Literature DB >> 26837751

Closed-loop firing rate regulation of two interacting excitatory and inhibitory neural populations of the basal ganglia.

Ihab Haidar1, William Pasillas-Lépine2, Antoine Chaillet1, Elena Panteley1,3, Stéphane Palfi4,5,6, Suhan Senova4,5,6.   

Abstract

This paper develops a new closed-loop firing rate regulation strategy for a population of neurons in the subthalamic nucleus, derived using a model-based analysis of the basal ganglia. The system is described using a firing rate model, in order to analyse the generation of beta-band oscillations. On this system, a proportional regulation of the firing rate reduces the gain of the subthalamo-pallidal loop in the parkinsonian case, thus impeding pathological oscillation generation. A filter with a well-chosen frequency is added to this proportional scheme, in order to avoid a potential instability of the feedback loop due to actuation and measurement delays. Our main result is a set of conditions on the parameters of the stimulation strategy that guarantee both its stability and a prescribed delay margin. A discussion on the applicability of the proposed method and a complete set of mathematical proofs is included.

Entities:  

Keywords:  Basal ganglia; Closed-loop stimulation; Deep brain stimulation; Firing rate models; Neural oscillations; Parkinson’s disease; Time-delay systems

Mesh:

Year:  2016        PMID: 26837751     DOI: 10.1007/s00422-015-0678-y

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  2 in total

1.  Simulation of Closed-Loop Deep Brain Stimulation Control Schemes for Suppression of Pathological Beta Oscillations in Parkinson's Disease.

Authors:  John E Fleming; Eleanor Dunn; Madeleine M Lowery
Journal:  Front Neurosci       Date:  2020-03-05       Impact factor: 4.677

2.  Phase-dependence of response curves to deep brain stimulation and their relationship: from essential tremor patient data to a Wilson-Cowan model.

Authors:  Benoit Duchet; Gihan Weerasinghe; Hayriye Cagnan; Peter Brown; Christian Bick; Rafal Bogacz
Journal:  J Math Neurosci       Date:  2020-03-30       Impact factor: 1.300

  2 in total

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