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A Computational Modeling Reveals That Strength of Inhibitory Input, E/I Balance, and Distance of Excitatory Input Modulate Thalamocortical Bursting Properties

Title
A Computational Modeling Reveals That Strength of Inhibitory Input, E/I Balance, and Distance of Excitatory Input Modulate Thalamocortical Bursting Properties
Authors
Park, SanggeonSohn, Jeong-WooCho, JeiwonHuh, Yeowool
Ewha Authors
조제원
Issue Date
2019
Journal Title
EXPERIMENTAL NEUROBIOLOGY
ISSN
1226-2560JCR Link

2093-8144JCR Link
Citation
EXPERIMENTAL NEUROBIOLOGY vol. 28, no. 5, pp. 568 - 577
Keywords
Computational biologyThalamusSensory gatingT-Type Calcium Channels
Publisher
KOREAN SOC BRAIN &

NEURAL SCIENCE, KOREAN SOC NEURODEGENERATIVE DISEASE
Indexed
SCIE; SCOPUS; KCI WOS
Document Type
Article
Abstract
The thalamus is a brain structure known to modulate sensory information before relaying to the cortex. The unique ability of a thalamocortical (TC) neuron to switch between the high frequency burst firing and single spike tonic firing has been implicated to have a key role in sensory modulation including pain. Of the two firing modes, burst firing, especially maintaining certain burst firing properties, was suggested to be critical in controlling nociceptive behaviors. Therefore, understanding the factors that influence burst firing properties would offer important insight into understanding sensory modulation. Using computational modeling, we investigated how the balance of excitatory and inhibitory inputs into a TC neuron influence TC bursting properties. We found that intensity of inhibitory inputs and the timing of excitatory input delivery control the dynamics of bursting properties. Then, to reflect a more realistic model, excitatory inputs delivered at different dendritic locations proximal, intermediate, or distal-of a TC neuron were also investigated. Interestingly excitatory input delivered into a distal dendrite, despite the furthest distance, had the strongest influence in shaping burst firing properties. suggesting that not all inputs equally contribute to modulating TC bursting properties. Overall, the results provide computational insights in understanding the detailed mechanism of the factors influencing temporal pattern of thalamic bursts.
DOI
10.5607/en.2019.28.5.568
Appears in Collections:
일반대학원 > 뇌·인지과학과 > Journal papers
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