Effects of Multisession High-Definition Transcranial Direct Current Stimulation on Resting-State Brain Network Connectivity and Efficiency Under Running-Induced Fatigue

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 33; pp. 2170 - 2179
• Main Authors: Yu, Changxiao, Zhan, Jianglong, Shen, Bin, Zhou, Junhong, Fu, Weijie
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2025
• Subjects: Adult; Brain - physiology; Brain - physiopathology; brain network; Central nervous system; Double-Blind Method; Electrodes; Electroencephalography; Fatigue; Fatigue - physiopathology; functional connectivity; Heart Rate; Humans; Male; Motors; Nerve Net - physiology; Nerve Net - physiopathology; neural efficiency; neuronal excitability; Protocols; Recording; Rest; Running - physiology; Somatosensory; Sports; Transcranial direct current stimulation; Transcranial Direct Current Stimulation - methods; Young Adult
• ISSN: 1534-4320; 1558-0210; 1558-0210
• DOI: 10.1109/TNSRE.2025.3574318

This study aimed to investigate the effects of five-session high-definition transcranial direct current stimulation (HD-tDCS) on resting-state brain network connectivity and efficiency under running-induced fatigue. This double-masked, randomized, and sham-controlled study involved 24 male adults randomly assigned to the HD-tDCS or sham-tDCS group. Participants completed a running-induced fatigue protocol at a personalized running speed before and after the intervention, and heart rate (HR) and Borg rating of perceived exertion (RPE) were monitored. Resting-state electroencephalography (EEG) signals from 28 channels were recorded before the intervention and after fatigue was induced. Brain network connectivity was characterized using average functional connectivity measured using the phase locking value, and network efficiency was assessed using graph theoretical indices. Compared with the sham-tDCS group, the HD-tDCS group showed significantly increased averaged functional connectivity (<inline-formula> <tex-math notation="LaTeX">{p} =0.019 </tex-math></inline-formula>), clustering coefficient (<inline-formula> <tex-math notation="LaTeX">{p} =0.036 </tex-math></inline-formula>), and local efficiency (<inline-formula> <tex-math notation="LaTeX">{p} =0.020 </tex-math></inline-formula>) in the theta band, and the global efficiency (<inline-formula> <tex-math notation="LaTeX">{p} =0.020 </tex-math></inline-formula>) in the gamma band relative to the baseline values. The <inline-formula> <tex-math notation="LaTeX">\Delta </tex-math></inline-formula>HR (<inline-formula> <tex-math notation="LaTeX">{p} \lt 0.001 </tex-math></inline-formula>) and <inline-formula> <tex-math notation="LaTeX">\Delta </tex-math></inline-formula>RPE values (<inline-formula> <tex-math notation="LaTeX">{p} =0.019 </tex-math></inline-formula>) significantly decreased in the HD-tDCS group relative to sham-tDCS group and baseline values. Multiple sessions of anodal HD-tDCS targeting the primary motor cortex can enhance resting-state brain network connectivity and efficiency in the theta and gamma bands under running-induced fatigue, and reduce the perceived effort during running.