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Neural Signatures of AI-Assisted Cognition: EEG Profiles of AI Users and Non-Users and Implications for Brain Chemistry and Structure


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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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.

Paper Submission Last Date
30 - November - 2026

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