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Abstract #3387

Closed-Loop tACS-fMRI: Online Optimization of tACS Stimulation to Enhance Fronto-parietal Connectivity 

Beni Mulyana1,2, Aki Tsuchiyagaito1, Jared Smith1, Masaya Misaki1, Samuel Cheng2, Martin Paulus1, Hamed Ekhtiari1, and Jerzy Bodurka1
1Laureate Institute for Brain Research, Tulsa, OK, United States, 2Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, United States

We designed a closed-loop concurrent transcranial alternating current stimulation and functional MRI (tACS-fMRI) to optimize fronto-parietal fMRI connectivity. Capacity for modulating fMRI connectivity are highly dependent on the transcranial electric stimulation (tES) parameters such as electric current frequency and phase. We proposed closed-loop tACS-fMRI optimization to search and find the tACS parameters resulting in the highest frontoparietal connectivity. Comparing to control group, experimental group shows an increased task-related frontoparietal functional connectivity (FC) during the training runs. The improvements in working memory was observed in participants in experimental tACS group (testing vs baseline run, 2-back task).

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