Cargando…
Functional connectome fingerprint of sleep quality in insomnia patients: Individualized out-of-sample prediction using machine learning
OBJECTIVES: Insomnia disorder has been reclassified into short-term/acute and chronic subtypes based on recent etiological advances. However, understanding the similarities and differences in the neural mechanisms underlying the two subtypes and accurately predicting the sleep quality remain challen...
Autores principales: | Ma, Xiaofen, Wu, Dongyan, Mai, Yuanqi, Xu, Guang, Tian, Junzhang, Jiang, Guihua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522804/ https://www.ncbi.nlm.nih.gov/pubmed/32980600 http://dx.doi.org/10.1016/j.nicl.2020.102439 |
Ejemplares similares
-
Aberrant single-subject morphological cerebellar connectome in chronic insomnia
por: Ma, Yuqin, et al.
Publicado: (2023) -
Enhanced functional connectome of cerebellum in chronic insomnia patients
por: Lin, Shiqi, et al.
Publicado: (2023) -
Aberrant Functional Connectome in Neurologically Asymptomatic Patients with End-Stage Renal Disease
por: Ma, Xiaofen, et al.
Publicado: (2015) -
Reduced clinical connectome fingerprinting in multiple sclerosis predicts fatigue severity
por: Cipriano, Lorenzo, et al.
Publicado: (2023) -
Constructing Compact Signatures for Individual Fingerprinting of Brain Connectomes
por: Ravindra, Vikram, et al.
Publicado: (2021)