Abnormal periodic and aperiodic resting-state electroencephalographic markers in Lewy body and Alzheimer’s diseases with cognitive decline

Abstract Lewy body disease (LBD) and Alzheimer’s disease (AD) are the most common causes of cognitive decline and dementia and are associated with characteristic alterations in resting-state electroencephalographic (rsEEG) activity. This multicenter exploratory study investigated periodic and aperiodic rsEEG features in patients with cognitive decline due to Lewy body disease (LBCD) and Alzheimer’s disease (ADCD), compared with cognitively unimpaired older adults (Nold), and examined the clinical relevance of these markers in LBCD. A total of 140 LBCD, 135 ADCD, and 118 Nold datasets from the PDWAVES archive underwent spectral parameterization to decompose rsEEG power spectra (1–30 Hz) into periodic peaks and aperiodic background activity. Both clinical groups showed a significant slowing of the individual alpha frequency (IAF), more pronounced in LBCD, along with reduced periodic alpha and beta power reflected in a lower vigilance index. The aperiodic exponent was elevated in both groups, and the aperiodic offset was also higher in LBCD, suggesting steeper spectral profiles consistent with increased inhibitory cortical tone. Within the LBCD group, poorer cognition was associated with higher low-frequency alpha power, whereas better cognition was predicted by higher high-frequency alpha power. A reduced vigilance index was associated with the presence of visual hallucinations, while no associations emerged for other symptoms. These findings suggest that combined periodic and aperiodic rsEEG features may provide relevant markers of altered vigilance regulation in LBCD. Future studies should evaluate whether these EEG markers can inform targeted interventions, such as neuromodulatory or audiovisual stimulation, to stabilize quiet-vigilance states and improve clinical outcomes. Graphical abstract Panel A shows the spectral parameterization of rsEEG activity into periodic and aperiodic components. Panel B summarizes the main group differences in key rsEEG markers across LBCD, ADCD, and Nold participants. Panel C shows the topographical associations between the vigilance index and cognition and visual hallucinations in LBCD; colors reflect the direction and strength of the associations. For the visual hallucinations map, negative log-odds indicate lower odds of hallucinations for higher vigilance index values, whereas positive log-odds indicate higher odds; values around ± 1.5 correspond approximately to odds ratios of 0.22 and 4.5, respectively. Abbreviations: rsEEG, resting-state electroencephalography; LBCD, cognitive decline due to Lewy body disease; ADCD, cognitive decline due to Alzheimer’s disease; Nold, cognitively unimpaired older adults; IAF, individual alpha frequency; MMSE, Mini-Mental State Examination; p , standardized regression coefficient; log-odds, logistic regression coefficient.

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Journal
GeroScience
Published
2026-05-22
DOI
https://doi.org/10.1007/s11357-026-02325-5
Primary Topic
Neural dynamics and brain function
Type
article
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article

Abnormal periodic and aperiodic resting-state electroencephalographic markers in Lewy body and Alzheimer’s diseases with cognitive decline

Roberta Lizio, Simone Marziali, Francesco Infarinato, Matteo Carpi et al.
GeroScience
Neural dynamics and brain function
article

Abnormal periodic and aperiodic resting-state electroencephalographic markers in Lewy body and Alzheimer’s diseases with cognitive decline

Roberta Lizio, Simone Marziali, Francesco Infarinato, Matteo Carpi, Filippo Carducci, Eleonora Fiorenzato, Paola Romano, Franco Giubilei, Bartolo Lanuzza, Maria Francesca De Pandis, Susanna Lopez, Marianna Amboni, Verónica Henao Isaza, Simone Cauzzo, Roberta Biundo, Moira Marizzoni, Arianna Cappiello, Burcu Bölükbaş, Antonio Pio Afragola, John Paul Taylor, Chiara Coletti, Giuseppe Bruno, Fabrizia D’Antonio, Angelo Antonini, Görsev Yener, Harun Yırıkoğulları, Fabrizio Stocchi, Sofia Cuoco, Raffaele Ferri, Paolo Barone, Giovanni B. Frisoni, Matteo Pardini, Francesco Famà, Lutfu Hanoğlu, Claudio Del Percio, Marco Salvatore, Claudio Babiloni, Laura Vacca, Anita D’Anselmo, Federico Massa, Dario Arnaldi, Andrea Soricelli, Giuseppe Noce, Mina De Bartolo, Lorenc Barjami, Bahar Güntekin, Laura Bonanni
article en

