Spectral features of resting-state EEG in Parkinson's Disease: A multicenter study using functional data analysis

• Published in: Clinical neurophysiology Vol. 151; pp. 28 - 40
• Main Authors: Jaramillo-Jimenez, Alberto, Tovar-Rios, Diego A., Ospina, Johann Alexis, Mantilla-Ramos, Yorguin-Jose, Loaiza-López, Daniel, Henao Isaza, Verónica, Zapata Saldarriaga, Luisa María, Cadavid Castro, Valeria, Suarez-Revelo, Jazmin Ximena, Bocanegra, Yamile, Lopera, Francisco, Pineda-Salazar, David Antonio, Tobón Quintero, Carlos Andrés, Ochoa-Gomez, John Fredy, Borda, Miguel Germán, Aarsland, Dag, Bonanni, Laura, Brønnick, Kolbjørn
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.07.2023
• Subjects: Alpha rhythm; Electroencephalography; Functional Data Analysis; Humans; Medicin och hälsovetenskap; Parkinson Disease - diagnosis; Parkinson's Disease; Reproducibility of Results; Theta rhythm; Functional Data Analysis; Alpha rhythm; Electroencephalography; Theta rhythm; Parkinson's Disease
• ISSN: 1388-2457; 1872-8952; 1872-8952
• DOI: 10.1016/j.clinph.2023.03.363

•Increased generalised theta with posterior pre-alpha relative power are reproducible findings in Parkinson’s Disease.•Functional Data Analysis is a potential tool to overcome potential limitations of epochs averaging in rs-EEG spectral analysis.•Functional Data Analysis constitutes a reliable method to analyse epoch-to-epoch variability of the rs-EEG. This study aims 1) To analyse differences in resting-state electroencephalogram (rs-EEG) spectral features of Parkinson's Disease (PD) and healthy subjects (non-PD) using Functional Data Analysis (FDA) and 2) To explore, in four independent cohorts, the external validity and reproducibility of the findings using both epoch-to-epoch FDA and averaged-epochs approach. We included 169 subjects (85 non-PD; 84 PD) from four centres. Rs-EEG signals were preprocessed with a combination of automated pipelines. Sensor-level relative power spectral density (PSD), dominant frequency (DF), and DF variability (DFV) features were extracted. Differences in each feature were compared between PD and non-PD on averaged epochs and using FDA to model the epoch-to-epoch change of each feature. For averaged epochs, significantly higher theta relative PSD in PD was found across all datasets. Also, higher pre-alpha relative PSD was observed in three of four datasets in PD patients. For FDA, similar findings were achieved in theta, but all datasets showed consistently significant posterior pre-alpha differences across multiple epochs. Increased generalised theta, with posterior pre-alpha relative PSD, was the most reproducible finding in PD. Rs-EEG theta and pre-alpha findings are generalisable in PD. FDA constitutes a reliable and powerful tool to analyse epoch-to-epoch the rs-EEG.