Graph-based analysis of brain connectivity during spelling task

被引:0
作者
Hassan, Mahmoud [1 ]
Mheich, Ahmad [1 ]
Wendling, Fabrice [1 ]
Dufor, Olivier [2 ]
Berrou, Claude [2 ]
机构
[1] Univ Rennes 1, INSERM, Lab Traitement Signal & Image, Rennes, France
[2] UMR CNRS Lab STICC, Telecom Bretagne, Inst Mines Telecom, Brest, France
来源
2013 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN BIOMEDICAL ENGINEERING (ABME 2013) | 2013年
关键词
High resolution EEG; Evoked potentials; Brain connectivity; Cognitive analysis; Graph theory; TIME-COURSE;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Most of the brain functions are based on interactions between neuronal assemblies distributed within and across distinct cerebral regions. A major challenge in neuroscience is to identify these networks from neuroimaging data. In this paper, we investigate the brain connectivity during a specific cognitive task: spelling the name of an object represented on a picture. By using high-resolution electroencephalography (hr-EEG) and phase synchrony analysis combined with graph theory-based analysis, we show that the topographic distribution of the phase synchrony and the graph parameters are very powerful tools to disclose the activated macro-regions involved in such a complex task.
引用
收藏
页码:191 / 194
页数:4
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