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Dodecanogram (DDG): advancing EEG technology with a high-frequency brain activity measurement device
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Pushpendra Singh, Jhimli Sarkar, Parama Dey, Sounak Sarkar, Anindya Pattanayaka, Sudipa Nag, Sudeshna Pramanik, Komal Saxena, Soami Daya Krishnanda, Tanusree Dutta and Anirban Bandyopadhyay (2023). Dodecanogram (DDG): advancing EEG technology with a high-frequency brain activity measurement device.. Journal of Multiscale Neuroscience 3(1)
EEG measures electric potential changes in the scalp. Even though it has been associated with human thoughts, there has been no direct evidence. The problem with EEG is that it measures variations in current or electric potential in the millisecond time domain, where muscle movement strongly affects the readings. The millisecond time domain is equivalent to the kHz resonance signal generated by a dielectric resonator, and every single cell membrane resonates in this time range. So, the measurement of EEG could come simply from the skin and not from the brain. Therefore, we have replaced this 1875 technology with the dodecanogram, which reveals 12 frequency bands or 12 discrete time regions where brain activities are most significant. We measure brain activity using a stream of pulses and a logic analyzer that counts ultra-short pulses needed to emulate the brain's scalp potential changes. We have created another version of DDG where, using an array of RLC resonators, we sense the ultra-low-power electromagnetic radiation from different locations on the brain's surface. Since we measure signals from Hz to THz, covering 12 orders of time ranges as a property of dielectric resonance, unlike EEG, there is a high probability that the DDG signal originates from the brain. We have monitored DDG on an artificial organic brain replica 24/7 for over a year and on multiple human subjects, and the results are summarized here."
Conflict of Interest
The authors declare no conflict of interest
Copyright: © 2023 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.
This article belongs to the Special IssueThis article belongs to the Special Issue
Atomic-resolution Scanning Microscopy of Neurons and Neuronal Networks
Lead Editor: Dr. Anirban Bandyopadhyay
International Institute for Material Science, Japan