ArticlePLoS computational biology2020
A biophysical model of striatal microcircuits suggests gamma and beta oscillations interleaved at delta/theta frequencies mediate periodicity in motor control.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 37 citations in OpenAlex.
- Frequency-Dependent Modulation of the Prefrontal Cortex by Low-Intensity Focused Ultrasound: Impact on Mesolimbic Dopamine Signaling.bioRxiv : the preprint server for biology · 2025Article
- Altered oscillatory coupling reflects possible inhibitory interneuron dysfunction in Rett syndrome.medRxiv : the preprint server for health sciences · 2025Article
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- Early synaptic dysfunction of striatal parvalbumin interneurons in a mouse model of Parkinson's disease.iScience · 2024Article
- Basolateral amygdala oscillations enable fear learning in a biophysical model.bioRxiv : the preprint server for biology · 2024Article
- Utilising activity patterns of a complex biophysical network model to optimise intra-striatal deep brain stimulation.Scientific reports · 2024Article
- High-Frequency Local Field Potential Oscillations for Pigeons in Effective Turning.Animals : an open access journal from MDPI · 2024Article
- Data-driven and equation-free methods for neurological disorders: analysis and control of the striatum network.Frontiers in network physiology · 2024Article
- Rhythmic modulation of prediction errors: A top-down gating role for the beta-range in speech processing.PLoS computational biology · 2023Article
- Low-Field Magnetic Stimulation Alleviates MPTP-Induced Alterations in Motor Function and Dopaminergic Neurons in Male Mice.International journal of molecular sciences · 2023Article
- Functional Autapses Form in Striatal Parvalbumin Interneurons but not Medium Spiny Projection Neurons.Neuroscience bulletin · 2023Article
- Theta-gamma phase amplitude coupling in a hippocampal CA1 microcircuit.PLoS computational biology · 2023Article
- Translating Pathological Brain Activity Primers in Parkinson's Disease Research.Research (Washington, D.C.) · 2023Review
- Deep brain stimulation in the subthalamic nucleus for Parkinson's disease can restore dynamics of striatal networks.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- M-current induced Bogdanov-Takens bifurcation and switching of neuron excitability class.Journal of mathematical neuroscience · 2021Article
- Modeling nucleus accumbens : A Computational Model from Single Cell to Circuit Level.Journal of computational neuroscience · 2021Article
- Two Players in the Field: Hierarchical Model of Interaction between the Dopamine and Acetylcholine Signaling Systems in the Striatum.Biomedicines · 2021Review
- Interactions Between Motor Thalamic Field Potentials and Single-Unit Spiking Are Correlated With Behavior in Rats.Frontiers in neural circuits · 2020Article
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4 authors at 1 institution in 1 country.
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Abstract
Striatal oscillatory activity is associated with movement, reward, and decision-making, and observed in several interacting frequency bands. Local field potential recordings in rodent striatum show dopamine- and reward-dependent transitions between two states: a "spontaneous" state involving β (∼15-30 Hz) and low γ (∼40-60 Hz), and a state involving θ (∼4-8 Hz) and high γ (∼60-100 Hz) in response to dopaminergic agonism and reward. The mechanisms underlying these rhythmic dynamics, their interactions, and their functional consequences are not well understood. In this paper, we propose a biophysical model of striatal microcircuits that comprehensively describes the generation and interaction of these rhythms, as well as their modulation by dopamine. Building on previous modeling and experimental work suggesting that striatal projection neurons (SPNs) are capable of generating β oscillations, we show that networks of striatal fast-spiking interneurons (FSIs) are capable of generating δ/θ (ie, 2 to 6 Hz) and γ rhythms. Under simulated low dopaminergic tone our model FSI network produces low γ band oscillations, while under high dopaminergic tone the FSI network produces high γ band activity nested within a δ/θ oscillation. SPN networks produce β rhythms in both conditions, but under high dopaminergic tone, this β oscillation is interrupted by δ/θ-periodic bursts of γ-frequency FSI inhibition. Thus, in the high dopamine state, packets of FSI γ and SPN β alternate at a δ/θ timescale. In addition to a mechanistic explanation for previously observed rhythmic interactions and transitions, our model suggests a hypothesis as to how the relationship between dopamine and rhythmicity impacts motor function. We hypothesize that high dopamine-induced periodic FSI γ-rhythmic inhibition enables switching between β-rhythmic SPN cell assemblies representing the currently active motor program, and thus that dopamine facilitates movement in part by allowing for rapid, periodic shifts in motor program execution.
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