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EEG-based Functional Connectivity Reveals a Genotype-Specific Network Signature in GBA-Associated Parkinson’s Disease

M. Conti, V. D'Onofrio, M. Avenali, L. Lorenzon, L. Grassi, M. Ginevrino, L. Salviati, M. Terzaghi, M. Carecchio, A. Stefani, EM. Valente, A. Antonini, A. Guerra (Rome, Italy)

Meeting: 2026 International Congress

Keywords: Electroencephalogram(EEG), Parkinson’s

Category: Parkinson's disease: Biomarkers (non-Neuroimaging)

Objective: to investigate whether PD patients carrying pathogenetic GBA variants exhibit distinct frequency-specific EEG-based FC alterations compared with GBA1-negative PD patients (PD-GBA−).

Background: Variants in the GBA1 gene are the strongest genetic risk factors for Parkinson’s disease (PD) and are associated with a more severe clinical phenotype, characterized by earlier gait impairment, cognitive decline, and faster development of motor complications [1]. While these features suggest a distinct network-level vulnerability, the functional connectivity (FC) correlates of GBA-associated PD (PD-GBA+) remain scarcely understood.

Method: 60 PD patients, including 30 GBA variant carriers (PD-GBA+) and 30 genetically negative patients (PD-GBA−), and 30 healthy controls (HC) were enrolled. Resting-state EEG was recorded using a 64-channel HD-EEG system. Source reconstruction was performed using an individual brain MRI to estimate regional cortical activity. Cortico-cortical FC was computed using the weighted phase-lag index in theta, alpha, beta, low, and high-gamma frequency bands [2]. Group differences in FC were assessed using Network-Based Statistics, and network-level FC measures were correlated with clinical scores.

Results: In the beta band, a significant between-group network difference was observed, showing an increase in FC across the spectrum HC<PD-GBA-<PD-GBA+. This network primarily involved sensorimotor and parietal regions, and mean network connectivity was positively associated with bradykinesia. In the high-gamma band, the analysis detected a network showing reduced FC in PD-GBA+ compared with PD-GBA- patients, predominantly encompassing prefrontal and sensorimotor nodes. Lower FC in the high-gamma band was significantly associated with greater motor complication severity in both PD groups.

Conclusion: Our findings reveal peculiar frequency-specific network alterations in PD-GBA+. Increased beta FC may suggest maladaptive motor network synchronization, functionally related to bradykinesia severity. Reduced high-gamma FC may reflect impaired fast cortico-cortical communication, potentially underlying the earlier development of motor fluctuations observed in the PD-GBA+. EEG-based FC may therefore represent a non-invasive tool to capture genotype-specific brain network vulnerability in PD.

References: [1] S. Petrucci et al., “ GBA ‐Related Parkinson’s Disease: Dissection of Genotype–Phenotype Correlates in a Large Italian Cohort,” Movement Disorders, vol. 35, no. 11, pp. 2106–2111, Nov. 2020, doi: 10.1002/mds.28195.
[2] M. Conti et al., “Cortical Functional Connectivity Changes in the Body‐First and Brain‐First Subtypes of Parkinson’s Disease,” Movement Disorders, vol. 40, no. 2, pp. 254–265, Feb. 2025, doi: 10.1002/mds.30071.

To cite this abstract in AMA style:

M. Conti, V. D'Onofrio, M. Avenali, L. Lorenzon, L. Grassi, M. Ginevrino, L. Salviati, M. Terzaghi, M. Carecchio, A. Stefani, EM. Valente, A. Antonini, A. Guerra. EEG-based Functional Connectivity Reveals a Genotype-Specific Network Signature in GBA-Associated Parkinson’s Disease [abstract]. Mov Disord. 2026; 41 (suppl 1). https://www.mdsabstracts.org/abstract/eeg-based-functional-connectivity-reveals-a-genotype-specific-network-signature-in-gba-associated-parkinsons-disease/. Accessed October 1, 2026.
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