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Biological Age Estimation Based on the Spectral Analysis of the Bioelectrical Activity of the Human Brain

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Abstract

This research offers a method of estimating human biological age based on the spectral analysis of the bioelectric activity of the brain for the first time. We have developed an IDC decentralization index, which is calculated by taking the total reduction of the background neurotrophic influences of the brain activating system on the peripheral tissues and organs into account. The obtained dependence of the IDC index on the age of healthy people at ages of 10 to 90, as well as on the degree of differentiation G1–G4 of cancer cells, was close to linear. The accumulation of cell malfunctions and mutations with age could be detected by the growth in the IDC index from 100 to 900 units. An even greater number of cell mutations in cancer patients with the G1 to G4 degree of cell differentiation resulted in the IDC index increasing to 3000 units or more. These data allowed us to estimate a person’s biological age after a 10-minute registration of the bioelectric activity of the brain. The estimation accuracy increased when averaged data were obtained for several trials of each subject. The technology is applicable in scientific research in the field of gerontology, monitoring healthy people, revealing risk groups, and controlling treatment process in cancer patients.

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Authors and Affiliations

  1. Arktika Scientific Research Center, Far Eastern Branch, Russian Academy of Sciences, 685000, Magadan, Russia

    G. A. Shabanov, A. A. Rybchenko, Ye. A. Lugovaya & S. I. Vdovenko

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  1. G. A. Shabanov
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  2. A. A. Rybchenko
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  3. Ye. A. Lugovaya
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  4. S. I. Vdovenko
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Correspondence to G. A. Shabanov.

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Conflict of interests. The authors declare no conflict of interests.

Statement on the welfare of humans. All studies were conducted in accordance with the Helsinki Declaration, FL On the Protection of Health of the RF Citizens of November 21, 2011, and FL of July 27, 2006, no. 152 On Personal Data. All participants gave their written informed consent prior to the experiment.

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Translated by A. Deryabina

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Shabanov, G.A., Rybchenko, A.A., Lugovaya, Y.A. et al. Biological Age Estimation Based on the Spectral Analysis of the Bioelectrical Activity of the Human Brain. Adv Gerontol 12, 25–29 (2022). https://doi.org/10.1134/S207905702201012X

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  • DOI: https://doi.org/10.1134/S207905702201012X

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