ArticlePLoS computational biology2023
Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity.
Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- The electric brain: approach to suboptimal DBS parameters.Clinical parkinsonism & related disorders · 2026Review
- A Python toolbox for neural circuit parameter inference.NPJ systems biology and applications · 2025Article
- Amplifying post-stimulation oscillatory dynamics by engaging synaptic plasticity with transcranial alternating current stimulation.Frontiers in network physiology · 2025Article
- Time delays in computational models of neuronal and synaptic dynamics.Frontiers in computational neuroscience · 2025Article
- Predicting an EEG-Based hypnotic time estimation with non-linear kernels of support vector machine algorithm.Cognitive neurodynamics · 2024Article
- Synaptic reorganization of synchronized neuronal networks with synaptic weight and structural plasticity.PLoS computational biology · 2024Article
- Emergence of complex oscillatory dynamics in the neuronal networks with long activity time of inhibitory synapses.iScience · 2024Article
- Synchronization of delayed coupled neurons with multiple synaptic connections.Cognitive neurodynamics · 2024Article
- Coordinated reset stimulation of plastic neural networks with spatially dependent synaptic connections.Frontiers in network physiology · 2024Article
- Dynamics of parkinsonian oscillations mediated by transmission delays in a mean-field model of the basal ganglia.Frontiers in cellular neuroscience · 2024Article
- Editorial: Neuromodulation using spatiotemporally complex patterns.Frontiers in neuroinformatics · 2024Article
- Adaptive Stimulations in a Biophysical Network Model of Parkinson's Disease.International journal of molecular sciences · 2023Article
- Rescue subthalamic stimulation after unsatisfactory outcome of pallidal stimulation in Parkinson's disease: a case series and review.Frontiers in aging neuroscience · 2023Article
- Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: anFrontiers in computational neuroscience · 2023Article
- Targeted neuroplasticity in spatiotemporally patterned invasive neuromodulation therapies for improving clinical outcomes.Frontiers in neuroinformatics · 2023Article
- Efficient suppression of parkinsonian beta oscillations in a closed-loop model of deep brain stimulation with amplitude modulation.Frontiers in human neuroscience · 2022Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The synaptic organization of the brain is constantly modified by activity-dependent synaptic plasticity. In several neurological disorders, abnormal neuronal activity and pathological synaptic connectivity may significantly impair normal brain function. Reorganization of neuronal circuits by therapeutic stimulation has the potential to restore normal brain dynamics. Increasing evidence suggests that the temporal stimulation pattern crucially determines the long-lasting therapeutic effects of stimulation. Here, we tested whether a specific pattern of brain stimulation can enable the suppression of pathologically strong inter-population synaptic connectivity through spike-timing-dependent plasticity (STDP). More specifically, we tested how introducing a time shift between stimuli delivered to two interacting populations of neurons can effectively decouple them. To that end, we first used a tractable model, i.e., two bidirectionally coupled leaky integrate-and-fire (LIF) neurons, to theoretically analyze the optimal range of stimulation frequency and time shift for decoupling. We then extended our results to two reciprocally connected neuronal populations (modules) where inter-population delayed connections were modified by STDP. As predicted by the theoretical results, appropriately time-shifted stimulation causes a decoupling of the two-module system through STDP, i.e., by unlearning pathologically strong synaptic interactions between the two populations. Based on the overall topology of the connections, the decoupling of the two modules, in turn, causes a desynchronization of the populations that outlasts the cessation of stimulation. Decoupling effects of the time-shifted stimulation can be realized by time-shifted burst stimulation as well as time-shifted continuous simulation. Our results provide insight into the further optimization of a variety of multichannel stimulation protocols aiming at a therapeutic reshaping of diseased brain networks.
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