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Optimal closed-loop deep brain stimulation using multiple independently controlled contacts
- Source :
- Weerasinghe, G, Duchet, B, Bick, C & Bogacz, R 2021, ' Optimal closed-loop deep brain stimulation using multiple independently controlled contacts ', PLoS Computational Biology, vol. 17, no. 8, e1009281 . https://doi.org/10.1371/journal.pcbi.1009281, PLoS Computational Biology, Vol 17, Iss 8, p e1009281 (2021), PLoS Computational Biology, PLoS Computational Biology, 17(8):e1009281. Public Library of Science
- Publication Year :
- 2021
-
Abstract
- Deep brain stimulation (DBS) is a well-established treatment option for a variety of neurological disorders, including Parkinson’s disease and essential tremor. The symptoms of these disorders are known to be associated with pathological synchronous neural activity in the basal ganglia and thalamus. It is hypothesised that DBS acts to desynchronise this activity, leading to an overall reduction in symptoms. Electrodes with multiple independently controllable contacts are a recent development in DBS technology which have the potential to target one or more pathological regions with greater precision, reducing side effects and potentially increasing both the efficacy and efficiency of the treatment. The increased complexity of these systems, however, motivates the need to understand the effects of DBS when applied to multiple regions or neural populations within the brain. On the basis of a theoretical model, our paper addresses the question of how to best apply DBS to multiple neural populations to maximally desynchronise brain activity. Central to this are analytical expressions, which we derive, that predict how the symptom severity should change when stimulation is applied. Using these expressions, we construct a closed-loop DBS strategy describing how stimulation should be delivered to individual contacts using the phases and amplitudes of feedback signals. We simulate our method and compare it against two others found in the literature: coordinated reset and phase-locked stimulation. We also investigate the conditions for which our strategy is expected to yield the most benefit.<br />Author summary In this paper we use computer models of brain tissue to derive an optimal control algorithm for a recently developed new generation of deep brain stimulation (DBS) devices. DBS is a treatment for a variety of neurological disorders including Parkinson’s disease, essential tremor, depression and pain. There is a growing amount of evidence to suggest that delivering stimulation according to feedback from patients, or closed-loop, has the potential to improve the efficacy, efficiency and side effects of the treatment. An important recent development in DBS technology are electrodes with multiple independently controllable contacts and this paper is a theoretical study into the effects of using this new technology. On the basis of a theoretical model, we devise a closed-loop strategy and address the question of how to best apply DBS across multiple contacts to maximally desynchronise neural populations. We demonstrate using numerical simulation that, for the systems we consider, our methods are more effective than two well-known alternatives, namely phase-locked stimulation and coordinated reset. We also predict that the benefits of using multiple contacts should depend strongly on the intrinsic neuronal response. The insights from this work should lead to a better understanding of how to implement and optimise closed-loop multi-contact DBS systems which in turn should lead to more effective and efficient DBS treatments.
- Subjects :
- Myoclonus
Computer science
Brain activity and meditation
Physiology
medicine.medical_treatment
Deep Brain Stimulation
Stimulation
Electrode Recording
Medical Conditions
Animal Cells
Basal ganglia
Medicine and Health Sciences
Electrochemistry
Biology (General)
Membrane Electrophysiology
Neurons
Brain Mapping
Movement Disorders
Ecology
Essential tremor
Simulation and Modeling
Neurodegenerative Diseases
Parkinson Disease
Electrophysiology
Chemistry
Bioassays and Physiological Analysis
Computational Theory and Mathematics
Brain Electrophysiology
Neurology
Modeling and Simulation
Physical Sciences
medicine.symptom
Cellular Types
Research Article
Deep brain stimulation
QH301-705.5
Essential Tremor
Thalamus
Neurophysiology
Surgical and Invasive Medical Procedures
Research and Analysis Methods
Cellular and Molecular Neuroscience
Signs and Symptoms
Genetics
medicine
Functional electrical stimulation
Humans
Molecular Biology
Ecology, Evolution, Behavior and Systematics
Functional Electrical Stimulation
Electrode Potentials
Electrophysiological Techniques
Biology and Life Sciences
Cell Biology
Models, Theoretical
medicine.disease
Cellular Neuroscience
Clinical Medicine
Neuroscience
Deep-Brain Stimulation
Subjects
Details
- Language :
- English
- ISSN :
- 1553734X
- Database :
- OpenAIRE
- Journal :
- Weerasinghe, G, Duchet, B, Bick, C & Bogacz, R 2021, ' Optimal closed-loop deep brain stimulation using multiple independently controlled contacts ', PLoS Computational Biology, vol. 17, no. 8, e1009281 . https://doi.org/10.1371/journal.pcbi.1009281, PLoS Computational Biology, Vol 17, Iss 8, p e1009281 (2021), PLoS Computational Biology, PLoS Computational Biology, 17(8):e1009281. Public Library of Science
- Accession number :
- edsair.doi.dedup.....128cd2f1cacdb2cd5529ebb89aab96d3