Cargando…
Investigating brain aging trajectory deviations in different brain regions of individuals with schizophrenia using multimodal magnetic resonance imaging and brain-age prediction: a multicenter study
Although many studies on brain-age prediction in patients with schizophrenia have been reported recently, none has predicted brain age based on different neuroimaging modalities and different brain regions in these patients. Here, we constructed brain-age prediction models with multimodal MRI and ex...
Autores principales: | Zhu, Jun-Ding, Wu, Yung-Fu, Tsai, Shih-Jen, Lin, Ching-Po, Yang, Albert C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992684/ https://www.ncbi.nlm.nih.gov/pubmed/36882419 http://dx.doi.org/10.1038/s41398-023-02379-5 |
Ejemplares similares
-
Predicting aging trajectories of decline in brain volume, cortical thickness and fractional anisotropy in schizophrenia
por: Zhu, Jun-Ding, et al.
Publicado: (2023) -
Multimodal Magnetic Resonance Imaging Reveals Aberrant Brain Age Trajectory During Youth in Schizophrenia Patients
por: Huang, Jiayuan, et al.
Publicado: (2022) -
Age-related brain deviations and aggression
por: Holz, Nathalie E., et al.
Publicado: (2023) -
Progressive brain abnormalities in schizophrenia across different illness periods: a structural and functional MRI study
por: Shen, Chen-Lan, et al.
Publicado: (2023) -
The Genetic Architecture of Multimodal Human Brain Age
por: Wen, Junhao, et al.
Publicado: (2023)