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INVESTIGATING THE VARIATIONS IN THE BRAIN ACTIVITY BETWEEN HEALTHY SUBJECTS AND MILD COGNITIVE IMPAIRMENT (MCI) PATIENTS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020761" target="_blank" >RIV/62690094:18450/23:50020761 - isvavai.cz</a>

  • Alternative codes found

    RIV/75081431:_____/23:00002630

  • Result on the web

    <a href="https://www.worldscientific.com/doi/10.1142/S0218348X23501244" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X23501244</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1142/S0218348X23501244" target="_blank" >10.1142/S0218348X23501244</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    INVESTIGATING THE VARIATIONS IN THE BRAIN ACTIVITY BETWEEN HEALTHY SUBJECTS AND MILD COGNITIVE IMPAIRMENT (MCI) PATIENTS

  • Original language description

    Analysis of brain activity for patients with brain disorders is an important research area. Mild cognitive impairment (MCI) is a condition in which patients have more memory or thinking problems compared to healthy people of the same age. In this work, we studied the alterations in brain activity among control subjects and patients with MCI. Three complexity techniques, namely sample entropy,pproximate entropy, and fractal dimension, were employed to study electroencephalogram (EEG) signals recorded from 102 control (healthy) subjects, and seven subjects with MCI in a comfortable position, on a bed, with their eyes closed. The results showed that the EEG signals of patients with MCI show greater complexity than the EEG signals of healthy subjects. This analysis method can be applied to compare brain activity among healthy subjects and patients with other brain diseases.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Fractals

  • ISSN

    0218-348X

  • e-ISSN

    1793-6543

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    SG - SINGAPORE

  • Number of pages

    7

  • Pages from-to

    "Article number: 2350124"

  • UT code for WoS article

    001084543200002

  • EID of the result in the Scopus database

    2-s2.0-85174853075