Cargando…
Neuroimaging-Based Brain Age Estimation: A Promising Personalized Biomarker in Neuropsychiatry
It is now possible to estimate an individual’s brain age via brain scans and machine-learning models. This validated technique has opened up new avenues for addressing clinical questions in neurology, and, in this review, we summarize the many clinical applications of brain-age estimation in neurops...
Autores principales: | Sone, Daichi, Beheshti, Iman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695293/ https://www.ncbi.nlm.nih.gov/pubmed/36579560 http://dx.doi.org/10.3390/jpm12111850 |
Ejemplares similares
-
Neuroimaging-based brain-age prediction in diverse forms of epilepsy: a signature of psychosis and beyond
por: Sone, Daichi, et al.
Publicado: (2019) -
T1-weighted MRI-driven Brain Age Estimation in Alzheimer’s Disease and Parkinson’s Disease
por: Beheshti, Iman, et al.
Publicado: (2019) -
Neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: A community-based study
por: Sone, Daichi, et al.
Publicado: (2022) -
Clinical Application of Machine Learning Models for Brain Imaging in Epilepsy: A Review
por: Sone, Daichi, et al.
Publicado: (2021) -
Brain age and other bodily ‘ages’: implications for neuropsychiatry
por: Cole, James H., et al.
Publicado: (2018)