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Resting EEG partial coherence demonstrates increased γ range central functional connectivity in amnestic mild cognitive impairment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F25%3A00641461" target="_blank" >RIV/67985807:_____/25:00641461 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.brainres.2025.149973" target="_blank" >https://doi.org/10.1016/j.brainres.2025.149973</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.brainres.2025.149973" target="_blank" >10.1016/j.brainres.2025.149973</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Resting EEG partial coherence demonstrates increased γ range central functional connectivity in amnestic mild cognitive impairment

  • Original language description

    OBJECTIVE: Relatively little is known about EEG high gamma (gamma) range changes in Alzheimer's disease (AD). We investigated functional connectivity, focusing on the gamma range, in amnestic Mild Cognitive Impairment (MCI) using ordinary Coherence (COH) and Partial Coherence (PCOH), a metric which enhances signal-to-noise ratio at high frequencies. METHODS: MCI (N=21) and Cognitively Normal (CN, N=62) ALBION study participants had resting EEG with eyes closed (EC) and eyes open (EO) in 10/20 montage (19 active electrodes). COH and PCOH in 0.5-100 Hz for each subject were calculated for all 171 electrode pairs. RESULTS: In both gamma1 (30-50 Hz) and gamma2 (50-100 Hz) ranges, PCOH was significantly higher in MCI than in CN in several electrode pairs, especially centrally, in both eye conditions. Concerning local (average of each electrode) connectivity, MCI compared to CN showed significantly higher values in PCOH centrally. CONCLUSIONS: Resting EEG gamma range functional connectivity at central areas, as revealed by PCOH, is significantly higher in MCI than in CN. SIGNIFICANCE: Gamma range local and regional EEG functional connectivity differences may help construct useful and easily available biomarkers in neurodegeneration. Metrics such as PCOH, which factor out global connectivity components, may help reveal such differences.

  • 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

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Brain Research

  • ISSN

    0006-8993

  • e-ISSN

    1872-6240

  • Volume of the periodical

    1867

  • Issue of the periodical within the volume

    November 2025

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    17

  • Pages from-to

    149973

  • UT code for WoS article

    001588444200001

  • EID of the result in the Scopus database

    2-s2.0-105017631471