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• W41966487 abstract "The segregated regions of the mammalian cerebral cortex and thalamus form an extensive and complex network, whose structure and function are still only incompletely understood. The present article describes an application of the concepts of complex networks and random walks that allows the identification of non-random, highly structured features of thalamocortical connections, and their potential effects on dynamic interactions between cortical areas in the cat brain. Utilizing large-scale anatomical data sets of this thalamocortical system, we investigate uniform random walks in such a network by considering the steady state eigenvector of the respective stochastic matrix. It is shown that thalamocortical connections are organized in such a way as to guarantee strong correlation between the outdegree and occupancy rate (a stochastic measure potentially related to activation) of each cortical area. Possible organizational principles underlying this effect are identified and discussed. The relationship between the topology of structural connection patterns and cortical dynamics currently represents a significant challenge to brain theory. Numerous neuroanatomical studies have revealed that the pathways of the mammalian thalamocortical system exhibit specific patterns ranging in scale from interconnections linking whole brain regions to intra-areal patterns of connections between cell populations or individual cortical neurons. Comprehensive descriptions of large-scale anatomical patterns of cortical connectivity have been collated for several mammalian species (e.g. [1, 2]). Quantitative analysis has revealed that these patterns are neither completely regular nor completely random [3], but exhibit specific attributes, such as short path lengths combined with high clustering [4, 5], short wiring and distinctive hierarchical features [6]. The current article proposes a novel macroscopic approach to studying neuronal dynamics in cortical maps based on concepts from random walks (e.g. [7, 8]) and complex networks (e.g. [9, 10, 11]). Specifically, we examine the interactions between cortex and thalamus in the mammalian central nervous system. The cerebral cortex consists of a network of interconnected functionally specialized regions, each of which maintains reciprocal connections with a specific set of thalamic nuclei. These nuclei relay cortical inputs and outputs, and are thought to play a role in coordinating cortical interactions. The thalamocortical architecture is represented in terms of a complex network, obtained by assigning a node to each cortical region and thalamic nucleus (nodes) and" @default.
• W41966487 created "2016-06-24" @default.
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• W41966487 date "2006-02-17" @default.
• W41966487 modified "2023-09-27" @default.
• W41966487 title "STRUCTURED THALAMOCORTICAL CONNECTIVITY REVEALED BY RANDOM WALKS ON COMPLEX NETWORKS" @default.
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