ArticleAnnals of neurosciences2018
Understanding Cerebellum Granular Layer Network Computations through Mathematical Reconstructions of Evoked Local Field Potentials.
Article in Annals of neurosciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Direct Outputs from the Cerebellum to the Brainstem and Diencephalon in Mammals.Cerebellum (London, England) · 2024Pooled it
- Polarity-dependent modulation of sensory circuits by cerebellar tDCS: local and distant effects.Scientific reports · 2026Article
- Polarity-dependent modulation of sensory circuits by cerebellar tDCS: local and distant effects.bioRxiv : the preprint server for biology · 2025Article
- Comprehensive analysis of the cerebellar vasculature of dromedary camels (Frontiers in veterinary science · 2024Article
- An updated investigation on the dromedary camel cerebellum (Camelus dromedarius) with special insight into the distribution of calcium-binding proteins.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe cerebellar granular layer input stage of cerebellum receives information from tactile and sensory regions of the body. The somatosensory activity in the cerebellar granular layer corresponds to sensory and tactile input has been observed by recording Local Field Potential (LFP) from the Crus-IIa regions of cerebellum in brain slices and in anesthetized animals. PURPOSE: In this paper, a detailed biophysical model of Wistar rat cerebellum granular layer network model and LFP modelling schemas were used to simulate circuit's evoked response.
methodsPoint Source Approximation and Line Source Approximation were used to reconstruct the network LFP. The LFP mechanism in in vitro was validated in network model and generated the in vivo LFP using the same mechanism.
resultsThe network simulations distinctly displayed the Trigeminal and Cortical (TC) wave components generated by 2 independent bursts implicating the generation of TC waves by 2 independent granule neuron populations. Induced plasticity was simulated to estimate granule neuron activation related population responses. As a prediction, cerebellar dysfunction (ataxia) was also studied using the model. Dysfunction at individual neurons in the network was affected by the population response.
conclusionOur present study utilizes available knowledge on known mechanisms in a single cell and associates network function to population responses.
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