title: Using a virtual cortical module implementing a neural field model to modulate brain rhythms in Parkinson's disease.
abstract: We propose a new method for selective modulation of cortical rhythms based on neural field theory, in which the activity of a cortical area is extensively monitored using a two-dimensional microelectrode array. The example of Parkinson's disease illustrates the proposed method, in which a neural field model is assumed to accurately describe experimentally recorded activity. In addition, we propose a new closed-loop stimulation signal that is both space- and time- dependent. This method is especially designed to specifically modulate a targeted brain rhythm, without interfering with other rhythms. A new class of neuroprosthetic devices is also proposed, in which the multielectrode array is seen as an artificial neural network interacting with biological tissue. Such a bio-inspired approach may provide a solution to optimize interactions between the stimulation device and the cortex aiming to attenuate or augment specific cortical rhythms. The next step will be to validate this new approach experimentally in patients with Parkinson's disease.
authors: Department of Medical Biophysics, Lawson Health Research Institute, University of Western Ontario London, ON, Canada.
authors: Julien
authors: J
authors: Modolo
authors: Basabdatta
authors: B
authors: Bhattacharya
authors: Roderick
authors: R
authors: Edwards
authors: Julien
authors: J
authors: Campagnaud
authors: Alexandre
authors: A
authors: Legros
authors: Anne
authors: A
authors: Beuter