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

ABSTRACT: Objective: 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. Methods: 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. Results: 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. Conclusions: Increased generalised theta, with posterior pre-alpha relative PSD, was the most reproducible finding in PD. Significance: 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.

• Autores: Tobón Quintero, Carlos Andrés; Lopera Restrepo, Francisco Javier; Jaramillo-Jimenez, Alberto; Tovar Ríos, Diego Alejandro; Ospina Galindez, Johann Alexis; Mantilla Ramos, Yorguin José; Loaiza López, Daniel; Henao Isaza, Verónica; Zapata Saldarriaga, Luisa María; Cadavid Castro, Valeria; Suárez Revelo, Jazmin Ximena; Bocanegra García, Orfa Yamile; Pineda Salazar, David Antonio; Ochoa Gómez, John Fredy; Borda Borda, Miguel Germán; Aarsland, Dag; Bonanni, Laura; Brønnick, Kolbjørn
• Tipo de recurso: Article of investigation
• Fecha de publicación: 2023
• Institución: Universidad de Antioquia
• Repositorio: Repositorio UdeA
• Idioma: eng
• OAI Identifier: oai:bibliotecadigital.udea.edu.co:10495/42131
• Acceso en línea: https://hdl.handle.net/10495/42131
• Palabra clave: Electroencephalography; Electroencefalografía; Parkinson Disease; Enfermedad de Parkinson; Reproducibility of Results; Reproducibilidad de los Resultados; https://id.nlm.nih.gov/mesh/D004569; https://id.nlm.nih.gov/mesh/D010300; https://id.nlm.nih.gov/mesh/D015203
• Rights: openAccess
• License: http://creativecommons.org/licenses/by/2.5/co/