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A graph based characterization of functional resting state networks for patients with disorders of consciousness

Disorder of consciousness (DOC) is a consequence of severe brain injuries. Diagnosis of DOC is very challenging because it requires the patient collaboration. Research in hemodynamic brain activity in resting state conditions suggests that healthy brain is organized into large-scale resting state ne...

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Detalles Bibliográficos
Autores Principales: Martínez, Darwin E., Martinez, Johann H., t, Jorge E. Rudas, Demertzi, Athena, Heine, Lizette, Tshibanda, Luaba, Soddu, Andrea, Laureys, Steven, Gomez, Francisco
Formato: Objeto de conferencia (Conference Object)
Lenguaje:Inglés (English)
Publicado: Institute of Electrical and Electronics Engineers Inc. 2015
Materias:
Brain
Computer vision
Diagnosis
Graphic methods
Image processing
Signal processing
Altered states of consciousness
Brain connectivity
Clustering coefficient
Functional connectivity
Functional network
Loss of consciousness
Network characterization
Temporal relationships
Complex networks
Acceso en línea:https://repository.urosario.edu.co/handle/10336/23696
https://doi.org/10.1109/STSIVA.2015.7330414

Internet

https://repository.urosario.edu.co/handle/10336/23696
https://doi.org/10.1109/STSIVA.2015.7330414

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