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 |