Sharma, SK and Singh, SS and Haobijam, D and Malik, MZ and Singh, RKB (2019) Organization in Complex Brain Networks: Energy Distributions and Phase Shift. J Theor Biol, 476. pp. 30-35.

Text 4-s2.0-S0022519319302139-main.pdf Restricted to Registered users only Download (951Kb) | Request a copy

Abstract

The Hamiltonian function of a network, derived from the intrinsic distributions of nodes and edges, magnified by resolution parameter has information on the distribution of energy in the network. In brain networks, the Hamiltonian function follows hierarchical features reflecting a power-law behavior which can be a signature of self-organization. Further, the transition of three distinct phases driven by resolution parameter is observed which could correspond to various important brain states. This resolution parameter could thus reflect a key parameter that controls and balances the energy distribution in the brain network.

Item Type:	Article
Subjects:	Neurodegenerative Disorders Neuro-Oncological Disorders Neurocognitive Processes Neuronal Development and Regeneration Informatics and Imaging Genetics and Molecular Biology
Depositing User:	Dr. D.D. Lal
Date Deposited:	17 Jun 2019 07:19
Last Modified:	17 Jun 2019 07:19
URI:	http://nbrc.sciencecentral.in/id/eprint/494

Actions (login required)

View Item