Characterizing the heterogeneity of neurodegenerative diseases through EEG normative modeling

Neurodegenerative diseases like Parkinson's (PD) and Alzheimer's (AD) exhibit considerable heterogeneity of functional brain features within patients, complicating diagnosis and treatment. Here, we use electroencephalography (EEG) and normative modeling to investigate neurophysiological mechanisms underpinning this heterogeneity. Resting-state EEG data from 14 clinical units included healthy adults (n = 499) and patients with PD (n = 237) and AD (n = 197), aged over 40. Spectral and source connectivity analyses provided features for normative modeling, revealing significant, frequency-dependent EEG deviations with high heterogeneity in PD and AD. Around 30% of patients exhibited spectral deviations, while ~80% showed functional source connectivity deviations. Notably, the spatial overlap of deviant features did not exceed 60% for spectral and 25% for connectivity analysis. Furthermore, patient-specific deviations correlated with clinical measures, with greater deviations linked to worse UPDRS for PD (⍴ = 0.24, p = 0.025) and MMSE for AD (⍴ = -0.26, p = 0.01). These results suggest that EEG deviations could enrich individualized clinical assessment in Precision Neurology.

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Publication Details

Journal
npj Parkinson s Disease
Published
2025-05-08
DOI
https://doi.org/10.1038/s41531-025-00957-6
Citations
6
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
8.59

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article

Characterizing the heterogeneity of neurodegenerative diseases through EEG normative modeling

Peter Fuhr, Ute Gschwandtner, Judie Tabbal, Claudio Babiloni et al.
6 citations
npj Parkinson s Disease
Functional Brain Connectivity Studies
8.59
article

Characterizing the heterogeneity of neurodegenerative diseases through EEG normative modeling

Peter Fuhr, Ute Gschwandtner, Judie Tabbal, Claudio Babiloni, Véronique Paban, Marc Vérin, Aya Kabbara, Sahar Allouch, Ahmad Mheich, Bahar Güntekin, Görsev Yener, Mahmoud Hassan, Aida Ebadi
article en
6 citations

Abstract

Neurodegenerative diseases like Parkinson's (PD) and Alzheimer's (AD) exhibit considerable heterogeneity of functional brain features within patients, complicating diagnosis and treatment. Here, we use electroencephalography (EEG) and normative modeling to investigate neurophysiological mechanisms underpinning this heterogeneity. Resting-state EEG data from 14 clinical units included healthy adults (n = 499) and patients with PD (n = 237) and AD (n = 197), aged over 40. Spectral and source connectivity analyses provided features for normative modeling, revealing significant, frequency-dependent EEG deviations with high heterogeneity in PD and AD. Around 30% of patients exhibited spectral deviations, while ~80% showed functional source connectivity deviations. Notably, the spatial overlap of deviant features did not exceed 60% for spectral and 25% for connectivity analysis. Furthermore, patient-specific deviations correlated with clinical measures, with greater deviations linked to worse UPDRS for PD (⍴ = 0.24, p = 0.025) and MMSE for AD (⍴ = -0.26, p = 0.01). These results suggest that EEG deviations could enrich individualized clinical assessment in Precision Neurology.

npj Parkinson s DiseaseVol. 11(1)
Reykjavík University (IS), Université d'Orléans (FR), Centre National de la Recherche Scientifique (FR), Izmir University (TR), İzmir University of Economics (TR), Università degli studi di Cassino e del Lazio Meridionale (IT), Aix-Marseille Université (FR), University Hospital of Basel (CH), Istanbul Medipol University (TR), Centre hospitalier universitaire d'Orléans (FR), Sapienza University of Rome (IT), Lebanese International University (LB), University of Lausanne (CH), Hasanuddin University (ID)
Région Bretagne
Good health and well-being
Openalex Percentile: Top 2%
Functional Brain Connectivity Studies
8.59
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