EEG-based functional connectivity analysis for cognitive impairment classification

Understanding how mild cognitive impairment affects global neural networks may explain changes in brain electrophysiology. Using graph theory and the visual oddball paradigm, we evaluated the functional connectivity of neuronal networks in brain lobes. The study involved 30 participants: 14 with mil...

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Autores:
Isabel Echeverri-Ocampo
Echeverri Ocampo, Isabel Cristina
Ardila, Karen
José Molina-Mateo
Molina-Mateo, Jose
Padilla-Buritica, J. I.
Carceller, Héctor
Barceló-Martinez, Ernesto A.
Llamur, S. I.
Maria de la Iglesia-Vaya
de la Iglesia Vaya, Maria
Tipo de recurso:
Article of investigation
Fecha de publicación:
2023
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/13551
Acceso en línea:
https://hdl.handle.net/11323/13551
https://repositorio.cuc.edu.co/
Palabra clave:
Brain networks
Computational modeling
EEG
Neurodegenerative disease
Machine learning
Change point detection
Rights
openAccess
License
Atribución 4.0 Internacional (CC BY 4.0)