Graph averaging as a means to compare multichannel EEG coherence networks and its application to the study of mental fatigue and neurodegenerative disease-Reference-Cited by-同舟云学术

Graph averaging as a means to compare multichannel EEG coherence networks and its application to the study of mental fatigue and neurodegenerative disease

Published:2011-04 Issue:2 Volume:35 Page:265-274
ISSN:0097-8493
Container-title:Computers & Graphics
language:en
Short-container-title:Computers & Graphics

Author:

Crippa Alessandro,Maurits Natasha M.,Lorist Monicque M.,Roerdink Jos B.T.M.

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference33 articles.

1. Functional and effective connectivity in neuroimaging: a synthesis;Friston;Human Brain Mapping,1994

2. Complex network measures of brain connectivity: uses and interpretations;Rubinov;NeuroImage,2010

3. Graph theoretical analysis of complex networks in the brain;Stam;Nonlinear Biomedical Physics,2007

4. On the predictability of epileptic seizures;Mormann;Clin Neurophysiol,2005

5. Functional brain networks develop from a “local to distributed” organization;Fair;PLoS Comput Biol,2009

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Addressing spatial bias in intracranial EEG functional connectivity analyses for epilepsy surgical planning;Journal of Neural Engineering;2022-09-23

2. Mental fatigue level detection based on event related and visual evoked potentials features fusion in virtual indoor environment;Cognitive Neurodynamics;2019-01-29

3. Comparison of Brain Connectivity Networks Using Local Structure Analysis;Studies in Computational Intelligence;2018-12-05

4. Visual Exploration of Dynamic Multichannel EEG Coherence Networks;Computer Graphics Forum;2018-11-05

5. The Reorganization of Human Brain Networks Modulated by Driving Mental Fatigue;IEEE Journal of Biomedical and Health Informatics;2017-05