Understanding Cerebellum Granular Layer Network Computations through Mathematical Reconstructions of Evoked Local Field Potentials

Harilal Parasuram, Bipin Nair, Giovanni Naldi, Egidio D'Angelo, Shyam Diwakar

Research output: Contribution to journalArticle

Abstract

Background: The 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.

Methods: Point 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.

Results: The 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.

Conclusion: Our present study utilizes available knowledge on known mechanisms in a single cell and associates network function to population responses.

Original languageEnglish
Pages (from-to)11-24
Number of pages14
JournalAnnals of Neurosciences
Volume25
Issue number1
DOIs
Publication statusPublished - Apr 2018

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Cerebellum
Touch
Neurons
Population
Cerebellar Diseases
Cerebellar Ataxia
Body Regions
Wistar Rats
Brain

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Understanding Cerebellum Granular Layer Network Computations through Mathematical Reconstructions of Evoked Local Field Potentials. / Parasuram, Harilal; Nair, Bipin; Naldi, Giovanni; D'Angelo, Egidio; Diwakar, Shyam.

In: Annals of Neurosciences, Vol. 25, No. 1, 04.2018, p. 11-24.

Research output: Contribution to journalArticle

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