Functional resting state networks characterization through global network measurements for patients with disorders of consciousness
Disorders of consciousness (DOC) is a consequence of severe brain injuries. DOC diagnosis is quite challenging because it may require patient collaboration. Investigations of brain activity in resting conditions propose that healthy brain is organized into large-scale resting state networks (RSNs) o...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2015
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/23585
- Acceso en línea:
- https://doi.org/10.1109/ColumbianCC.2015.7333436
https://repository.urosario.edu.co/handle/10336/23585
- Palabra clave:
- Brain
Diagnosis
Efficiency
Graph theory
Graphic methods
Altered states of consciousness
Clustering coefficient
Communication quality
Disorders of Consciousness
Global efficiency
Information efficiency
Loss of consciousness
Resting state
Complex networks
Complex graph theory
Disorders of Consciousness
Global efficiency
Resting state networks
- Rights
- License
- http://purl.org/coar/access_right/c_abf2