Microwave Encephalography (MWEG) for Non-Invasive Assessment of Cognitive States: Signal Processing and Functional Hemispheric Asymmetry
Year: 2026
Type: preprint
Abstract: This study presents a systematic investigation of the brain’s own microwave emissions in the 0.85–5.0 GHz range, aiming to validate microwave encephalography (MWEG) as a novel tool for cognitive state assessment. Early experiments (2016–2019) using comparisons with background noise, a control phantom, and different antenna types confirmed the endogenous origin of the recorded signals. In a 2021 experiment (118 measurements on one subject, right and left occipital areas), we observed a significant functional hemispheric asymmetry: the number of “substantial spikes” was significantly higher in darkness for the right hemisphere ( p < 0.001) and higher in light for the left hemisphere ( p < 0.001). A 2025 group study (three subjects) confirmed the asymmetry ( p < 0.05 for right, p < 0.01 for left). We describe the signal processing pipeline, including spike detection and statistical analysis. Two complementary mathematical models are presented: an energy-based model linking optical input to microwave emission via neural activity modes, and an information-based model interpreting spectral changes in terms of structural pattern overlap with memory engrams. An estimation of the physical dimensions of possible brain resonators (2–22 mm) is provided. The results are discussed in the context of hemispheric specialization and the information-commutation theory. This work opens new perspectives for developing low-cost, contactless brain monitoring systems.
Language: English
Subfield: Complementary and alternative medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7215122803