Cargando…
Resting state functional connectivity predictors of treatment response to electroconvulsive therapy in depression
There is increasing focus on use of resting-state functional connectivity (RSFC) analyses to subtype depression and to predict treatment response. To date, identification of RSFC patterns associated with response to electroconvulsive therapy (ECT) remain limited, and focused on interactions between...
Autores principales: | Moreno-Ortega, M., Prudic, J., Rowny, S., Patel, G. H., Kangarlu, A., Lee, S., Grinband, J., Palomo, T., Perera, T., Glasser, M. F., Javitt, D. C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6433903/ https://www.ncbi.nlm.nih.gov/pubmed/30911075 http://dx.doi.org/10.1038/s41598-019-41175-4 |
Ejemplares similares
-
Parcel-guided rTMS for depression
por: Moreno-Ortega, M., et al.
Publicado: (2020) -
Resting State Functional Connectivity of Brain With Electroconvulsive Therapy in Depression: Meta-Analysis to Understand Its Mechanisms
por: Sinha, Preeti, et al.
Publicado: (2021) -
Electroconvulsive Therapy Response in Major Depressive Disorder: A Pilot Functional Network Connectivity Resting State fMRI Investigation
por: Abbott, Christopher C., et al.
Publicado: (2013) -
Movement, mood and cognition: Preliminary insight into the effects of electroconvulsive therapy in depression through a data-driven resting-state connectivity analysis
por: Belge, J.-B., et al.
Publicado: (2021) -
Predicting Responses to Electroconvulsive Therapy in Adolescents with Treatment-Refractory Depression Based on Resting-State fMRI
por: Li, Xiao, et al.
Publicado: (2023)