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A canonical correlation approach to exploratory data analysis in fMRI
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9267-2191
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Linköping University, Department of Medical and Health Sciences, Radiation Physics. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Radiation Physics.ORCID iD: 0000-0001-8661-2232
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
2002 (English)Conference paper, Published paper (Other academic)
Abstract [en]

A computationally efficient data-driven method for exploratory analysis of functional MRI data is presented. The basic idea is to reveal underlying components in the fMRI data that have maximum autocorrelation. The tool for accomplishing this task is Canonical Correlation Analysis. The proposed method is more robust and much more computationally efficient than independent component analysis, which previously has been applied in fMRI.

Place, publisher, year, edition, pages
2002.
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-24523Local ID: 6655OAI: oai:DiVA.org:liu-24523DiVA: diva2:244844
Conference
ISMRM 10th Scientific Meeting & Exhibition, 18-24 May 2002, Honolulu, Hawai’i, USA
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2014-10-08Bibliographically approved

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Borga, MagnusFriman, OlaLundberg, PeterKnutsson, Hans

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Medical InformaticsThe Institute of TechnologyCenter for Medical Image Science and Visualization (CMIV)Radiation PhysicsFaculty of Health SciencesDepartment of Radiation Physics
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