TY - JOUR

T1 - Electrophysiological signatures of resting state networks under new environmental conditions

AU - Bocharov, Andrey V

AU - Savostyanov, Alexander N

AU - Tamozhnikov, Sergey S

AU - Karpova, Alexandra G

AU - Milakhina, Natalya S

AU - Zavarzin, Evgeny A

AU - Saprigyn, Alexander E

AU - Knyazev, Gennady G

N1 - Funding: The study was supported by the Russian Science Foundation under Grant № 22–15-00142. Copyright © 2022. Published by Elsevier B.V.

PY - 2023/1/18

Y1 - 2023/1/18

N2 - It is assumed that cognitive processes are provided by the regulatory interactions of different brain networks. The three most stable resting state networks, among which the default mode network (DMN), the central executive network (CEN) and the salience network (SN) are considered to be the key neurocognitive networks for understanding higher cognitive functions. Peculiarities of changes in the connectivity of resting state networks of an individual entering a new environment and after a year of adaptation in this environment remain poorly studied. The aim of this study was to investigate the peculiarities of the connectivity of resting state networks calculated in EEG data in students right after moving to an unfamiliar environment and one year after moving. 128-channel EEGs were recorded in the resting state in 45 students (all men) aged from 18 to 29 years, who moved to the North region of Russia (Yakutsk, Republic of Sakha (Yakutia)). Resting state networks were calculated by the seed-based method. The subjects had increased SN connectivity with the sensorimotor cortex and the posterior node of DMN (posterior cingulate cortex and precuneus) in the condition when they were exposed to a new unfamiliar environment, compared to the condition after a year in the same environment. In general, the obtained data are consistent with the notion of increased SN functioning when encountering new significant stimuli and tasks, i.e. new environmental conditions, and the representation of SN as closely related to the function of homeostasis regulation according to organism's internal goals and environmental requirements.

AB - It is assumed that cognitive processes are provided by the regulatory interactions of different brain networks. The three most stable resting state networks, among which the default mode network (DMN), the central executive network (CEN) and the salience network (SN) are considered to be the key neurocognitive networks for understanding higher cognitive functions. Peculiarities of changes in the connectivity of resting state networks of an individual entering a new environment and after a year of adaptation in this environment remain poorly studied. The aim of this study was to investigate the peculiarities of the connectivity of resting state networks calculated in EEG data in students right after moving to an unfamiliar environment and one year after moving. 128-channel EEGs were recorded in the resting state in 45 students (all men) aged from 18 to 29 years, who moved to the North region of Russia (Yakutsk, Republic of Sakha (Yakutia)). Resting state networks were calculated by the seed-based method. The subjects had increased SN connectivity with the sensorimotor cortex and the posterior node of DMN (posterior cingulate cortex and precuneus) in the condition when they were exposed to a new unfamiliar environment, compared to the condition after a year in the same environment. In general, the obtained data are consistent with the notion of increased SN functioning when encountering new significant stimuli and tasks, i.e. new environmental conditions, and the representation of SN as closely related to the function of homeostasis regulation according to organism's internal goals and environmental requirements.

KW - Male

KW - Humans

KW - Brain Mapping/methods

KW - Magnetic Resonance Imaging/methods

KW - Brain/physiology

KW - Cognition

KW - Gyrus Cinguli/physiology

KW - Sensorimotor Cortex

KW - Nerve Net/physiology

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85145424444&origin=inward&txGid=c9d8d6e9887577d3ce2a59e1120b4e12

U2 - 10.1016/j.neulet.2022.137012

DO - 10.1016/j.neulet.2022.137012

M3 - Article

C2 - 36521645

VL - 794

JO - Neuroscience Letters

JF - Neuroscience Letters

SN - 0304-3940

M1 - 137012

ER -