Synchronized Brainwave Harmony and its Effect on Learning and Memory Improvement: An Integrative Approach between Neuroscience and Artificial Intelligent, Research Combining Brainwave Analysis and Machine Learning Techniques to Improve Understanding of Mental Process

Abstract

Objective: To assess the effectiveness of synchronized repetitive transcranial magnetic stimulation (rTMS) and transcranial alternating current stimulation (tACS), delta-band activity frequency that had an impact on cognitive performance.

Study Design: Randomized control trial study

Place and Duration of Study: This study was conducted at the Department of Anesthesia Techniques, University of Kut, Wasit, Iraq from 1st February 2023 to 31st July 2023.

Methods: The electroencephalography of cortical brainwave activity was done using a new platform designed to combine the approach of artificial intelligence with brain-computer interface technologies. The protocols that were tested using a randomized crossover design included five conditions: simultaneous rTMS with tACS at the peak, simultaneous rTMS with tACS at the trough, tACS and sham rTMS, sham screenings of tACS and sham screenings of rTMS, and sham tACS and sham rTMS.

Results: Trough-TMS synchronized rTMS-tACS also showed significant delta coherence, and enhanced memory performance in a task. The independent neural patterns related to improved cognition were defined with the help of machine learning models.

Conclusion: The phase-locked neurostimulation shows promise of cognitive enhancement and neurorehabilitation, which can become a good direction in research and clinical practice.