Template based rotation: A method for functional connectivity analysis with a priori templates
Functional connectivity magnetic resonance imaging (fcMRI) is a powerful tool for understanding the network level organization of the brain in research settings and is increasingly being used to study large-scale neuronal network degeneration in clinical trial settings. Presently, a variety of techn...
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| Published in: | NeuroImage (Orlando, Fla.) Vol. 102; no. 2; pp. 620 - 636 |
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| Main Authors: | , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Amsterdam
Elsevier Inc
15.11.2014
Elsevier Elsevier Limited |
| Subjects: | |
| ISSN: | 1053-8119, 1095-9572, 1095-9572 |
| Online Access: | Get full text |
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| Summary: | Functional connectivity magnetic resonance imaging (fcMRI) is a powerful tool for understanding the network level organization of the brain in research settings and is increasingly being used to study large-scale neuronal network degeneration in clinical trial settings. Presently, a variety of techniques, including seed-based correlation analysis and group independent components analysis (with either dual regression or back projection) are commonly employed to compute functional connectivity metrics. In the present report, we introduce template based rotation,11TBR MATLAB source code and template maps are available at: http://mrtools.mgh.harvard.edu/index.php/TBR. a novel analytic approach optimized for use with a priori network parcellations, which may be particularly useful in clinical trial settings. Template based rotation was designed to leverage the stable spatial patterns of intrinsic connectivity derived from out-of-sample datasets by mapping data from novel sessions onto the previously defined a priori templates. We first demonstrate the feasibility of using previously defined a priori templates in connectivity analyses, and then compare the performance of template based rotation to seed based and dual regression methods by applying these analytic approaches to an fMRI dataset of normal young and elderly subjects. We observed that template based rotation and dual regression are approximately equivalent in detecting fcMRI differences between young and old subjects, demonstrating similar effect sizes for group differences and similar reliability metrics across 12 cortical networks. Both template based rotation and dual-regression demonstrated larger effect sizes and comparable reliabilities as compared to seed based correlation analysis, though all three methods yielded similar patterns of network differences. When performing inter-network and sub-network connectivity analyses, we observed that template based rotation offered greater flexibility, larger group differences, and more stable connectivity estimates as compared to dual regression and seed based analyses. This flexibility owes to the reduced spatial and temporal orthogonality constraints of template based rotation as compared to dual regression. These results suggest that template based rotation can provide a useful alternative to existing fcMRI analytic methods, particularly in clinical trial settings where predefined outcome measures and conserved network descriptions across groups are at a premium.
•Out-of-sample, a priori network templates (OST) can be used to analyze novel data.•Using OST improves network uniformity and comparability in clinical trial settings.•Dual regression and template based rotation-TBR can both make efficient use of OST.•TBR makes no orthogonality assumptions, facilitating sub/inter-network analyses.•Using OST with TBR is an attractive option in clinical trial settings. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 1053-8119 1095-9572 1095-9572 |
| DOI: | 10.1016/j.neuroimage.2014.08.022 |