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KMID : 1144120230130030407
Biomedical Engineering Letters
2023 Volume.13 No. 3 p.407 ~ p.415
Neuromodulatory feasibility of a current limiter-based tDCS device: a resting-state electroencephalography study
Lee Yun-Sung

Shim Mi-Seon
Choi Ga-Young
Kim Sang-Ho
Lim Wan-Su
Jeong Jin-Woo
Jung Young-Jin
Lee Jeong-Eon
Abstract
Recently, we introduced a current limiter-based novel transcranial direct-current stimulation (tDCS) device that does not generate significant tDCS-induced electrical artifacts, thereby facilitating simultaneous electroencephalography (EEG) measurement during tDCS application. In this study, we investigated the neuromodulatory effect of the tDCS device using resting-state EEG data measured during tDCS application in terms of EEG power spectral densities (PSD) and brain network indices (clustering coefficient and path length).

Resting-state EEG data were recorded from 10 healthy subjects during both eyes-open (EO) and eyes-closed (EC) states for each of five different conditions (baseline, sham, post-sham, tDCS, and post-tDCS). In the tDCS condition, tDCS was applied for 12 min with a current intensity of 1.5 mA, whereas tDCS was applied only for the first 30 s in the sham condition. EEG PSD and brain network indices were computed for the alpha frequency band most closely associated with resting-state EEG.

Both alpha PSD and network indices were found to significantly increase during and after tDCS application compared to those of the baseline condition in the EO state, but not in the EC state owing to the ceiling effect. Our results demonstrate the neuromodulatory effect of the tDCS device that does not generate significant tDCS-induced electrical artifacts, thereby allowing simultaneous measurement of electrical brain activity.

We expect our novel tDCS device to be practically useful in exploring the impact of tDCS on neuromodulation more precisely using ongoing EEG data simultaneously measured during tDCS application.
KEYWORD
Transcranial direct-current stimulation (tDCS), Resting-state electroencephalography, Alpha frequency band, Power spectral density (PSD), Brain network
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