Abstract
It is debatable whether transcranial alternating current stimulation (tACS), administered with specific phase lags across task-relevant regions, would differently manipulate cognitive control performance. This study investigated the effects of individualized theta peak frequency tACS delivered in-phase and out-of-phase between the dorsal anterior cingulate cortex (dACC) and left dorsolateral prefrontal cortex (lDLPFC) on inhibitory control performance. Participants performed a Stroop task while receiving theta tACS over individually optimized high-definition electrode montages targeting the dACC and lDLPFC. Behavioral task performance and response-locked theta-band power in the electroencephalogram (EEG) were analyzed. Our results showed significantly reduced reaction times following out-of-phase tACS, accompanied by increased pre-response theta activity. These findings demonstrate the potential of out-of-phase theta tACS to modulate top-down control, highlighting the feasibility of utilizing phase-dependent tACS for enhancing inhibitory control performance.
| Original language | English |
|---|---|
| Title of host publication | 12th International Winter Conference on Brain-Computer Interface, BCI 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350309430 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 12th International Winter Conference on Brain-Computer Interface, BCI 2024 - Gangwon, Korea, Republic of Duration: 2024 Feb 26 → 2024 Feb 28 |
Publication series
| Name | International Winter Conference on Brain-Computer Interface, BCI |
|---|---|
| ISSN (Print) | 2572-7672 |
Conference
| Conference | 12th International Winter Conference on Brain-Computer Interface, BCI 2024 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Gangwon |
| Period | 24/2/26 → 24/2/28 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- EEG
- cognitive control
- dACC
- lDLPFC
- tACS
- time-frequency analysis
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Signal Processing
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