Journal
JOURNAL OF INTEGRATIVE NEUROSCIENCE
Volume 12, Issue 4, Pages 441-447Publisher
IMPERIAL COLLEGE PRESS
DOI: 10.1142/S021963521350026X
Keywords
Imagery movements; functional connectivity; brain networks; minimum spanning tree; EEG; beta band
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Funding
- Fondazione Banco di Sardegna [Prot. U7989.2013/AI.713.MGB Prat.2013.1237]
- Master and Back Program-Regione Autonoma della Sardegna
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The characterization of human neural activity during imaginary movement tasks represent an important challenge in order to develop er effective applications that allow the control of a machine. Yet methods based on brain network analysis of functional connectivity have been scarcely investigated. As a result we use graph theoretic methods to investigate the functional connectivity and brain network measures in order to characterize imagery hand movements in a set of healthy subjects. The results of the present study show that functional connectivity analysis and minimum spanning tree (MST) parameters allow to successfully discriminate between imagery hand movements (both right and left) and resting state conditions. In conclusion, this paper shows that brain network analysis of EEG functional connectivity could represent an efficient alternative to more classical local activation based approaches. Furthermore, it also suggests the shift toward methods based on the characterization of a limited set of fundamental functional connections that disclose salient network topological features.
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