Studying functional brain networks from dry electrode EEG set during music and resting states in neurodevelopment disorder
Sareen, E.; Gupta, A.; Verma, R.; Achary, G. K.; Varkey, B.
Show abstract
There has been an emerging interest in the study of functional brain networks in cognitive neuroscience in order to better understand brain responses to different stimuli. Such studies can help in understanding brain connectivity alterations that arise in neurodevelopmental disorders such as intellectual disability (ID). This research contributes to this body of knowledge by studying alterations in brain connectivity in ID compared to the typically developing controls (TDC). Electroencephalography (EEG) data of subjects with ID and TDC is collected through limited channel dry electrode system. Data was analyzed for the auditory and rest state processing along with the study of intra-network connectivity of the brain via clustering coefficients. Research findings indicate evidences for links between the sensory deficits and social impairment in ID individuals.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A Transfer Entropy-based methodology to analyze information flow under eyes-open and eyes-closed conditions with a clinical perspective 98%
- Subject, session and task effects on power, connectivity and network centrality: a source-based EEG study 97%
- Assessment of Flourishing Levels of Individuals by Using Resting State fNIRS with Different Functional Connectivity Measures 96%
Similar papers in this journal
Similar papers in this journal
- The thresholding problem and variability in the EEG graph network parameters 96%
- The Relationship between Stability of Interpersonal Coordination and Inter-Brain EEG Synchronization during Anti-phase Tapping 95%
- Automated methodology for optimal selection of the minimum electrode subset for accurate EEG source estimation based on Genetic Algorithm optimization 94%
Similar papers in this journal
- Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses 96%
- A Multi-subject, Multi-session, and Multi-task database for EEG-based Biometrics Challenge 95%
- Modulation of the spontaneous hemodynamic response function across levels of consciousness 94%
Similar papers in this journal
- Brain Functional Connectivity Correlates of Anomalous Interaction Between Sensorily Isolated Monozygotic Twins 95%
- Classification of complex emotions using EEG and virtual environment: proof of concept and therapeutic implication 94%
- Disrupted information flow in resting-state in adolescents with sports related concussion 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.