddball paradigm. We have evaluated the effect of …
from 18 healthy subjects using visual oddball paradigm. We have evaluated the effect of …
Visual objects categorization using dense EEG: A preliminary study
The ability of the brain to categorize or group visual stimuli based on common features is a
fundamental principle of cognition. This categorization is very fast and occurs in few …
fundamental principle of cognition. This categorization is very fast and occurs in few …
Spatiotemporal analysis of brain functional connectivity
Brain functions are based on interactions between neural assemblies distributed within and
across distinct cerebral regions. During cognitive tasks, these interactions are dynamic and …
across distinct cerebral regions. During cognitive tasks, these interactions are dynamic and …
A novel algorithm for measuring graph similarity: application to brain networks
Measuring similarity among graphs is a challenging issue in many disciplines including
neuroscience. Several algorithms, mainly based on vertices or edges properties, were …
neuroscience. Several algorithms, mainly based on vertices or edges properties, were …
Identification of brain networks with high time/space resolution using dense EEG
A challenging issue in cognition is how to precisely identify brain networks at very short
temporal scales. So far, very few studies have addressed this problem as it requires high …
temporal scales. So far, very few studies have addressed this problem as it requires high …
EEGNET: A novel tool for processing and map** EEG functional networks
Due to its excellent temporal resolution, the Electroencephalogram (EEG) has become a key
neuroimaging technique to analyze functional brain networks at scalp level (electrodes) and …
neuroimaging technique to analyze functional brain networks at scalp level (electrodes) and …
[PDF][PDF] Cerebral synchrony assessment: A general review on cerebral signals' synchronization estimation concepts and methods
E Seraj - arxiv preprint arxiv:1612.04295, 2016 - hal.science
The human brain is ultimately responsible for all thoughts and movements that the body
produces. This allows humans to successfully interact with their environment. If the brain is …
produces. This allows humans to successfully interact with their environment. If the brain is …
Tracking dynamics of functional brain networks using dense EEG
Cognition is formed from networks between functionally specific but distributed brain
regions. A very challenging issue in cognition is how to precisely track brain networks at very …
regions. A very challenging issue in cognition is how to precisely track brain networks at very …