Using a Virtual Cortical Module Implementing a Neural Field Model to Modulate Brain Rhythms in Parkinson's Disease
Identifieur interne : 000175 ( France/Analysis ); précédent : 000174; suivant : 000176Using a Virtual Cortical Module Implementing a Neural Field Model to Modulate Brain Rhythms in Parkinson's Disease
Auteurs : Julien Modolo [Canada] ; Basabdatta Bhattacharya [Royaume-Uni] ; Roderick Edwards [Canada] ; Julien Campagnaud [France] ; Alexandre Legros [Canada] ; Anne Beuter [France]Source :
- Frontiers in Neuroscience [ 1662-4548 ] ; 2010.
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.
Url:
DOI: 10.3389/fnins.2010.00045
PubMed: 20730081
PubMed Central: 2920509
Affiliations:
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PMC:2920509Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>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.</p>
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</div1>
</back>
</TEI>
<affiliations><list><country><li>Canada</li>
<li>France</li>
<li>Royaume-Uni</li>
</country>
</list>
<tree><country name="Canada"><noRegion><name sortKey="Modolo, Julien" sort="Modolo, Julien" uniqKey="Modolo J" first="Julien" last="Modolo">Julien Modolo</name>
</noRegion>
<name sortKey="Edwards, Roderick" sort="Edwards, Roderick" uniqKey="Edwards R" first="Roderick" last="Edwards">Roderick Edwards</name>
<name sortKey="Legros, Alexandre" sort="Legros, Alexandre" uniqKey="Legros A" first="Alexandre" last="Legros">Alexandre Legros</name>
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<country name="Royaume-Uni"><noRegion><name sortKey="Bhattacharya, Basabdatta" sort="Bhattacharya, Basabdatta" uniqKey="Bhattacharya B" first="Basabdatta" last="Bhattacharya">Basabdatta Bhattacharya</name>
</noRegion>
</country>
<country name="France"><noRegion><name sortKey="Campagnaud, Julien" sort="Campagnaud, Julien" uniqKey="Campagnaud J" first="Julien" last="Campagnaud">Julien Campagnaud</name>
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<name sortKey="Beuter, Anne" sort="Beuter, Anne" uniqKey="Beuter A" first="Anne" last="Beuter">Anne Beuter</name>
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</tree>
</affiliations>
</record>
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