Authors :
Darius Hadaegh
Volume/Issue :
Volume 11 - 2026, Issue 10 - October
Google Scholar :
https://tinyurl.com/crur3t6t
DOI :
https://doi.org/10.38124/ijisrt/26Oct921
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
This review combines EEG and fMRI studies of cognitive task completion with and without generative AI from the standpoint of the recent MIT “Your Brain on ChatGPT” study. Next, the results of these studies are used to make an inference about brain chemistry and brain structure through PET, MRS, and MRI/DTI studies of reward system functioning and intensive use of technological gadgets. The newly released OpenNeuro dataset ds008496 that provides EEG data collected when writing essays in conditions of interaction with various AI systems becomes the next step of this research line.
References :
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- Horowitz-Kraus, T., Kenett, Y. N., Link, D., Ashqar, E., & Farah, R. (2025). Lower engagement of cognitive control, attention, modulation networks and lower creativity in children while using ChatGPT: an fMRI study. bioRxiv 2025.11.07.687207.
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- OpenNeuro Dataset ds008496 v1.0.1. Brain Connectivity Based on EEG of Student Learning Processes Using Gen-AI. Kistijantoro, A. I., et al. (2026).
This review combines EEG and fMRI studies of cognitive task completion with and without generative AI from the standpoint of the recent MIT “Your Brain on ChatGPT” study. Next, the results of these studies are used to make an inference about brain chemistry and brain structure through PET, MRS, and MRI/DTI studies of reward system functioning and intensive use of technological gadgets. The newly released OpenNeuro dataset ds008496 that provides EEG data collected when writing essays in conditions of interaction with various AI systems becomes the next step of this research line.