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Studying Plasticity Effects in Cerebellum Granular Layer Micro Circuitry using local Field Potential Reconstruction

Publication Type : Conference Paper

Thematic Areas : Learning-Technologies, Medical Sciences, Biotech

Publisher : Proceedings of International symposium on Neurosciences & XXXI Annual Conference of Indian Academy of Neurosciences, University of Allahabad, Allahabad,.

Source : Proceedings of International symposium on Neurosciences & XXXI Annual Conference of Indian Academy of Neurosciences, University of Allahabad, Allahabad, 2013.

Url : https://www.researchgate.net/publication/274721844_Studying_plasticity_effects_in_cerebellum_granular_layer_micro_circuitry_using_local_field_potential_reconstruction

Campus : Amritapuri

School : School of Biotechnology

Center : Amrita Mind Brain Center, Biotechnology, Computational Neuroscience and Neurophysiology

Department : Neurosurgery, Computational Neuroscience Laboratory, biotechnology

Verified : Yes

Year : 2013

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.

Cite this Research Publication : Harilal Parasuram, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Studying plasticity effects in cerebellum granular layer micro circuitry using local field potential reconstruction”, in Proceedings of International symposium on Neurosciences & XXXI Annual Conference of Indian Academy of Neurosciences, University of Allahabad, Allahabad, 2013.

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