ICA of fMRI Group Study Data

By Markus Svensén, Frithjof Kruggel, Habib Benali. 2002

143 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Signal Processing

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. Elia Formisano
5. Aapo Hyvärinen
6. Rainer Goebel
7. Fabrizio Esposito
8. Johan Himberg

In Signal Processing

1. Vince D. Calhoun
2. Fabrizio Esposito
3. Yuhui Du
4. Johan Himberg
5. Zening Fu
6. Elia Formisano
7. Aapo Hyvärinen
8. Rainer Goebel

Citations in the corpus

• Independent component analysis of fMRI group studies by self-organizing clustering (2005, methodology): “Following the typical matrix notation, they can be referred as column-wise (or subject-wise) (Calhoun et al., 2001c), and row-wise (across time-courses) concatenation (Svensen et al., 2002).”
• Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging (2018, methodology): “The spatial concatenation method concatenates multi-subject fMRI data along the spatial dimension supposing that corresponding ICs of all subjects have common temporal information (Svensén et al., 2002).”
• A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data (2008, unknown): “Despite this, several ICA multi-subject analysis approaches have been proposed (Beckmann and Smith, 2005; Calhoun et al., 2001a; Calhoun et al., 2001b; Calhoun et al., 2004a; Esposito et al., 2005; Guo and Giuseppe, In Press; Lukic et al., 2002; Schmithorst and Holland, 2004; Svensen et al., 2002).”
• Group information guided ICA for fMRI data analysis (2013, unknown): “The spatial concatenation method concatenates multi-subject fMRI data along the spatial dimension supposing that corresponding ICs of all subjects have common temporal information (Svensen et al., 2002).”
• Multi-subject Independent Component Analysis of fMRI: A Decade of Intrinsic Networks, Default Mode, and Neurodiagnostic Discovery (2012, unknown): “Temporal concatenation and spatial concatenation have both been examined [5], [48].”
• Comparison of multi-subject ICA methods for analysis of fMRI data (2010, unknown): “Keywords: ICA; independent component analysis; fMRI; functional; brain; group ICA; backreconstruction; spatio-temporal regression; dual regression r r”