Clustered Desynchronization from High-Frequency Deep Brain Stimulation

While high-frequency deep brain stimulation is a well established treatment for Parkinson's disease, its underlying mechanisms remain elusive. Here, we show that two competing hypotheses, desynchronization and entrainment in a population of model neurons, may not be mutually exclusive. We find...

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Bibliographic Details
Published in:PLoS computational biology 2015-12, Vol.11 (12), p.e1004673-e1004673
Main Authors: Wilson, Dan, Moehlis, Jeff
Format: Article
Language:English
Subjects:
Animals
Brain stimulation
Cluster Analysis
Computational Biology
Computer Simulation
Cortical Synchronization - physiology
Deep Brain Stimulation
Health aspects
Humans
Hypotheses
Models, Neurological
Neural circuitry
Neural networks
Neurons
Neurons - physiology
Noise
Parkinson Disease
Parkinsons disease
Population
Probability
Studies
Thalamus - cytology
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Summary:While high-frequency deep brain stimulation is a well established treatment for Parkinson's disease, its underlying mechanisms remain elusive. Here, we show that two competing hypotheses, desynchronization and entrainment in a population of model neurons, may not be mutually exclusive. We find that in a noisy group of phase oscillators, high frequency perturbations can separate the population into multiple clusters, each with a nearly identical proportion of the overall population. This phenomenon can be understood by studying maps of the underlying deterministic system and is guaranteed to be observed for small noise strengths. When we apply this framework to populations of Type I and Type II neurons, we observe clustered desynchronization at many pulsing frequencies.
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1004673