DocumentCode
1833356
Title
Topographical Dynamics of Brain Connections for the Design of Asynchronous Brain-Computer Interfaces
Author
Gouy-Pailler, C. ; Achard, S. ; Rivet, Bertrand ; Jutten, Christian ; Maby, E. ; Souloumiac, A. ; Congedo, M.
Author_Institution
UMR CNRS, Grenoble
fYear
2007
fDate
22-26 Aug. 2007
Firstpage
2520
Lastpage
2523
Abstract
This article presents a new processing method to design brain-computer interfaces (BCIs). It shows how to use the perturbations of the communication between different cortical areas due to a cognitive task. For this, the network of the cerebral connections is built from correlations between cortical areas at specific frequencies and is analyzed using graph theory. This allows us to describe the topological organisation of the networks using quantitative measures. This method is applied to an auditive steady-state evoked potentials experiment (dichotic binaural listening) and compared to a more classical method based on spectral filtering.
Keywords
auditory evoked potentials; brain; cognition; graph theory; medical computing; neurophysiology; user interfaces; asynchronous brain-computer interfaces; auditive steady-state evoked potentials; brain connections; cerebral connections; cognitive task; cortical areas; dichotic binaural listening; graph theory; topographical dynamics; topological organisation; Brain computer interfaces; Brain modeling; Complex networks; Design methodology; Filtering; Frequency synchronization; Graph theory; Process design; Signal processing; Steady-state; Brain; Brain Mapping; Cognition; Computers; Equipment Design; Evoked Potentials; Humans; Man-Machine Systems; Models, Neurological; Models, Statistical; Nerve Net; Neural Networks (Computer); Nonlinear Dynamics; User-Computer Interface;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location
Lyon
ISSN
1557-170X
Print_ISBN
978-1-4244-0787-3
Type
conf
DOI
10.1109/IEMBS.2007.4352841
Filename
4352841
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