Using a Virtual Cortical Module Implementing a Neural Field Model to Modulate Brain Rhythms in Parkinson's Disease

Overview

Journal Front Neurosci

Date 2010 Aug 24

PMID 20730081

Citations 9

Authors

Julien Modolo

Basabdatta Bhattacharya

Roderick Edwards

Julien Campagnaud

Alexandre Legros

Anne Beuter

Affiliations

Soon will be listed here.

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.

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