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ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Resting-state EEG markers of cognitive dysfunction in epilepsy: evidence from gamma power, alpha activity, and functional connectivity.

Fatima Nasrollahzadeh Masoumian, Sobhan Bamdad, Angelina Laganà, Maria Cristina Petralia

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Fatima Nasrollahzadeh Masoumian *Neurophysiopathology and Movement Disorders Clinic, University of Messina, Messina, Italy.
Sobhan Bamdad *Neurophysiopathology and Movement Disorders Clinic, University of Messina, Messina, Italy.
Angelina LaganàNeurophysiopathology and Movement Disorders Clinic, University of Messina, Messina, Italy.
Maria Cristina PetraliaDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy. mariacristina.petralia@unime.it.ORCID http://orcid.org/0000-0002-9643-1045

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6 · The paper itself

Abstract

purposeCognitive dysfunction is a common comorbidity in epilepsy, linked to disrupted neural oscillations and network synchronization. Resting-state electroencephalography (EEG) provides a non-invasive approach to identify electrophysiological biomarkers of cognitive dysfunction. This study examined relationships between resting-state EEG spectral power, functional connectivity, and cognitive performance among people with epilepsy.

methodsSixty-five persons with epilepsy (mean age 38.72 ± 1.63 years) underwent eyes-closed resting-state EEG and Montreal Cognitive Assessment (MoCA). Participants were classified into preserved cognition (nPCCD; MoCA ≥ 26, n = 35) and comorbid cognitive dysfunction (PCCD; MoCA < 26, n = 30) groups. Power spectral density (PSD) and band-powers were extracted from clean EEG, and functional connectivity was assessed via magnitude-squared coherence. Pearson correlations assessed associations between MoCA and band-powers, and group comparisons evaluated inter-group differences.

resultsGlobal gamma power negatively correlated with MoCA scores all (r= -0.30, p = 0.01, n = 65) and PCCD group (r= -0.57, p = 0.0003), indicating higher gamma activity with poorer cognition. The nPCCD group exhibited higher global alpha power than the PCCD group [17.48 ± 2.63 vs. 10.83 ± 1.76 µV²/Hz, p = 0.0091], with topographic significance over bilateral temporal and parietal regions (15 channels, p < 0.05). Functional connectivity differed between groups across frequency bands, most prominently in alpha. (p < 0.05).

conclusionsResting-state EEG reveals elevated gamma power significantly correlates with poorer cognitive performance across all participants as well as PCCD, and also reduced alpha power, and altered functional connectivity as neurophysiological markers of cognitive dysfunction in epilepsy. Combining spectral and network-level measures may improve characterization, early identification, and targeted management of cognitive comorbidity in epilepsy.

Indexed as

Alpha RhythmBrainCognitive DysfunctionElectroencephalographyEpilepsyGamma RhythmAdultFemaleHumansMaleMental Status and Dementia TestsNeural PathwaysRestCognitive DysfunctionEpilepsyFrequency analysisFunctional connectivityMOCA TestResting-state EEG

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.