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Neuromodulation of inhibitory control using phase-lagged transcranial alternating current stimulation

  • Yukyung Kim
  • , Je Hyeop Lee
  • , Je Choon Park
  • , Jeongwook Kwon
  • , Hyoungkyu Kim
  • , Jeehye Seo
  • , Byoung Kyong Min*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Transcranial alternating current stimulation (tACS) is a prominent non-invasive brain stimulation method for modulating neural oscillations and enhancing human cognitive function. This study aimed to investigate the effects of individualized theta tACS delivered in-phase and out-of-phase between the dorsal anterior cingulate cortex (dACC) and left dorsolateral prefrontal cortex (lDLPFC) during inhibitory control performance. Methods: The participants engaged in a Stroop task with phase-lagged theta tACS over individually optimized high-density electrode montages targeting the dACC and lDLPFC. We analyzed task performance, event-related potentials, and prestimulus electroencephalographic theta and alpha power. Results: We observed significantly reduced reaction times following out-of-phase tACS, accompanied by reduced frontocentral N1 and N2 amplitudes, enhanced parieto-occipital P1 amplitudes, and pronounced frontocentral late sustained potentials. Out-of-phase stimulation also resulted in significantly higher prestimulus frontocentral theta and alpha activity. Conclusions: These findings suggest that out-of-phase theta tACS potently modulates top-down inhibitory control, supporting the feasibility of phase-lagged tACS to enhance inhibitory control performance.

Original languageEnglish
Article number93
JournalJournal of NeuroEngineering and Rehabilitation
Volume21
Issue number1
DOIs
Publication statusPublished - 2024 Dec

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Keywords

  • EEG
  • Inhibitory control
  • Non-invasive neuromodulation
  • Phase-lagging
  • Transcranial alternating current stimulation

ASJC Scopus subject areas

  • Rehabilitation
  • Health Informatics

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