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Restricted Canonical Correlation Analysis in Functional MRI-Validation and a Novel Thresholding Technique
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Radiology. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Centre for Medical Imaging, Department of Radiology in Linköping.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Radiology. Linköping University, Faculty of Health Sciences.ORCID iD: 0000-0002-2167-2450
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Biomedical Instrumentation. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Clinical and Experimental Medicine, Neurology. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Local Health Care Services in Central Östergötland, Department of Neurology.
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2009 (English)In: Journal of Magnetic Resonance Imaging, ISSN 1053-1807, E-ISSN 1522-2586, Vol. 29, no 1, 146-154 p.Article in journal (Refereed) Published
Abstract [en]

Purpose: To validate the performance of an analysis method for fMRI data based on restricted canonical correlation analysis (rCCA) and adaptive filtering, and to increase the usability of the method by introducing a new technique for significance estimation of rCCA maps.

Materials and Methods: Activation data from a language task and also a resting state fMRI data were collected from eight volunteers. Data was analyzed using both the rCCA method and the General Linear Model (GLM). A modified Receiver Operating Characteristic (ROC) method was used to evaluate the performance of the different analysis methods. The area under a fraction of the ROC curve was used as a measure of performance. On resting state data the fraction of voxels above certain significance thresholds were used to evaluate the significance estimation method.

Results: The rCCA method scored significantly higher on the area under the ROC curve than the GLM. The fraction of activated voxels determined by thresholding according to the introduced significance estimation technique showed good agreement with the thresholds selected.

Conclusion: The rCCA method is an effective analysis tool for fMRI data and its usability is increased with the introduced significance estimation method.

Place, publisher, year, edition, pages
2009. Vol. 29, no 1, 146-154 p.
Keyword [en]
fMRI, GLM, canonical correlation analysis, thresholding, significance
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-16411DOI: 10.1002/jmri.21494ISI: 000262168200019OAI: oai:DiVA.org:liu-16411DiVA: diva2:139536
Available from: 2009-01-23 Created: 2009-01-23 Last updated: 2017-12-14Bibliographically approved
In thesis
1. Functional Magnetic Resonance Imaging for Clinical Diagnosis: Exploring and Improving the Examination Chain
Open this publication in new window or tab >>Functional Magnetic Resonance Imaging for Clinical Diagnosis: Exploring and Improving the Examination Chain
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Functional Magnetic Resonance Imaging (fMRI) is a relatively new imaging technique, first reported in 1992, which enables mapping of brain functions with high spatial resolution. Functionally active areas are distinguished by a small signal increase mediated by changes in local blood oxygenation in response to neural activity. The ability to non-invasively map brain function and the large number of MRI scanners quickly made the method very popular, and fMRI have had a huge impact on the study of brain function, both in healthy and diseased subjects.

The most common clinical application of fMRI is pre-surgical mapping of brain functions in order to optimise surgical interventions. The clinical fMRI examination procedure can be divided into four integrated parts: (1) patient preparation, (2) image acquisition, (3) image analysis and (4) clinical decision. In this thesis, important aspects of all parts of the fMRI examination procedure are explored with the aim to provide recommendations and methods for prosperous clinical usage of the technique.

The most important results of the thesis were: (I) administration of low doses of diazepam to reduce anxiety did not invalidate fMRI mapping results of primary motor and language areas, (II) the choice of visual stimuli equipment can have severe impact on the mapping of visual areas, (III) three-dimensional fMRI imaging sequences did not perform better than two-dimensional imaging sequences, (IV) adaptive spatial filtering can improve the fMRI data analysis, (V) clinical decisions should not be based on activation results from a single statistical threshold.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2009. 73 p.
Series
Linköping University Medical Dissertations, ISSN 0345-0082 ; 1121
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
urn:nbn:se:liu:diva-18095 (URN)978-91-7393-645-3 (ISBN)
Public defence
2009-06-02, Majoren, Brigaden Restaurang & Konferens, Brigadgatan 17, 587 58 Linköping, Linköping, 09:15 (Swedish)
Opponent
Supervisors
Available from: 2009-05-06 Created: 2009-05-06 Last updated: 2014-10-02Bibliographically approved

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Ragnehed, MattiasEngström, MariaKnutsson, HansAxelsson Söderfeldt, BirgittaLundberg, Peter

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Ragnehed, MattiasEngström, MariaKnutsson, HansAxelsson Söderfeldt, BirgittaLundberg, Peter
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Center for Medical Image Science and Visualization (CMIV)RadiologyFaculty of Health SciencesDepartment of Radiology in LinköpingBiomedical InstrumentationThe Institute of TechnologyNeurologyDepartment of NeurologyRadiation PhysicsDepartment of Radiation Physics
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