Periodic and Aperiodic Alterations of Resting‐State EEG in Schizophrenia Spectrum Disorders: Cognitive and Clinical Insights

Schizophrenia spectrum disorders (SSD) are marked by cognitive deficits and clinical symptoms linked to disrupted neural oscillations. While changes in spectral power are well documented in SSD, many studies have not clearly separated rhythmic (periodic) from the nonrhythmic (aperiodic) brain activity. This study examined both periodic and aperiodic resting-state EEG components in SSD, recorded from 152 healthy controls and 97 SSD participants. EEG features (periodic power, bandwidth, center frequency; aperiodic exponent and offset) were extracted from global scalp averages and frontoinsular regions, including the dorsal anterior cingulate cortex (dACC), right anterior insula (R-INS), and left anterior insula (L-INS). At the scalp level, SSD individuals exhibited a global increase in theta power, along with a decreased alpha center frequency. Aperiodic activity showed increased exponent and offset in SSD. In frontoinsular regions, increased theta power was observed in the dACC, R-INS, and L-INS, along with lower alpha center frequency in L-INS. No significant differences were found for aperiodic activity in these regions. Increased frontoinsular theta power, especially in the dACC, was associated with worse cognitive performance, particularly global cognition and working memory. These findings highlight the importance of separating periodic and aperiodic EEG activity in SSD, suggesting that periodic alterations, particularly in frontoinsular theta oscillations, may underlie cognitive dysfunction in SSD.

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Publication Details

Journal
European Journal of Neuroscience
Published
2025-10-01
DOI
https://doi.org/10.1111/ejn.70263
Citations
1
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
1.43

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article

Periodic and Aperiodic Alterations of Resting‐State EEG in Schizophrenia Spectrum Disorders: Cognitive and Clinical Insights

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1 citations
European Journal of Neuroscience
Neural dynamics and brain function
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article

Periodic and Aperiodic Alterations of Resting‐State EEG in Schizophrenia Spectrum Disorders: Cognitive and Clinical Insights

Oliver Pogarell, Andrea Schmitt, Maxim Korman, Katharina Hanken, Daniel Keeser, Katrin Fischer, Florian J. Raabe, Enrico Schulz, Vladislav Yakimov, Peter Falkai, Joanna Moussiopoulou, Elias M. Wagner, Emanuel Boudriot, Susanne Karch, Marcel S. Kallweit, Verena Meisinger, Fanny Dengl, Alkomiet Hasan, Iris Jaeger, Genc Hasanaj, Nicole Klimas, Matin Mortazavi, Berkhan Karslı
article en
1 citations

Abstract

Schizophrenia spectrum disorders (SSD) are marked by cognitive deficits and clinical symptoms linked to disrupted neural oscillations. While changes in spectral power are well documented in SSD, many studies have not clearly separated rhythmic (periodic) from the nonrhythmic (aperiodic) brain activity. This study examined both periodic and aperiodic resting-state EEG components in SSD, recorded from 152 healthy controls and 97 SSD participants. EEG features (periodic power, bandwidth, center frequency; aperiodic exponent and offset) were extracted from global scalp averages and frontoinsular regions, including the dorsal anterior cingulate cortex (dACC), right anterior insula (R-INS), and left anterior insula (L-INS). At the scalp level, SSD individuals exhibited a global increase in theta power, along with a decreased alpha center frequency. Aperiodic activity showed increased exponent and offset in SSD. In frontoinsular regions, increased theta power was observed in the dACC, R-INS, and L-INS, along with lower alpha center frequency in L-INS. No significant differences were found for aperiodic activity in these regions. Increased frontoinsular theta power, especially in the dACC, was associated with worse cognitive performance, particularly global cognition and working memory. These findings highlight the importance of separating periodic and aperiodic EEG activity in SSD, suggesting that periodic alterations, particularly in frontoinsular theta oscillations, may underlie cognitive dysfunction in SSD.

European Journal of NeuroscienceVol. 62(7)
University of Augsburg (DE), LMU Klinikum (DE), German Center for Infection Research (DE), German Centre for Cardiovascular Research (DE), Bernstein Center for Computational Neuroscience Munich (DE), Brazilian Institute of Neuroscience and Neurotechnology (BR), Max Planck Institute of Psychiatry (DE), International Max Planck Research School for Advanced Methods in Process and Systems Engineering (DE), Bezirkskrankenhaus Augsburg (DE), Ludwig-Maximilians-Universität München (DE)
International Max Planck Research School for Environmental, Cellular and Molecular Microbiology, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Ludwig-Maximilians-Universität München, International Max Planck Research School for Advanced Methods in Process and Systems Engineering
Openalex Percentile: Top 15%
Neural dynamics and brain function
1.43
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