Cargando…
Support Vector Machine for Analyzing Contributions of Brain Regions During Task-State fMRI
The mainstream method used for the analysis of task functional Magnetic Resonance Imaging (fMRI) data, is to obtain task-related active brain regions based on generalized linear models. Machine learning as a data-driven technical method is increasingly used in fMRI data analysis. The language task d...
Autores principales: | Wang, Mengyue, Li, Chunlin, Zhang, Wenjing, Wang, Yonghao, Feng, Yuan, Liang, Ying, Wei, Jing, Zhang, Xu, Li, Xia, Chen, Renji |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6414418/ https://www.ncbi.nlm.nih.gov/pubmed/30894812 http://dx.doi.org/10.3389/fninf.2019.00010 |
Ejemplares similares
-
Prediction of Task-Related BOLD fMRI with Amplitude Signatures of Resting-State fMRI
por: Kannurpatti, Sridhar S., et al.
Publicado: (2012) -
Random support vector machine cluster analysis of resting-state fMRI in Alzheimer's disease
por: Bi, Xia-an, et al.
Publicado: (2018) -
Variational relevance evaluation of individual fMRI data enables deconstruction of task-dependent neural dynamics
por: Lv, Xiaoyu, et al.
Publicado: (2023) -
Network Connectivity in Epilepsy: Resting State fMRI and EEG–fMRI Contributions
por: Centeno, Maria, et al.
Publicado: (2014) -
Weighted Random Support Vector Machine Clusters Analysis of Resting-State fMRI in Mild Cognitive Impairment
por: Bi, Xia-an, et al.
Publicado: (2018)