Presenter Information

Rachel AbbeFollow

Major

Neuroscience

Anticipated Graduation Year

2025

Access Type

Open Access

Abstract

The default mode network (DMN) in the human brain is involved in a broad array of cognitive functions, including creative thinking. Transcranial Electrical Stimulation (TES) is a popular non-invasive brain stimulation. TES has three types: Transcranial Direct Current Stimulation (tDCS), Transcranial Alternating Current Stimulation (tACS), and Transcranial Random Noise Stimulation (tRNS). The mechanisms of each TES method still need to be better understood. This study proposes simulation of the DMN using HD-tDCS, alpha-HD-tACS, high-frequency HD-tRNS, and sham. We intend to reveal how the three TES methods impact DMN activity and connectivity using scalp electroencephalography (EEG). Co-Authored by: Kahiau Among, DJ Capetillo, August Decz, Maria Dima, Kyle Kovich, Emily Rokos, Robert G. Morrison.

Faculty Mentors & Instructors

Dr. Robert G. Morrison, Psychology; Dr. George K. Thiruvathukal, Computer Science

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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Enhancing Default Mode Network Connectivity: Experimental Neuroscience and Computational Methods

The default mode network (DMN) in the human brain is involved in a broad array of cognitive functions, including creative thinking. Transcranial Electrical Stimulation (TES) is a popular non-invasive brain stimulation. TES has three types: Transcranial Direct Current Stimulation (tDCS), Transcranial Alternating Current Stimulation (tACS), and Transcranial Random Noise Stimulation (tRNS). The mechanisms of each TES method still need to be better understood. This study proposes simulation of the DMN using HD-tDCS, alpha-HD-tACS, high-frequency HD-tRNS, and sham. We intend to reveal how the three TES methods impact DMN activity and connectivity using scalp electroencephalography (EEG). Co-Authored by: Kahiau Among, DJ Capetillo, August Decz, Maria Dima, Kyle Kovich, Emily Rokos, Robert G. Morrison.