Group information guided ICA for fMRI data analysis

By Yuhui Du, Yong Fan. NeuroImage, 2013

373 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Signal Processing

View Paper: https://www.semanticscholar.org/paper/0f9cfe7418895e948f1a0fd8d07bf855b84c34f9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Zening Fu
2. Yuhui Du
3. Vince D. Calhoun
4. T. Adalı
5. Godfrey D. Pearlson
6. Elena A. Allen
7. Erik B. Erhardt
8. Tom Eichele

In Signal Processing

1. Yuhui Du
2. Zening Fu
3. Vince D. Calhoun
4. T. Adalı
5. Godfrey D. Pearlson
6. Elena A. Allen

Citations in the corpus

• Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging (2018, methodology): “These popular approaches include spatial independent component analysis (ICA) (Calhoun et al., 2001; Calhoun and Adali, 2012; Du and Fan, 2013; Du et al., 2016; Calhoun and De Lacy, 2017), principle component analysis (PCA), and clustering methods (Van Den Heuvel et al.”