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[Cognitive Reserves: Prefrontal Cortex or Information Load?]

M A Bakaev1, O M Razumnikova1

  • 1Novosibirsk State Technical University, 20 pr. K.Marksa, Novosibirsk 630073, Russian Federation,

Advances in Gerontology = Uspekhi Gerontologii
|July 10, 2021
PubMed
Summary
This summary is machine-generated.

Scientific literature on cognitive reserves is rapidly growing. Key predictors include prefrontal cortex activity, beta-range EEG, inhibition, and information load, crucial for gerontology research.

Keywords:
EEGagingbibliometric analysiscognitive resourcesinformation loadprefrontal cortexpsychometric methods for assessing cognitive functions

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Area of Science:

  • Neuroscience
  • Psychology
  • Gerontology

Background:

  • Scientific knowledge is expanding due to information technology.
  • Neurobiological and psychological research publications are growing exponentially.
  • Bibliometric analysis is essential for tracking research trends.

Purpose of the Study:

  • To identify predictors of cognitive reserves.
  • To determine methods for assessing cognitive reserves.
  • To analyze trends in cognitive reserve research using an applied ontology.

Main Methods:

  • Bibliometric analysis of publications from the PubMed database (1990-2019).
  • Development and application of an applied ontology for cognitive reserve research.
  • Identification of key psychophysiological indicators and research trends.

Main Results:

  • Annual publication growth in cognitive reserve research was 11%, exceeding the scientific average.
  • Increasing research interest in prefrontal cortex, beta-range EEG (13-30 Hz), inhibition, and information load as cognitive reserve predictors.
  • Inhibitory functions of the prefrontal cortex are vital for managing information load and selecting relevant stimuli.

Conclusions:

  • The prefrontal cortex's inhibitory functions are central to cognitive reserve realization under information load.
  • Identified predictors and psychometric assessment methods can guide future gerontology research.
  • Information technology facilitates the analysis of complex scientific data for advancing cognitive reserve understanding.