Cargando…
Brain disorder prediction with dynamic multivariate spatio-temporal features: Application to Alzheimer’s disease and autism spectrum disorder
The dynamic functional connectivity (dFC) in functional magnetic resonance imaging (fMRI) is beneficial for the analysis and diagnosis of neurological brain diseases. The dFCs between regions of interest (ROIs) are generally delineated by a specific template and clustered into multiple different sta...
Autores principales: | Qiao, Jianping, Wang, Rong, Liu, Hongjia, Xu, Guangrun, Wang, Zhishun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468323/ https://www.ncbi.nlm.nih.gov/pubmed/36110425 http://dx.doi.org/10.3389/fnagi.2022.912895 |
Ejemplares similares
Ejemplares similares
-
Aberrant Functional Network Connectivity as a Biomarker of Generalized Anxiety Disorder
por: Qiao, Jianping, et al.
Publicado: (2017) -
CNNG: A Convolutional Neural Networks With Gated Recurrent Units for Autism Spectrum Disorder Classification
por: Jiang, Wenjing, et al.
Publicado: (2022) -
Editorial: Neuroimaging Biomarkers and Cognition in Alzheimer's Disease Spectrum
por: Chen, Jiu, et al.
Publicado: (2022) -
Multivariate Deep Learning Classification of Alzheimer’s Disease Based on Hierarchical Partner Matching Independent Component Analysis
por: Qiao, Jianping, et al.
Publicado: (2018) -
Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features
por: Zheng, Xiaowei, et al.
Publicado: (2023)