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Upregulation of a Small-World Brain Network Improves Inhibitory Control: An fNIRS Neurofeedback Training Study.

Authors :
Zeng, Lingwei
Wang, Chunchen
Sun, Kewei
Pu, Yue
Gao, Yuntao
Wang, Hui
Liu, Xufeng
Wen, Zhihong
Source :
Brain Sciences (2076-3425). Nov2023, Vol. 13 Issue 11, p1516. 17p.
Publication Year :
2023

Abstract

The aim of this study was to investigate the inner link between the small-world brain network and inhibitory control. Functional near-infrared spectroscopy (fNIRS) was used to construct a neurofeedback (NF) training system and regulate the frontal small-world brain network. The small-world network downregulation group (DOWN, n = 17) and the small-world network upregulation group (UP, n = 17) received five days of fNIRS-NF training and performed the color–word Stroop task before and after training. The behavioral and functional brain network topology results of both groups were analyzed by a repeated-measures analysis of variance (ANOVA), which showed that the upregulation training helped to improve inhibitory control. The upregulated small-world brain network exhibits an increase in the brain network regularization, links widely dispersed brain resources, and reduces the lateralization of brain functional networks between hemispheres. This suggests an inherent correlation between small-world functional brain networks and inhibitory control; moreover, dynamic optimization under cost efficiency trade-offs provides a neural basis for inhibitory control. Inhibitory control is not a simple function of a single brain region or connectivity but rather an emergent property of a broader network. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20763425
Volume :
13
Issue :
11
Database :
Academic Search Index
Journal :
Brain Sciences (2076-3425)
Publication Type :
Academic Journal
Accession number :
173827448
Full Text :
https://doi.org/10.3390/brainsci13111516