Visual Effect on Brain Connectome That Scales Feedforward and Feedback Processes of Aged Postural System During Unstable Stance

doi:10.3389/fnagi.2021.679412

中山醫學大學機構典藏 CSMUIR > 中山醫學大學研究成果 > 期刊論文 > Item 310902500/23939

Please use this identifier to cite or link to this item: https://ir.csmu.edu.tw:8080/ir/handle/310902500/23939

Title:	Visual Effect on Brain Connectome That Scales Feedforward and Feedback Processes of Aged Postural System During Unstable Stance
Authors:	Chen, YC;Huang, CC;Zhao, CG;Hwang, IS
Keywords:	human aging;EEG;posture balance;graph analysis;visual input
Date:	2021
Issue Date:	2022-08-05T09:45:17Z (UTC)
Publisher:	FRONTIERS MEDIA SA
ISSN:	1663-4365
Abstract:	Older adults with degenerative declines in sensory systems depend strongly on visual input for postural control. By connecting advanced neural imaging and a postural control model, this study investigated the visual effect on the brain functional network that regulates feedback and feedforward processes of the postural system in older adults under somatosensory perturbations. Thirty-six older adults conducted bilateral stance on a foam surface in the eyes-open (EO) and eyes-closed (EC) conditions while their center of pressure (COP) and scalp EEG were recorded. The stochastic COP trajectory was modeled with non-linear stabilogram diffusion analysis (SDA) to characterize shifts in postural control in a continuum of feedback and feedforward processes. The EEG network was analyzed with the phase-lag index (PLI) and minimum spanning tree (MST). The results indicated that visual input rebalanced feedforward and feedback processes for postural sway, resulting in a greater critical point of displacement (CD), short-term effective diffusion coefficients (D-s) and short-term exponent (H-s), but the smaller critical point of time (CT) and long-term exponent (H-l) for the EC state. The EC network demonstrated stronger frontoparietal-occipital connectivity but weaker fronto-tempo-motor connectivity of the theta (4-7 Hz), alpha (8-12 Hz), and beta (13-35 Hz) bands than did the EO network. MST analysis revealed generally greater leaf fraction and maximal betweenness centrality (BCmax) and kappa of the EC network, as compared with those of the EO network. In contrast, the EC network exhibited a smaller diameter and average eccentricity than those of the EO network. The modulation of long-term negative feedback gain of the aged postural system with visual occlusion was positively correlated with leaf fraction, BCmax, and kappa, but negatively correlated with the diameter and average eccentricity for all EEG sub-bands. In conclusion, the aged brain functional network in older adults is tuned to visual information for modulating long-term negative feedback of the postural system under somatosensory perturbations.
URI:	http://dx.doi.org/10.3389/fnagi.2021.679412 https://www.webofscience.com/wos/woscc/full-record/WOS:000683653000001 https://ir.csmu.edu.tw:8080/handle/310902500/23939
Relation:	FRONTIERS IN AGING NEUROSCIENCE ,2021,v13
Appears in Collections:	[中山醫學大學研究成果] 期刊論文

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