ArticleFrontiers in systems neuroscience2015
Network models provide insights into how oriens-lacunosum-moleculare and bistratified cell interactions influence the power of local hippocampal CA1 theta oscillations.
Article in Frontiers in systems neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Hippocampal phase precession may be generated by chimera dynamics.Frontiers in neural circuits · 2025Article
- Theta-gamma phase amplitude coupling in a hippocampal CA1 microcircuit.PLoS computational biology · 2023Article
- A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits.Scientific reports · 2022Article
- Ten simple rules for creating a brand-new virtual academic meeting (even amid a pandemic).PLoS computational biology · 2020Article
- Neurostimulation stabilizes spiking neural networks by disrupting seizure-like oscillatory transitions.Scientific reports · 2020Article
- Perineuronal Nets, Inhibitory Interneurons, and Anxiety-Related Ventral Hippocampal Neuronal Oscillations Are Altered by Early Life Adversity.Biological psychiatry · 2019Article
- Molecular and Cellular Mechanisms Underlying Somatostatin-Based Signaling in Two Model Neural Networks, the Retina and the Hippocampus.International journal of molecular sciences · 2019Review
- Hippocampal Sequences During Exploration: Mechanisms and Functions.Frontiers in cellular neuroscience · 2019Review
- Inhibitory Interneurons Regulate Temporal Precision and Correlations in Cortical Circuits.Trends in neurosciences · 2018Review
- Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit.eLife · 2016Article
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- Combining Theory, Model, and Experiment to Explain How Intrinsic Theta Rhythms Are Generated in aneNeuroArticle
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Abstract
Hippocampal theta is a 4-12 Hz rhythm associated with episodic memory, and although it has been studied extensively, the cellular mechanisms underlying its generation are unclear. The complex interactions between different interneuron types, such as those between oriens-lacunosum-moleculare (OLM) interneurons and bistratified cells (BiCs), make their contribution to network rhythms difficult to determine experimentally. We created network models that are tied to experimental work at both cellular and network levels to explore how these interneuron interactions affect the power of local oscillations. Our cellular models were constrained with properties from patch clamp recordings in the CA1 region of an intact hippocampus preparation in vitro. Our network models are composed of three different types of interneurons: parvalbumin-positive (PV+) basket and axo-axonic cells (BC/AACs), PV+ BiCs, and somatostatin-positive OLM cells. Also included is a spatially extended pyramidal cell model to allow for a simplified local field potential representation, as well as experimentally-constrained, theta frequency synaptic inputs to the interneurons. The network size, connectivity, and synaptic properties were constrained with experimental data. To determine how the interactions between OLM cells and BiCs could affect local theta power, we explored how the number of OLM-BiC connections and connection strength affected local theta power. We found that our models operate in regimes that could be distinguished by whether OLM cells minimally or strongly affected the power of network theta oscillations due to balances that, respectively, allow compensatory effects or not. Inactivation of OLM cells could result in no change or even an increase in theta power. We predict that the dis-inhibitory effect of OLM cells to BiCs to pyramidal cell interactions plays a critical role in the resulting power of network theta oscillations. Overall, our network models reveal a dynamic interplay between different classes of interneurons in influencing local theta power.
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