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Detection of neural activity in functional MRI using canonical correlation analysis.
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). 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.
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2001 (English)Conference paper, Poster (Other academic)
Abstract [en]

A novel method for detecting neural activity in functional magnetic resonance imaging (fMRI) data is introduced. It is based on canonical correlation analysis (CCA), which is a multivariate extension of the univariate correlation analysis widely used in fMRI. To detect homogeneous regions of activity, the method combines a subspace modeling of the hemodynamic response and the use of spatial relationships. The spatial correlation that undoubtedly exists in fMR images is completely ignored when univariate methods such as as t-tests, F-tests, and ordinary correlation analysis are used. Such methods are for this reason very sensitive to noise, leading to difficulties in detecting activation and significant contributions of false activations. In addition, the proposed CCA method also makes it possible to detect activated brain regions based not only on thresholding a correlation coefficient, but also on physiological parameters such as temporal shape and delay of the hemodynamic response. Excellent performance on real fMRI data is demonstrated. Magn Reson Med 45:323-330, 2001

Place, publisher, year, edition, pages
2001. Vol. 45, 323-330 p.
National Category
Medical Image Processing
URN: urn:nbn:se:liu:diva-117299PubMedID: 11180440OAI: diva2:807260
Meeting of the Swedish Biophysical Society
Available from: 2015-04-23 Created: 2015-04-23 Last updated: 2015-04-28

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Lundberg, PeterFriman, Ola
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Division of Radiological SciencesFaculty of Health SciencesCenter for Medical Image Science and Visualization (CMIV)Department of Radiation PhysicsMedical InformaticsThe Institute of Technology
Medical Image Processing

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ReferencesLink to record
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