Abstract

Abstract Lewy body disease (LBD) and Alzheimer’s disease (AD) are the most common causes of cognitive decline and dementia and are associated with characteristic alterations in resting-state electroencephalographic (rsEEG) activity. This multicenter exploratory study investigated periodic and aperiodic rsEEG features in patients with cognitive decline due to Lewy body disease (LBCD) and Alzheimer’s disease (ADCD), compared with cognitively unimpaired older adults (Nold), and examined the clinical relevance of these markers in LBCD. A total of 140 LBCD, 135 ADCD, and 118 Nold datasets from the PDWAVES archive underwent spectral parameterization to decompose rsEEG power spectra (1–30 Hz) into periodic peaks and aperiodic background activity. Both clinical groups showed a significant slowing of the individual alpha frequency (IAF), more pronounced in LBCD, along with reduced periodic alpha and beta power reflected in a lower vigilance index. The aperiodic exponent was elevated in both groups, and the aperiodic offset was also higher in LBCD, suggesting steeper spectral profiles consistent with increased inhibitory cortical tone. Within the LBCD group, poorer cognition was associated with higher low-frequency alpha power, whereas better cognition was predicted by higher high-frequency alpha power. A reduced vigilance index was associated with the presence of visual hallucinations, while no associations emerged for other symptoms. These findings suggest that combined periodic and aperiodic rsEEG features may provide relevant markers of altered vigilance regulation in LBCD. Future studies should evaluate whether these EEG markers can inform targeted interventions, such as neuromodulatory or audiovisual stimulation, to stabilize quiet-vigilance states and improve clinical outcomes. Graphical abstract Panel A shows the spectral parameterization of rsEEG activity into periodic and aperiodic components. Panel B summarizes the main group differences in key rsEEG markers across LBCD, ADCD, and Nold participants. Panel C shows the topographical associations between the vigilance index and cognition and visual hallucinations in LBCD; colors reflect the direction and strength of the associations. For the visual hallucinations map, negative log-odds indicate lower odds of hallucinations for higher vigilance index values, whereas positive log-odds indicate higher odds; values around ± 1.5 correspond approximately to odds ratios of 0.22 and 4.5, respectively. Abbreviations: rsEEG, resting-state electroencephalography; LBCD, cognitive decline due to Lewy body disease; ADCD, cognitive decline due to Alzheimer’s disease; Nold, cognitively unimpaired older adults; IAF, individual alpha frequency; MMSE, Mini-Mental State Examination; p , standardized regression coefficient; log-odds, logistic regression coefficient.

GeroScience
University of Geneva (CH), University of Salerno (IT), University of Padua (IT), Parthenope University of Naples (IT), Università degli studi di Cassino e del Lazio Meridionale (IT), Dokuz Eylül University (TR), San Raffaele University of Rome (IT), Istanbul Medipol University (TR), University of Chieti-Pescara (IT), Oasi Maria SS (IT), Centro San Giovanni di Dio Fatebenefratelli (IT), Institute for Biomedicine (IT), IRCCS San Camillo Hospital (IT), IRCCS Ospedale San Raffaele (IT), Ospedale Policlinico San Martino (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT), Geneva College (US), University of Genoa (IT), Newcastle University (GB), Sapienza University of Rome (IT)
National Institute for Health and Care Research, European Commission, Ministero della Salute, Ministero dell'Università e della Ricerca, HORIZON EUROPE Framework Programme, NIHR Newcastle Biomedical Research Centre
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Neural dynamics and brain function
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