Cargando…
Classification of Depression Through Resting-State Electroencephalogram as a Novel Practice in Psychiatry: Review
BACKGROUND: Machine learning applications in health care have increased considerably in the recent past, and this review focuses on an important application in psychiatry related to the detection of depression. Since the advent of computational psychiatry, research based on functional magnetic reson...
Autores principales: | Čukić, Milena, López, Victoria, Pavón, Juan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671839/ https://www.ncbi.nlm.nih.gov/pubmed/33141088 http://dx.doi.org/10.2196/19548 |
Ejemplares similares
-
Functional role of frontal electroencephalogram alpha asymmetry in the resting state in patients with depression: A review
por: Xie, Yu-Hong, et al.
Publicado: (2023) -
Altered cortical functional network in major depressive disorder: A resting-state electroencephalogram study
por: Shim, Miseon, et al.
Publicado: (2018) -
Progress in Objective Detection of Depression and Online Monitoring of Patients Based on Physiological Complexity
por: Čukić, Milena, et al.
Publicado: (2022) -
Verbal intelligence and leisure activities are associated with cognitive performance and resting-state electroencephalogram
por: Ferrari-Díaz, Martina, et al.
Publicado: (2022) -
Deviant Dynamics of Resting State Electroencephalogram Microstate in Patients With Subjective Tinnitus
por: Cai, Yuexin, et al.
Publicado: (2018)