Functional brain connectivity of language functions in children revealed by EEG and MEG: a systematic review
The development of language functions is of great interest to neuroscientists, as these
functions are among the fundamental capacities of human cognition. For many years …
functions are among the fundamental capacities of human cognition. For many years …
Minimum spanning tree analysis of brain networks: A systematic review of network size effects, sensitivity for neuropsychiatric pathology, and disorder specificity
N Blomsma, B de Rooy, F Gerritse… - Network …, 2022 - direct.mit.edu
Brain network characteristics' potential to serve as a neurological and psychiatric pathology
biomarker has been hampered by the so-called thresholding problem. The minimum …
biomarker has been hampered by the so-called thresholding problem. The minimum …
EEG emotion recognition using multichannel weighted multiscale permutation entropy
ZM Wang, JW Zhang, Y He, J Zhang - Applied Intelligence, 2022 - Springer
Electroencephalogram (EEG) signal is a time-varying and nonlinear spatial discrete signal,
which has been widely used in the field of emotion recognition. Up to now, a large number of …
which has been widely used in the field of emotion recognition. Up to now, a large number of …
Predicting developmental language disorders using artificial intelligence and a speech data analysis tool
ABSTRACT Developmental Language Disorder (DLD) affects children's comprehension and
production of spoken language without any known biomedical condition. The importance of …
production of spoken language without any known biomedical condition. The importance of …
[HTML][HTML] Infants' neural speech discrimination predicts individual differences in grammar ability at 6 years of age and their risk of developing speech-language …
The 'sensitive period'for phonetic learning posits that between 6 and 12 months of age,
infants' discrimination of native and nonnative speech sounds diverge. Individual differences …
infants' discrimination of native and nonnative speech sounds diverge. Individual differences …
Electroencephalography based fatigue detection using a novel feature fusion and extreme learning machine
J Chen, H Wang, C Hua - Cognitive Systems Research, 2018 - Elsevier
The unsafe behaviors of operators in fatigue state not only lead to declines of work efficiency
but also higher error rates and more injuries and even deaths. Automated fatigue detection …
but also higher error rates and more injuries and even deaths. Automated fatigue detection …
Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI
Several studies have already assessed brain network variations in multiple sclerosis (MS)
patients and healthy controls (HCs). The underlying neural system's functioning is …
patients and healthy controls (HCs). The underlying neural system's functioning is …
Machine learning classification of dyslexic children based on EEG local network features
Abstract Machine learning can be used to find meaningful patterns characterizing individual
differences. Deploying a machine learning classifier fed by local features derived from graph …
differences. Deploying a machine learning classifier fed by local features derived from graph …
[HTML][HTML] Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG
Currently there are no reliable means of identifying infants at-risk for later language
disorders. Infant neural responses to rhythmic stimuli may offer a solution, as neural tracking …
disorders. Infant neural responses to rhythmic stimuli may offer a solution, as neural tracking …
Graph entropies-graph energies indices for quantifying network structural irregularity
Quantifying similarities/dissimilarities among different graph models and studying the
irregularity (heterogeneity) of graphs in graphs and complex networks are one of the …
irregularity (heterogeneity) of graphs in graphs and complex networks are one of the …