Adaptation to Fluctuating Neuronal Signal Traffic for Brain Connectivity
Adaptation to Fluctuating Neuronal Signal Traffic for Brain Connectivity作者机构：Department of Biomedical Engineering University of Texas Austin USA Voltronics-Institute for Basic Research Psychopathology and Brain Philosophy Salzburg Austria
出 版 物：《Advances in Bioscience and Biotechnology》 (生命科学与技术进展（英文）)
年 卷 期：2023年第14卷第5期
页 面：237-244页
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
主 题：Brain Connectivity White Matter Neuronal Groups Gap Junctions
摘 要：Brain connectivity is commonly studied in terms of causal interaction or statistical dependency between brain regions. In this analysis paper, we draw attention to the constraining effect the dynamics of fiber tract connections may impose on neuronal signal traffic. We propose a model developed by Copelli and Kinouchi (l.c.) for a different purpose to safeguard signal transmission for brain connectivity by ensuring dynamic adaptation of signal reception to a wide frequency range of traffic flow over connecting fiber tracts. Gap junction connectivity would confer to neuronal groups the capacity of acting as collectives for dynamical adaptability to impinging neural traffic thereby forestalling traffic congestion and overload. It is suggested that applying this model to signal reception in brain connectivity would deliver the required functionality as a collective achievement of the interrelations between neurons and gap junctions, the latter regulated by glia.
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