Cargando…
Resting-state brain metabolic fingerprinting clusters (biomarkers) and predictive models for major depression in multiple myeloma patients
BACKGROUND: Major depression is a common comorbidity in cancer patients. Oncology clinics lack practical, objective tools for simultaneous evaluation of cancer and major depression. Fludeoxyglucose F-18 positron emission tomography–computed tomography (FDG PET/CT) is universally applied in modern me...
Autores principales: | Wang, Xiaofei, Eichhorn, Joshua, Haq, Iqbal, Baghal, Ahmad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101966/ https://www.ncbi.nlm.nih.gov/pubmed/33956824 http://dx.doi.org/10.1371/journal.pone.0251026 |
Ejemplares similares
-
Clustering of Resting State Networks
por: Lee, Megan H., et al.
Publicado: (2012) -
Establishment of Effective Biomarkers for Depression Diagnosis With Fusion of Multiple Resting-State Connectivity Measures
por: Li, Yanling, et al.
Publicado: (2021) -
Resting state functional connectivity patterns as biomarkers of treatment response to escitalopram in patients with major depressive disorder
por: Martens, Marieke A. G., et al.
Publicado: (2021) -
Resting-State Functional Connectivity Impairment in Patients with Major Depressive Episode
por: Stoyanov, Drozdstoy, et al.
Publicado: (2022) -
Altered Resting-State Functional Connectivity of Multiple Networks and Disrupted Correlation With Executive Function in Major Depressive Disorder
por: Liu, Yujie, et al.
Publicado: (2020)