A hybrid SVM-GLM approach for fMRI data analysis

@article{Wang2009AHS,
  title={A hybrid SVM-GLM approach for fMRI data analysis},
  author={Ze Wang},
  journal={NeuroImage},
  year={2009},
  volume={46 3},
  pages={608-15}
}
The hypothesis-driven fMRI data analysis methods, represented by the conventional general linear model (GLM), have a strictly defined statistical framework for assessing regionally specific activations but require prior brain response modeling that is usually hard to be accurate. On the contrary, exploratory methods, like the support vector machine (SVM… CONTINUE READING