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A population level computational model of the basal ganglia that generates parkinsonian local field potential activity

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dc.contributor.author Tsirogiannis, GL en
dc.contributor.author Tagaris, GA en
dc.contributor.author Sakas, D en
dc.contributor.author Nikita, KS en
dc.date.accessioned 2014-03-01T01:32:31Z
dc.date.available 2014-03-01T01:32:31Z
dc.date.issued 2010 en
dc.identifier.issn 0340-1200 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20167
dc.subject Basal ganglia en
dc.subject Beta band peak en
dc.subject Dopamine modulation en
dc.subject Local field potentials en
dc.subject Parkinson's disease en
dc.subject Population level models en
dc.subject.classification Computer Science, Cybernetics en
dc.subject.classification Neurosciences en
dc.subject.other Basal ganglia en
dc.subject.other Computational model en
dc.subject.other Deep brain stimulation en
dc.subject.other Dopaminergic modulation en
dc.subject.other Experimental data en
dc.subject.other Human subjects en
dc.subject.other Local field potentials en
dc.subject.other Parkinson's disease en
dc.subject.other Pathophysiological en
dc.subject.other Pathophysiology en
dc.subject.other Population levels en
dc.subject.other Post-synaptic potentials en
dc.subject.other Power spectral density function en
dc.subject.other Subthalamic nucleus en
dc.subject.other Synaptic connections en
dc.subject.other Time course en
dc.subject.other Brain en
dc.subject.other Independent component analysis en
dc.subject.other Microelectrodes en
dc.subject.other Modulation en
dc.subject.other Spectral density en
dc.subject.other Diseases en
dc.subject.other Parkinsonia en
dc.subject.other aged en
dc.subject.other article en
dc.subject.other basal ganglion en
dc.subject.other biological model en
dc.subject.other brain depth stimulation en
dc.subject.other human en
dc.subject.other male en
dc.subject.other middle aged en
dc.subject.other parkinsonism en
dc.subject.other pathophysiology en
dc.subject.other physiology en
dc.subject.other synaptic potential en
dc.subject.other Aged en
dc.subject.other Basal Ganglia en
dc.subject.other Deep Brain Stimulation en
dc.subject.other Humans en
dc.subject.other Male en
dc.subject.other Middle Aged en
dc.subject.other Models, Neurological en
dc.subject.other Parkinsonian Disorders en
dc.subject.other Synaptic Potentials en
dc.title A population level computational model of the basal ganglia that generates parkinsonian local field potential activity en
heal.type journalArticle en
heal.identifier.primary 10.1007/s00422-009-0360-3 en
heal.identifier.secondary http://dx.doi.org/10.1007/s00422-009-0360-3 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract Recordings from the basal ganglia's subthalamic nucleus are acquired via microelectrodes immediately prior to the application of Deep Brain Stimulation (DBS) treatment for Parkinson's Disease (PD) to assist in the selection of the final point for the implantation of the DBS electrode. The acquired recordings reveal a persistent characteristic beta band peak in the power spectral density function of the Local Field Potential (LFP) signals. This peak is considered to lie at the core of the causality-effect relationships of the parkinsonian pathophysiology. Based on LFPs acquired from human subjects during DBS for PD, we constructed a computational model of the basal ganglia on the population level that generates LFPs to identify the critical pathophysiological alterations that lead to the expression of the beta band peak. To this end, we used experimental data reporting that the strengths of the synaptic connections are modified under dopamine depletion. The hypothesis that the altered dopaminergic modulation may affect both the amplitude and the time course of the postsynaptic potentials is validated by the model. The results suggest a pivotal role of both of these parameters to the pathophysiology of PD. © 2009 Springer-Verlag. en
heal.publisher SPRINGER en
heal.journalName Biological Cybernetics en
dc.identifier.doi 10.1007/s00422-009-0360-3 en
dc.identifier.isi ISI:000273786200006 en
dc.identifier.volume 102 en
dc.identifier.issue 2 en
dc.identifier.spage 155 en
dc.identifier.epage 176 en


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