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

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 reproducibili...

Full description

Autores:

Jaramillo-Jiménez, Alberto
Tovar-Rios, Diego Alejandro
Ospina Galindez, Johann Alexis
Mantilla-Ramos, Yorguin José
Loaiza-López, Daniel
Henao Isaza, Verónica
Zapata Saldarriaga, Luisa María
Valeria Cadavid Castro
Suárez-Revelo, Jazmin Ximena
Bocanegra, Yamilé
Lopera, Francisco
Pineda-Salazar, David Antonio
Tobón Quintero, Carlos Andrés
Ochoa-Gómez, John Fredy
Borda, Miguel Germán
Aarsland, Dag
Laura Bonanni

Tipo de recurso:

Article of investigation

Fecha de publicación:

2023

Institución:

Universidad Autónoma de Occidente

Repositorio:

RED: Repositorio Educativo Digital UAO

Idioma:

eng

OAI Identifier:

oai:red.uao.edu.co:10614/15852

Acceso en línea:

https://hdl.handle.net/10614/15852
https://doi.org/10.1016/j.clinph.2023.03.363
https://red.uao.edu.co/

Palabra clave:

Functional data analysis
Electroencephalography
Parkinson’s disease
Alpha rhythm
Theta rhythm

Rights

openAccess

License

Derechos reservados - Elsevier, 2023