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A STUDY ON BRAINWAVE PATTERNS AND PSYCHIC PHENOMENA: AN AI-DRIVEN COGNITIVE NEUROSCIENCE STUDY OF INTUITION AND PRECOGNITION

Varsha A Malagi

Acta Innovations October 30, 2026 DOI: 10.62441/actainnovations.vi.2722 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study using EEG and machine learning Peer reviewed
Sample size 200
Population 200 individuals performing precognition and controlled intuition tasks
Key findings Certain brainwave frequencies were strongly associated with successful performance on intuitive tasks, while results for precognition tasks were inconclusive. The authors report theta-gamma interaction patterns during reported intuitive ideas and state that the findings do not prove precognition but point to a neural basis for intuition.

Abstract

Using state-of-the-art cognitive neuroscience methodologies driven by artificial intelligence, this study explores the connection between brainwave patterns and alleged paranormal occurrences, particularly precognition and intuition. We collected electroencephalogram (EEG) data from 200 individuals while they were doing precognition and controlled intuition tasks. The gathered data was analysed using machine learning algorithms and pattern identification techniques. The results show that there are strong connections between certain brainwave frequencies and being able to do intuitive tasks successfully. Nevertheless, results for tasks involving precognition were not conclusive. New patterns in the interplay between theta and gamma waves during reported intuitive ideas were uncovered by the AI study. These results do not prove precognition, but they do point to a brain foundation for intuition. Both the potential of AI to further cognitive neuroscience research and our knowledge of the cognitive processes underpinning intuition are enhanced by this work. To better understand these events and their ramifications, as well as to improve the approach for examining them, further research is required.