Community detection for directional neural networks inferred from EEG data

• Published in: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2011; pp. 7155 - 7158
• Main Authors: Ying Liu, Moser, J., Aviyente, S.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.01.2011
• Subjects: Algorithm design and analysis; Algorithms; Brain - pathology; Brain - physiology; Brain Mapping - methods; Cluster Analysis; Clustering algorithms; Cognition; Communities; Computer Simulation; Detection algorithms; Electroencephalography; Electroencephalography - methods; Humans; Models, Neurological; Models, Statistical; Neural Networks (Computer); Neural Pathways; Neuroscience; Partitioning algorithms; Reproducibility of Results; Signal Processing, Computer-Assisted

One major challenge in neuroscience is to identify the functional modules from multichannel, multiple subjects recordings. Most research on community detection has focused on finding the association matrix based on functional connectivity, instead of effective connectivity, thus not capturing the ca...