Topographical Dynamics of Brain Connections for the Design of Asynchronous Brain-Computer Interfaces

Cedric Gouy-Pailler (1) , Sophie Achard (1) , Bertrand Rivet (2) , Christian Jutten (1) , Emmanuel Maby (3) , Antoine Souloumiac (2) , Marco Congedo (1)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 Commissariat à l'Energie Atomique
3 Dynamique Cérébrale et Cognition

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.

Domaines: Biotechnologies; Biotechnologie; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Cedric Gouy-Pailler, Sophie Achard, Bertrand Rivet, Christian Jutten, Emmanuel Maby, et al.. Topographical Dynamics of Brain Connections for the Design of Asynchronous Brain-Computer Interfaces. EMBC 2007 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2007, Lyon, France. pp.2520-2523, ⟨10.1109/IEMBS.2007.4352841⟩. ⟨hal-00174738⟩