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Corticostriatal circuits and their role in disease
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB. University of Freiburg, Germany.
Lund University.
Lund University.
Lund Unversity.
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2015 (English)In: Frontiers in Neuroscience, ISSN 1662-4548, E-ISSN 1662-453X, Vol. 8, 31- p.Article in journal, Meeting abstract (Refereed) Published
Abstract [en]

The basal ganglia (BG) represent subcortical structures considered to be involved in action selection and decision making [1]. Dysfunction of the BG circuitry leads to many motor and cognitive disorders such as Parkinson’s disease (PD), Tourette syndrome, Huntington’s disease, obsessive compulsive disorder and many others. Therefore, we simultaneously recorded local field potentials (LFPs) in primary motor cortex and sensorimotor striatum to study features directly related to healthy versus pathological states such as Parkinson disease and levodopa-induced dyskinesia [2], [3]. The striatum, the input stage of the basal ganglia (BG), is an inhibitory network that contains several distinct cell types and receives massive excitatory inputs from the cortex. Cortex sends direct projections to the striatum, while striatum can affect cortex only indirectly through other BG nuclei and thalamus. Firstly we analyzed spectral characteristics of the obtained signals and observed that during dyskinesia, the most prominent feature was a relative power increase in the high gamma frequency range around 80 Hz, while for PD it was the beta frequency range. Secondly our preliminary results have shown that during both pathological states effective connectivity in terms of Granger causality is bidirectional with an accent on striatal influence on cortex. In the case of dyskinesia we have also found a specifically high increase in effective connectivity at 80 Hz. In order to further understand the 80-Hz phenomenon we have performed cross-frequency analysis across all states and both structures and observed characteristic patterns in the case of dyskinesia in both structures but not in the case of PD and healthy state. We have seen a large relative decrease in the modulation of the amplitude at 80Hz by the phase of low frequency oscillations (up to ~10Hz). It has been suggested that the activity of local neural populations is modulated according to the global neuronal dynamics in the way that populations oscillate and synchronize at lower frequencies and smaller ensembles are active at higher frequencies Our results suggest unexpectedly a lack of coupling between the low frequency activity of a larger population and the synchronized activity of a smaller group of neurons active at 80Hz.

Place, publisher, year, edition, pages
Cairns, Australia, 2015. Vol. 8, 31- p.
National Category
Biological Sciences Medical and Health Sciences Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-191561DOI: 10.3389/conf.fnins.2015.91.00017OAI: oai:DiVA.org:kth-191561DiVA: diva2:957392
Conference
Neuroinformatics 2015, Cairns, Australia, 20 Aug - 22 Aug, 2015
Note

QC 20160902

Available from: 2016-09-01 Created: 2016-09-01 Last updated: 2016-09-02Bibliographically approved

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Publisher's full texthttp://www.frontiersin.org/10.3389/conf.fnins.2015.91.00017/event_abstract

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Belic, JovanaHellgren Kotaleski, Jeanette
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