The selfish network: how the brain preserves behavioral function through shifts in neuronal network state.

Autor: Stroh A; Leibniz Institute for Resilience Research, Mainz, Germany; Institute of Pathophysiology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany. Electronic address: albrecht.stroh@lir-mainz.de., Schweiger S; Leibniz Institute for Resilience Research, Mainz, Germany; Institute of Human Genetics, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany; Institute of Molecular Biology (IMB), Mainz, Germany., Ramirez JM; Center for Integrative Brain Research at the Seattle Children's Research Institute, University of Washington, Seattle, USA., Tüscher O; Leibniz Institute for Resilience Research, Mainz, Germany; Institute of Molecular Biology (IMB), Mainz, Germany; Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany. Electronic address: oliver.tuescher@lir-mainz.de.
Jazyk: angličtina
Zdroj: Trends in neurosciences [Trends Neurosci] 2024 Apr; Vol. 47 (4), pp. 246-258. Date of Electronic Publication: 2024 Mar 13.
DOI: 10.1016/j.tins.2024.02.005
Abstrakt: Neuronal networks possess the ability to regulate their activity states in response to disruptions. How and when neuronal networks turn from physiological into pathological states, leading to the manifestation of neuropsychiatric disorders, remains largely unknown. Here, we propose that neuronal networks intrinsically maintain network stability even at the cost of neuronal loss. Despite the new stable state being potentially maladaptive, neural networks may not reverse back to states associated with better long-term outcomes. These maladaptive states are often associated with hyperactive neurons, marking the starting point for activity-dependent neurodegeneration. Transitions between network states may occur rapidly, and in discrete steps rather than continuously, particularly in neurodegenerative disorders. The self-stabilizing, metastable, and noncontinuous characteristics of these network states can be mathematically described as attractors. Maladaptive attractors may represent a distinct pathophysiological entity that could serve as a target for new therapies and for fostering resilience.
Competing Interests: Declaration of interests The authors declare no conflicts of interest.
(Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
Externí odkaz: