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A novel meta-analytic approach: Mining frequent co-activation patterns in neuroimaging databases

  • Published:2014-04 Issue: Volume:90 Page:390-402
  • ISSN:1053-8119
  • Container-title:NeuroImage
  • language:en
  • Short-container-title:NeuroImage

Author:

Caspers Julian,Zilles Karl,Beierle Christoph,Rottschy Claudia,Eickhoff Simon B.

Funder

R01-MH074457

Initiative and Networking Fund of the Helmholtz Association within the Helmholtz Alliance on Systems Biology

Helmholtz Alliance for Mental Health in an Aging Society

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference52 articles.

1. Fast algorithms for mining association rules. Proc;Agrawal,1994

2. Mining association rules between sets of items in large databases;Agrawal,1993

3. Unified segmentation;Ashburner;NeuroImage,2005

4. Efficient discovery of interesting patterns based on strong closedness;Boley;Stat. Anal. Data Min.,2009

5. PaMiNI: a comprehensive system for mining frequent neuronal patterns of the human brain;Caspers,2012
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