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How to Cite This article

Pushpendra Singh, Saifullah Tipu, Sarika Katiyar, Shanthi Banishetty, Tanusree Dutta, Rupesh Ranjan, Stuart Hameroff & Anirban Bandyopadhyay (2025). Meninges act as a gate for EEG & DDG: Only MHz Frequencies can reflect from 14 layers, Defining Consciousness – A Clinical Study. Journal of Multiscale Neuroscience, 4(1): 64-83.

DOI:   https://doi.org/10.56280/1686004826​​​​​​

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Authors Affiliation

Pushpendra Singh

Sapiotechtronics lab, IKSHIMA Center, Indian Institute of Technology Mandi, Kamand -  Mandi, Himachal Pradesh, 175075 India

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Saifullah Tipu & Sarika Katiyar

Bhopal Memorial Hospital and Research Center (BMHRC), Department of Anaesthesia and Critical Care, Bhopal, India 462038

 

Shanthi Banishetty & Tanusree Dutta

Indian Institute of Management (IIM), Organisational Behavior & Human Resources Management, Ranchi, Jharkhand, 834008 India

 

Rupesh Ranjan

Bhopal Memorial Hospital and Research Center (BMHRC), Department of Psychiatry, Bhopal, India 462038

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Stuart Hameroff

Arizona Astrobiology Center, and Anesthesiology and Psychology, University of Arizona, Tucson, AZ, USA

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Anirban Bandyopadhyay

Materials and Nanoarchitectronics, MANA, National Institute for Materials Science (NIMS), Tsukuba, Japan 3050044

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 Received      15   March  2025           

 Accepted       21  March 2025             

 Online published      30  March  2025​​​​​​

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                  Meninges act as a gate for EEG & DDG: Only MHz Frequencies can reflect from 14 layers, Defining Consciousness – A Clinical Study

Original Research

Publication:   Journal of Multiscale Neuroscience     DOI: https://doi.org/10.56280/1686004826

 

Abstract

Despite traditional EEG signals being affected by physical activities like hand movements or facial expressions, and even perspiration, they have been considered indicators of consciousness for over a century and a half. 1Hz to 40Hz low frequency signals are assigned to human cognition, perception and emotion, no one asks, if key ionic brain signal leaks from cortex how brain carries out credible computation using ions? We challenge the 150-year belief that low-frequency neuron bursts are key to human consciousness; ions are diluted at 15 layers before reaching EEG probe. We argue that MHz electromagnetic signals govern key computing in the brain. In our study of 40 gastroenteric patients undergoing anaesthesia with propofol, we monitored transitions into and out of unconsciousness, comparing EEG with DDG signals. MHz bursts emit from all over brain scalp only at unconscious states tracked by BIS and disappear upon regaining consciousness. Strikingly, identical bursts appear in microtubule bundles of cultured hippocampal neurons, only when a neuron fires, so we attribute MHz bursts of anaesthetic patients to microtubule bundles in the neurons. We virtually created and simulated 15 layers between scalp and the cortex, to find that ionic signals (Hz to kHz) are disrupted but free to transmit, MHz signals partially transmit and primarily reflects back deep inside cortex, GHz signals are largely attenuated at small distance. Collectively, meninges create a 6–212 MHz gateway for critical brain signals from cortex to scalp partially and reflect back to cortex primarily. Anaesthesia may unlock this gate, leaking true MHz brain signals, until the meninges release transmitted anaesthetic molecules. The one-to-one match between single-neuron bursts and those in unconscious patients' foreheads suggests meninges gate’s 14 channel pathway to scalp, and positioning microtubules as the true neural correlates of consciousness.

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Keyword:  EEG, DDG, anaesthesia, cortex, scalp, meninges, consciousness

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Conflict of Interest

The authors declare no conflict of interest

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This article belongs to the Special Issue

     Atomic-resolution Scanning Microscopy of Neurons and Neuronal Networks

                Lead Editor:  Dr. Anirban Bandyopadhyay

                                                   Senior Scientist
                                    International Institute for Material Science, Japan

                
​Copyright: © 2025 The Author(s). Published by Neural Press.

This is an open access article distributed under the terms and conditions of the CC BY 4.0 license.

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Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, Neural Press™  or the editors, and the reviewers. Any product that may be evaluated in this article, or claim that made by its manufacturer, is not guaranteed or endorsed by the publisher.

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References:​

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