Dodecanogram (DDG): advancing EEG technology with a high-frequency brain activity measurement device
Open accessAbstract
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
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They have also developed a noninvasive extension of EEG, called DDG, for measuring very high-frequency electromagnetic signals emitted from the scalps of awake humans.
“They have also developed a noninvasive extension of EEG, called DDG (“dodecanogram”), for measuring very high-frequency electromagnetic signals—some putatively originating from MT resonances internal to neurons—emitted from the scalps of awake humans (Singh et al., 2023, 2024).”
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- Authors
- Singh, P.
- Affiliations
- National Institute for Materials Science (JP)
- Corresponding author
- Singh, P.
- ORCID
- Singh, P.
- Venue
- Journal of Multiscale Neuroscience
- Publisher
- Neural Press
- Published
- 2023-12-12
- Volume
- 3
- Issue
- 1
- Pages
- 13-26
- ISSN
- 2653-4983 (ISSN-L)
- OpenAlex
- W4389511573
- Cited by
- 17
- References
- 30
- Citations by year
- 2026: 7 · 2025: 3 · 2024: 6 · 2023: 1
- FWCI
- 2.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Journal of Multiscale Neuroscience (publishedVersion, cc-by)
- Institutional Repositories DataBase (IRDB) (submittedVersion)
- NIMS Materials Data Repository (submittedVersion)
- Materials Data Repository
- Funders
- Ministry of Education, India
- Scheme for Promotion of Academic and Research Collaboration
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- EEG, dielectric resonance, RLC resonator, logic analyzer, brain activity monitoring
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