Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization

Prado, Pavel and Mejía, Jhony A. and Sainz-Ballesteros, Agustín and Birba, Agustina and Moguilner, Sebastian and Herzog, Rubén and Otero, Mónica and Cuadros, Jhosmary and Z-Rivera, Lucía and O'Byrne, Daniel Franco and Parra Rodriguez, Mario and Ibáñez, Agustín (2023) Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 15 (3). e12455. ISSN 2352-8729 (https://doi.org/10.1002/dad2.12455)

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Abstract

Introduction -- Harmonization protocols that address batch effects and cross-site methodological differences in multi-center studies are critical for strengthening electroencephalography (EEG) signatures of functional connectivity (FC) as potential dementia biomarkers. Methods -- We implemented an automatic processing pipeline incorporating electrode layout integrations, patient-control normalizations, and multi-metric EEG source space connectomics analyses. Results -- Spline interpolations of EEG signals onto a head mesh model with 6067 virtual electrodes resulted in an effective method for integrating electrode layouts. Z-score transformations of EEG time series resulted in source space connectivity matrices with high bilateral symmetry, reinforced long-range connections, and diminished short-range functional interactions. A composite FC metric allowed for accurate multicentric classifications of Alzheimer's disease and behavioral variant frontotemporal dementia. Discussion --Harmonized multi-metric analysis of EEG source space connectivity can address data heterogeneities in multi-centric studies, representing a powerful tool for accurately characterizing dementia.

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