Brain-Computer-Brain system for individualized transcranial alternating current stimulation with concurrent EEG recording: a healthy subject pilot study

Brain-Computer-Brain system for individualized transcranial alternating current stimulation with concurrent EEG recording: a healthy subject pilot study

46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Rosary Lim, Muyun Jiang, Kai Keng Ang, Xiaohao Lin, Cuntai Guan

31 December 2024

[1] R. Y. Lim, M. Jiang, K. K. Ang, X. Lin, and C. Guan, “2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),” in Brain-Computer-Brain System for Individualized Transcranial Alternating Current Stimulation  with Concurrent EEG Recording: A Healthy Subject Pilot Study, 2024

In this study, we introduce a novel brain-computer-brain (BCB) system to investigate the aftereffects of individualized, task-dependent transcranial alternating current stimulation (tACS) delivered to the motor cortex. While previous studies utilized either a generic stimulation frequency or matched it to an individual’s resting frequency (e.g. individual alpha frequency, iAF), our study employed a trial-by-trial tACS stimulation design wherein the stimulation frequency delivered matches the individual’s peak motor imagery (MI) performance frequency. 14 healthy subjects participated in both tACS and tACS-sham on separate days in a within-subject, randomized controlled design. We found that active tACS delivered to subjects receiving alpha (α)-tACS resulted in a decline in MI performance while that with tACS-sham did not differ significantly from baseline. However, subjects receiving beta (β)-tACS showed no significant difference in effect for both active tACS and tACS-sham conditions. These findings indirectly corroborated with that from literature advocating the notion of α tACS as functionally inhibitory; hence the consequential deterioration of MI performance observed only in α-tACS subjects. A more conclusive analysis will be conducted once more data is collected from this ongoing study.

Publisher Copyright

This research / project is supported by the A*STAR - Research Innovation and Enterprise 2020 (RIE2020) Advanced Manufacturing and Engineering (AME) Programmatic Fund
Grant Reference no. : A20G8b0102

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