# Dodecanogram (DDG): Advancing EEG technology with a high- frequency brain activity measurement device

https://mdr.nims.go.jp/datasets/fcbd548e-efc3-4f5e-8fc6-4fb8a97a29b2

## File

- [Inventing the potential DDG submitted.docm](https://mdr.nims.go.jp/filesets/94dcc291-ec29-4300-97b9-2abf5ba25ded/download) ([Detail](https://mdr.nims.go.jp/filesets/94dcc291-ec29-4300-97b9-2abf5ba25ded.md))

## Id

fcbd548e-efc3-4f5e-8fc6-4fb8a97a29b2

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-01-21T06:35:57.161092Z

## Updated at

2025-01-22T03:30:34.933567Z

## Published at

2025-01-22T03:30:34.997202Z

## Doi

https://doi.org/10.48505/nims.5288

## First published url

https://doi.org/10.56280/1600841751

## Date published

2023-12-12

## Recorded date published



## Resource type

journal_article

## Manuscript type

authors_original

## Collection



## Title

- title: 'Dodecanogram (DDG): Advancing EEG technology with a high- frequency brain
    activity measurement device'
  title_type: original
  lang: en

## Description

- description: 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 any 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 advanced EEG technology with the dodecanogram
    (DDG), 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 brain scalp
    potential changes. We have created another version of DDG where, using an array
    of RLC (resistor-inductor-capacitor) 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 may truly originate from the brain. We have monitored DDG on an artificial
    organic brain replica 24/7 for over a year and on multiple human subjects, before
    and after meditation and concluded that most cognitive, perceptive and emotional
    bursts occur around 200-700 nanoseconds, not milliseconds, as it was believed
    for 150 years of EEG era.
  description_type: abstract
  lang: und

## Creator

- name: P. Singh
  role: author
  orcid: https://orcid.org/0000-0002-7274-6683
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: J.S. Manna
  role: author
- name: P. Dey
  role: author
- name: S. Sarkar
  role: author
- name: A. Pattanayaka
  role: author
- name: S. Nag
  role: author
- name: S, Pramanik
  role: author
- name: K. Saxena
  role: author
  organization: National Institute for Materials Science
- name: S.D. Krishnananda
  role: author
- name: T. Dutta
  role: author
- name: A. Bandyopadhyay
  role: author
  orcid: https://orcid.org/0000-0002-8823-4914
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher

organization: Neural Press

## Managing organization



## Keyword

- subject: EEG
  schema: not_defined
- subject: Dodecanogram
  schema: not_defined
- subject: high frequency
  schema: not_defined
- subject: brain
  schema: not_defined
- subject: human subject
  schema: not_defined

## Rights

- identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Journal of Multiscale Neuroscience
  issn: '26534983'
  volume: '3'
  issue: '1'
  start_page: 13
  end_page: 26

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## Measurement method



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## Fileset

- id: 94dcc291-ec29-4300-97b9-2abf5ba25ded
  filename: Inventing the potential DDG submitted.docm
  content_type: application/vnd.ms-word.document.macroenabled.12
  size: 2207397
  md5: a4153f55c56497ef3d27dc6ba8edd1d9

## Thumbnail

fileset_id: 94dcc291-ec29-4300-97b9-2abf5ba25ded
filename: Inventing the potential DDG submitted.docm