Cholinergic modulation supports dynamic switching of resting state networks through selective DMN suppression

0586902 - ÚI 2025 RIV US eng J - Článek v odborném periodiku
Šanda, Pavel - Hlinka, Jaroslav - van der Berg, M. - Škoch, A. - Bazhenov, M. - Keliris, G. A. - Krishnan, G. P.
Cholinergic modulation supports dynamic switching of resting state networks through selective DMN suppression.
PLoS Computational Biology. Roč. 20, č. 6 (2024), č. článku e1012099. ISSN 1553-734X. E-ISSN 1553-7358
Grant CEP: GA ČR(CZ) GA21-32608S
Institucionální podpora: RVO:67985807
Klíčová slova: Spiking Neural Networks * Cholinergic Neuromodulation * Default Mode Network * Functional Connectivity
Obor OECD: Neurosciences (including psychophysiology
Impakt faktor: 4.3, rok: 2022
Způsob publikování: Open access
https://doi.org/10.1371/journal.pcbi.1012099

Brain activity during the resting state is widely used to examine brain organization, cognition and alterations in disease states. While it is known that neuromodulation and the state of alertness impact resting-state activity, neural mechanisms behind such modulation of resting-state activity are unknown. In this work, we used a computational model to demonstrate that change in excitability and recurrent connections, due to cholinergic modulation, impacts resting-state activity. The results of such modulation in the model match closely with experimental work on direct cholinergic modulation of Default Mode Network (DMN) in rodents. We further extended our study to the human connectome derived from diffusion-weighted MRI. In human resting-state simulations, an increase in cholinergic input resulted in a brain-wide reduction of functional connectivity. Furthermore, selective cholinergic modulation of DMN closely captured experimentally observed transitions between the baseline resting state and states with suppressed DMN fluctuations associated with attention to external tasks. Our study thus provides insight into potential neural mechanisms for the effects of cholinergic neuromodulation on resting-state activity and its dynamics.
Trvalý link: https://hdl.handle.net/11104/0354275