Abstract
The Functional Imaging Analysis Contest (FIAC) culminated in the FIAC Workshop held at the 11th Annual Meeting of the Organization for Human Brain Mapping in Toronto in 2005. This special issue summarizes various analyses used by contestants with a single functional magnetic resonance imaging (fMRI) study, a cortical-language study using sentence repetition. The results from the cognitive neuroscientists who developed the test-base language study, and report their data analysis, are complemented by expert analyses of the same test-base data by most of the major groups actively developing fMRI software packages. Analyses include many variants of the general linear model (GLM), cutting-edge spatial- and temporal-wavelets, permutation-based, and ICA approaches. A number of authors also include surface-based approaches. Several articles describe the important emerging areas of diagnostics for GLM analysis, multivariate predictive modeling, and functional connectivity analysis. While the FIAC did not achieve all of its goals, it helped identify new activation regions in the test-base data, and more important, through this special issue it illustrates the significant methods-driven variability that potentially exists in the literature. Variable results from different methods reported here should provide a cautionary note and motivate the Human Brain Mapping community to explore more thoroughly the methodologies they use for analyzing fMRI data.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 351-359 |
| Number of pages | 9 |
| Journal | Human Brain Mapping |
| Volume | 27 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2006 |
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ASJC Scopus subject areas
- Clinical Neurology
- Neuroscience(all)
- Radiological and Ultrasound Technology
Cite this
Motivation and synthesis of the FIAC experiment : Reproducibility of fMRI results across expert analyses. / Poline, Jean Baptiste; Strother, Stephen C.; Dehaene-Lambertz, Ghislaine; Egan, Gary F.; Lancaster, Jack L.
In: Human Brain Mapping, Vol. 27, No. 5, 05.2006, p. 351-359.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Motivation and synthesis of the FIAC experiment
T2 - Reproducibility of fMRI results across expert analyses
AU - Poline, Jean Baptiste
AU - Strother, Stephen C.
AU - Dehaene-Lambertz, Ghislaine
AU - Egan, Gary F.
AU - Lancaster, Jack L
PY - 2006/5
Y1 - 2006/5
N2 - The Functional Imaging Analysis Contest (FIAC) culminated in the FIAC Workshop held at the 11th Annual Meeting of the Organization for Human Brain Mapping in Toronto in 2005. This special issue summarizes various analyses used by contestants with a single functional magnetic resonance imaging (fMRI) study, a cortical-language study using sentence repetition. The results from the cognitive neuroscientists who developed the test-base language study, and report their data analysis, are complemented by expert analyses of the same test-base data by most of the major groups actively developing fMRI software packages. Analyses include many variants of the general linear model (GLM), cutting-edge spatial- and temporal-wavelets, permutation-based, and ICA approaches. A number of authors also include surface-based approaches. Several articles describe the important emerging areas of diagnostics for GLM analysis, multivariate predictive modeling, and functional connectivity analysis. While the FIAC did not achieve all of its goals, it helped identify new activation regions in the test-base data, and more important, through this special issue it illustrates the significant methods-driven variability that potentially exists in the literature. Variable results from different methods reported here should provide a cautionary note and motivate the Human Brain Mapping community to explore more thoroughly the methodologies they use for analyzing fMRI data.
AB - The Functional Imaging Analysis Contest (FIAC) culminated in the FIAC Workshop held at the 11th Annual Meeting of the Organization for Human Brain Mapping in Toronto in 2005. This special issue summarizes various analyses used by contestants with a single functional magnetic resonance imaging (fMRI) study, a cortical-language study using sentence repetition. The results from the cognitive neuroscientists who developed the test-base language study, and report their data analysis, are complemented by expert analyses of the same test-base data by most of the major groups actively developing fMRI software packages. Analyses include many variants of the general linear model (GLM), cutting-edge spatial- and temporal-wavelets, permutation-based, and ICA approaches. A number of authors also include surface-based approaches. Several articles describe the important emerging areas of diagnostics for GLM analysis, multivariate predictive modeling, and functional connectivity analysis. While the FIAC did not achieve all of its goals, it helped identify new activation regions in the test-base data, and more important, through this special issue it illustrates the significant methods-driven variability that potentially exists in the literature. Variable results from different methods reported here should provide a cautionary note and motivate the Human Brain Mapping community to explore more thoroughly the methodologies they use for analyzing fMRI data.
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UR - http://www.scopus.com/inward/citedby.url?scp=33646861200&partnerID=8YFLogxK
U2 - 10.1002/hbm.20268
DO - 10.1002/hbm.20268
M3 - Article
C2 - 16583364
AN - SCOPUS:33646861200
VL - 27
SP - 351
EP - 359
JO - Human Brain Mapping
JF - Human Brain Mapping
SN - 1065-9471
IS - 5
ER -