ARTICLES
Original Article
Turkish Title : Investigating the Relationship Between Resting-State EEG Gamma Power and Neuropsychological Performance in Healthy Adults
Düşmez Hafize Meryem
JNBS, 2025, 12(1), p:23-31
Aim: Resting-state gamma oscillations, less studied compared to task-related gamma activity, have increasingly been considered to reflect baseline cognitive processes and readiness for future cognitive demands. Previous research has largely focused on clinical populations, identifying aberrant gamma activity as a marker of cognitive dysfunction in conditions such as schizophrenia, Alzheimer’s disease, and ADHD. This study investigates the relationship between resting-state EEG gamma power and neuropsychological performance in healthy adults. Specifically, it examines the associations between absolute and relative gamma power across different brain regions (frontal, temporal, parietal, and occipital) during resting-state and performance in cognitive domains such as working memory, verbal fluency, face recognition, short-term memory, and attention. Material and Methods: A total of 45 healthy individuals who underwent routine neuropsychiatric evaluations at NP Istanbul Brain Hospital and exhibited no pathological findings were included in the study. Resting-state EEG data, collected retrospectively, were analyzed to extract gamma power values, which were subsequently correlated with neuropsychological test scores. Results: The results revealed significant positive correlations between relative gamma power in the frontal and parietal regions and verbal fluency performance. This association suggests that specific brain regions contribute uniquely to cognitive functions during resting states, with gamma power providing insight into the neural substrates of language-related abilities. Conclusion: These findings highlight the relevance of resting-state gamma power in understanding individual differences in cognitive abilities. Future research should validate these findings with larger, more diverse samples and incorporate advanced techniques like MEG to better understand the neural mechanisms linking gamma oscillations to cognitive performance.
ISSN (Print) | 2149-1909 |
ISSN (Online) | 2148-4325 |
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