Investigating irregularly patterned deep brain stimulation signal design using biophysical models

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dc.citation.journalTitleFrontiers in Computational Neuroscienceen_US
dc.citation.volumeNumber9en_US
dc.contributor.authorSummerson, Samantha R.en_US
dc.contributor.authorAazhang, Behnaamen_US
dc.contributor.authorKemere, Caleben_US
dc.date.accessioned2015-06-30T16:22:57Zen_US
dc.date.available2015-06-30T16:22:57Zen_US
dc.date.issued2015-06en_US
dc.description.abstractParkinson's disease (PD) is a neurodegenerative disorder which follows from cell loss of dopaminergic neurons in the substantia nigra pars compacta (SNc), a nucleus in the basal ganglia (BG). Deep brain stimulation (DBS) is an electrical therapy that modulates the pathological activity to treat the motor symptoms of PD. Although this therapy is currently used in clinical practice, the sufficient conditions for therapeutic efficacy are unknown. In this work we develop a model of critical motor circuit structures in the brain using biophysical cell models as the base components and then evaluate performance of different DBS signals in this model to perform comparative studies of their efficacy. Biological models are an important tool for gaining insights into neural function and, in this case, serve as effective tools for investigating innovative new DBS paradigms. Experiments were performed using the hemi-parkinsonian rodent model to test the same set of signals, verifying the obedience of the model to physiological trends. We show that antidromic spiking from DBS of the subthalamic nucleus (STN) has a significant impact on cortical neural activity, which is frequency dependent and additionally modulated by the regularity of the stimulus pulse train used. Irregular spacing between stimulus pulses, where the amount of variability added is bounded, is shown to increase diversification of response of basal ganglia neurons and reduce entropic noise in cortical neurons, which may be fundamentally important to restoration of information flow in the motor circuit.en_US
dc.identifier.citationSummerson, Samantha R., Aazhang, Behnaam and Kemere, Caleb. "Investigating irregularly patterned deep brain stimulation signal design using biophysical models." <i>Frontiers in Computational Neuroscience,</i> 9, (2015) Frontiers Media S.A.: http://dx.doi.org/10.3389/fncom.2015.00078.en_US
dc.identifier.doihttp://dx.doi.org/10.3389/fncom.2015.00078en_US
dc.identifier.urihttps://hdl.handle.net/1911/80837en_US
dc.language.isoengen_US
dc.publisherFrontiers Media S.A.en_US
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subject.keyworddeep brain stimulationen_US
dc.subject.keywordParkinson's diseaseen_US
dc.subject.keywordantidromicen_US
dc.subject.keywordcomputational modelingen_US
dc.subject.keywordfiring rate entropyen_US
dc.titleInvestigating irregularly patterned deep brain stimulation signal design using biophysical modelsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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