Journal Article10.1016/J.MRI.2008.05.021
Evaluation and optimization of fMRI single-subject processing pipelines with NPAIRS and second-level CVA.
Jing Zhang,Jing Zhang,Jon R. Anderson,Lichen Liang,Sujit K. Pulapura,Laël C. Gatewood,David A. Rottenberg,Stephen C. Strother,Stephen C. Strother +8 more
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TL;DR: It is suggested that considering options other than simply using GLM with a fixed spatial filter may be of critical importance in determining activation patterns in BOLD fMRI studies.
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About: This article is published in Magnetic Resonance Imaging. The article was published on 01 Feb 2009. The article focuses on the topics: Univariate & Smoothing.
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Citations
Data-driven optimization and evaluation of 2D EPI and 3D PRESTO for BOLD fMRI at 7 Tesla: I. Focal coverage
Robert L. Barry,Robert L. Barry,Stephen C. Strother,J. Christopher Gatenby,J. Christopher Gatenby,J. Christopher Gatenby,John C. Gore,John C. Gore +7 more
TL;DR: Evidence is provided to support the use of 3D multi-shot acquisition sequences in lieu of single-shot EPI for ultra high field BOLD fMRI at 7T.
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Comparing within-subject classification and regularization methods in fMRI for large and small sample sizes
TL;DR: It is shown that the classifier model has a small impact on signal detection, compared to the choice of regularizer, and trends in classifier performance are consistent across task contrasts and data sizes, and are consistent for ROI‐based classifier analyses.
•Proceedings Article
VISUALIZATION OF NONLINEAR CLASSIFICATION MODELS IN NEUROIMAGING - Signed Sensitivity Maps
Peter Mondrup Rasmussen,Tanya Schmah,Kristoffer Hougaard Madsen,Torben Ellegaard Lund,Grigori Yourganov,Stephen C. Strother,Lars Kai Hansen +6 more
- 01 Jan 2012
TL;DR: This work focuses on the generation of summary maps of a nonlinear classifier, that reveal how the classifier works in different parts of the input domain, unlike earlier related methods.
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Improving fMRI reliability in presurgical mapping for brain tumours
TL;DR: ROC-r analysis for identifying reliable fMRI data sets, choosing optimal postprocessing pipelines, and selecting patient-specific thresholds is demonstrated, providing optimised and automated fMRI processing for improved presurgical mapping.
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Complex and magnitude-only preprocessing of 2D and 3D BOLD fMRI data at 7 T.
TL;DR: The hypothesis that a complex preprocessing pipeline is preferable to a magnitude‐only pipeline is supported, and it is suggested that functional magnetic resonance imaging studies should retain complex images and externally monitor subjects' respiratory and cardiac cycles so that these supplementary data may be used to retrospectively reduce noise and enhance overall data quality.
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