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Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
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Electroencephalogram associations to cognitive performance in clinically active nurses.

Ty Lees1, Rami Khushaba, Sara Lal

  • 1Neuroscience Research Unit, School of Life Sciences, University of Technology, Sydney PO Box 123, Broadway NSW 2007, Australia.

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Electroencephalogram (EEG) beta activity shows promise for detecting cognitive performance changes. Increased beta activity correlated with better cognitive function in nurses, suggesting potential EEG biomarkers for early cognitive health assessment.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Biomarkers

Background:

  • Traditional cognitive screening tools struggle with early impairment detection.
  • Electroencephalogram (EEG) dynamics offer potential for identifying cognitive transitions.
  • Limited research exists on EEG in non-impaired, occupation-specific populations.

Purpose of the Study:

  • To investigate associations between frontal pole and central EEG activity and cognitive performance in nurses.
  • To determine the significance of these EEG-cognitive performance relationships.
  • To explore potential EEG biomarkers for cognitive health.

Main Methods:

  • Fifty-seven nurses underwent EEG recording (Fp1, Fp2, C3, C4) during a Stroop test.
  • Cognitive performance assessed using Mini-Mental State Exam (MMSE) and Cognistat.
  • Correlations analyzed between EEG beta activity and cognitive outcomes.

Main Results:

  • Significant positive correlations found between EEG beta activity and global cognitive performance (MMSE, Cognistat).
  • Domain-specific cognitive performance also showed significant associations with various EEG variables.
  • Increased beta activity linked to enhanced global cognitive function.

Conclusions:

  • EEG beta activity may serve as a potential biomarker for global cognitive performance.
  • Identified potential EEG biomarkers for domain-specific cognitive functions.
  • Provides foundational research for developing EEG-based biomarkers for cognitive pathologies.