Cargando…
Decreased Cross-Domain Mutual Information in Schizophrenia From Dynamic Connectivity States
The study of dynamic functional network connectivity (dFNC) has been important to understand the healthy and diseased brain. Recent developments model groups of functionally related brain structures (defined as functional domains) as entities that can send and receive information. A domain analysis...
Autores principales: | Salman, Mustafa S., Vergara, Victor M., Damaraju, Eswar, Calhoun, Vince D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6714616/ https://www.ncbi.nlm.nih.gov/pubmed/31507357 http://dx.doi.org/10.3389/fnins.2019.00873 |
Ejemplares similares
-
Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects
por: Rashid, Barnaly, et al.
Publicado: (2014) -
Schizophrenia Shows Disrupted Links between Brain Volume and Dynamic Functional Connectivity
por: Abrol, Anees, et al.
Publicado: (2017) -
The effect of preprocessing in dynamic functional network connectivity used to classify mild traumatic brain injury
por: Vergara, Victor M., et al.
Publicado: (2017) -
Resting-State Functional Connectivity Differences in Premature Children
por: Damaraju, Eswar, et al.
Publicado: (2010) -
Decentralized dynamic functional network connectivity: State analysis in collaborative settings
por: Baker, Bradley T., et al.
Publicado: (2020)