ArticleBrain stimulation
Theoretical principles of deep brain stimulation induced synaptic suppression.
Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 45 citations in OpenAlex.
- In silico model of basal ganglia deep brain stimulation in Parkinson's disease captures range of effective parameters for pathological beta power suppression.PLoS computational biology · 2026Article
- Neuroengineering Frontiers: A Selective Review of Neural Interfaces, Brain-Machine Interactions, and Artificial Intelligence in Neurodegenerative Diseases.Applied sciences (Basel, Switzerland) · 2025Article
- Frequency-dependent modulation of evoked potentials during GPi-DBS in pediatric dystonia.Scientific reports · 2025Article
- Computational analysis of two novel deep brain stimulation pulsing patterns on a thalamocortical network model of Parkinson's disease.Frontiers in network physiology · 2025Article
- The improved thalamo-cortical spiking network model of deep brain stimulation.Frontiers in computational neuroscience · 2025Article
- Biophysics of Frequency-Dependent Variation in Paresthesia and Pain Relief during Spinal Cord Stimulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Model-based closed-loop control of thalamic deep brain stimulation.Frontiers in network physiology · 2024Article
- Advances in Deep Brain Stimulation: From Mechanisms to Applications.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Review
- Neurophysiological mechanisms of deep brain stimulation across spatiotemporal resolutions.Brain : a journal of neurology · 2023Review
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- Evolving characterization of the human hyperdirect pathway.Brain structure & function · 2023Review
- Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity.PLoS computational biology · 2023Article
- Inferring stimulation induced short-term synaptic plasticity dynamics using novel dual optimization algorithm.PloS one · 2022Article
- Dynamic Oscillations Evoked by Subcallosal Cingulate Deep Brain Stimulation.Frontiers in neuroscience · 2022Article
- Subcortical Aphasia.Current neurology and neuroscience reports · 2021Review
- An Examination of Prospective Uses and Future Directions of Neuralink: The Brain-Machine Interface.Cureus · 2021Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundDeep brain stimulation (DBS) is a successful clinical therapy for a wide range of neurological disorders; however, the physiological mechanisms of DBS remain unresolved. While many different hypotheses currently exist, our analyses suggest that high frequency (∼100 Hz) stimulation-induced synaptic suppression represents the most basic concept that can be directly reconciled with experimental recordings of spiking activity in neurons that are being driven by DBS inputs.
objectiveThe goal of this project was to develop a simple model system to characterize the excitatory post-synaptic currents (EPSCs) and action potential signaling generated in a neuron that is strongly connected to pre-synaptic glutamatergic inputs that are being directly activated by DBS.
methodsWe used the Tsodyks-Markram (TM) phenomenological synapse model to represent depressing, facilitating, and pseudo-linear synapses driven by DBS over a wide range of stimulation frequencies. The EPSCs were then used as inputs to a leaky integrate-and-fire neuron model and we measured the DBS-triggered post-synaptic spiking activity.
resultsSynaptic suppression was a robust feature of high frequency stimulation, independent of the synapse type. As such, the TM equations were used to define alternative DBS pulsing strategies that maximized synaptic suppression with the minimum number of stimuli.
conclusionsSynaptic suppression provides a biophysical explanation to the intermittent, but still time-locked, post-synaptic firing characteristics commonly seen in DBS experimental recordings. Therefore, network models attempting to analyze or predict the effects of DBS on neural activity patterns should integrate synaptic suppression into their simulations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.