dc.contributor.author | Jaramillo-Jimenez, Alberto | |
dc.contributor.author | Tovar-Rios, Diego Alejandro | |
dc.contributor.author | Ospina, Johann Alexis | |
dc.contributor.author | Mantilla-Ramos, Yorguin-Jose | |
dc.contributor.author | Loaiza-López, Daniel | |
dc.contributor.author | Henao Isaza, Verónica | |
dc.contributor.author | Zapata Saldarriaga, Luisa María | |
dc.contributor.author | Cadavid Castro, Valeria | |
dc.contributor.author | Suarez-Revelo, Jazmin Ximena | |
dc.contributor.author | Bocanegra, Yamile | |
dc.contributor.author | Lopera, Francisco | |
dc.contributor.author | Pineda-Salazar, David Antonio | |
dc.contributor.author | Tobón Quintero, Carlos Andrés | |
dc.contributor.author | Ochoa-Gomez, John Fredy | |
dc.contributor.author | Borda, Miguel Germán | |
dc.contributor.author | Aarsland, Dag | |
dc.contributor.author | Bonanni, Laura | |
dc.contributor.author | Brønnick, Kolbjørn Kallesten | |
dc.date.accessioned | 2024-02-22T08:57:10Z | |
dc.date.available | 2024-02-22T08:57:10Z | |
dc.date.created | 2023-06-05T13:34:00Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Jaramillo-Jimenez, A., Tovar-Rios, D. A., Ospina, J. A., Mantilla-Ramos, Y. J., Loaiza-López, D., Isaza, V. H., ... & Brønnick, K. (2023). Spectral features of resting-state EEG in Parkinson's Disease: A multicenter study using functional data analysis. Clinical Neurophysiology, 151, 28-40. | en_US |
dc.identifier.issn | 1388-2457 | |
dc.identifier.uri | https://hdl.handle.net/11250/3119190 | |
dc.description.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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Spectral features of resting-state EEG in Parkinson's Disease: A multicenter study using functional data analysis | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | The authors | en_US |
dc.subject.nsi | VDP::Medisinske Fag: 700 | en_US |
dc.source.pagenumber | 28-40 | en_US |
dc.source.volume | 151 | en_US |
dc.source.journal | Clinical Neurophysiology | en_US |
dc.identifier.doi | 10.1016/j.clinph.2023.03.363 | |
dc.identifier.cristin | 2151891 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |