From Brainwaves to Biomedicine: A Resonant Approach to Déjà Vu, Parkinson's, and Cance

This paper proposes a novel hypothesis linking electromagnetic resonance in the brain to déjà vu, Parkinson's disease, and cancer therapy. It suggests that déjà vu may result from resonance between internal brain waves and external electromagnetic stimuli, potentially triggering a sudden alpha-togamma brainwave transition. This phenomenon could open new avenues for non-invasive treatments. In Parkinson's, personalized EMF pulses analyzed via AI may counteract neural rhythm disturbances. For cancer, the theory posits that abnormal cell division emits distinct EM signatures that can be targeted using resonant-frequency therapies. A framework combining EEG, MEG, and fMRI, enhanced by AI, is proposed for mapping these signals. While still conceptual, this approach merges neuroscience, EM theory, and personalized medicine to inspire new research pathways.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-27
DOI
https://doi.org/10.5281/zenodo.15812366
Primary Topic
Electromagnetic Fields and Biological Effects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Brainwaves to Biomedicine: A Resonant Approach to Déjà Vu, Parkinson's, and Cance

Zenodo (CERN European Organization for Nuclear Research)
Electromagnetic Fields and Biological Effects
article

From Brainwaves to Biomedicine: A Resonant Approach to Déjà Vu, Parkinson's, and Cance

article en

Abstract

This paper proposes a novel hypothesis linking electromagnetic resonance in the brain to déjà vu, Parkinson's disease, and cancer therapy. It suggests that déjà vu may result from resonance between internal brain waves and external electromagnetic stimuli, potentially triggering a sudden alpha-togamma brainwave transition. This phenomenon could open new avenues for non-invasive treatments. In Parkinson's, personalized EMF pulses analyzed via AI may counteract neural rhythm disturbances. For cancer, the theory posits that abnormal cell division emits distinct EM signatures that can be targeted using resonant-frequency therapies. A framework combining EEG, MEG, and fMRI, enhanced by AI, is proposed for mapping these signals. While still conceptual, this approach merges neuroscience, EM theory, and personalized medicine to inspire new research pathways.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 67%
Electromagnetic Fields and Biological Effects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.