Characterization of BOLD activation in multi-echo fMRI data using fuzzy cluster analysis and a comparison with quantitative modeling

Barth, Markus, Windischberger, Christian, Klarhofer, Markus and Moser, Ewald (2001) Characterization of BOLD activation in multi-echo fMRI data using fuzzy cluster analysis and a comparison with quantitative modeling. NMR in Biomedicine, 14 7-8: 484-489. doi:10.1002/nbm.737


Author Barth, Markus
Windischberger, Christian
Klarhofer, Markus
Moser, Ewald
Title Characterization of BOLD activation in multi-echo fMRI data using fuzzy cluster analysis and a comparison with quantitative modeling
Journal name NMR in Biomedicine   Check publisher's open access policy
ISSN 0952-3480
1099-1492
Publication date 2001-11
Year available 2001
Sub-type Article (original research)
DOI 10.1002/nbm.737
Open Access Status Not yet assessed
Volume 14
Issue 7-8
Start page 484
End page 489
Total pages 6
Place of publication Chichester, West Sussex, United Kingdom
Publisher John Wiley & Sons
Language eng
Formatted abstract
A combination of multiple gradient-echo imaging and exploratory data analysis (EDA), i.e. fuzzy cluster analysis (FCA), is proposed for separation and characterization of BOLD activation in single-shot spiral functional magnetic resonance imaging (fMRI) experiments at 3 T. Differentiation of functional activation using FCA is performed by clustering pixel signal changes (ΔS) as a function of echo time (TE). Further vascular classification is supported by the localization of activation and the comparison with a single-exponential decay model. In some subjects, an additional indication for large vessels within a voxel was found as oscillation of the fMRI signal difference vs echo time (TE). Such large vessels may be separated from small vessel activation and, therefore, our proposed procedure might prove useful if a more specific functional localization is desired in fMRI. In addition to the signal change ΔS, ΔT2 */T2 * is significantly different between activated regions. Averaged over all eight subjects ΔT2* is 1.7 ± 0.2 ms in ROIs with the highest signal change characterized as containing large vessels, whereas in ROIs corresponding to microvascular environment average ΔT2* values are 0.8 ± 0.1 ms. 
Keyword BOLD
EDA
Functional MRI
Fuzzy clustering
High field
Multiple gradient-echo
Human brain
Motor cortex
Spiral imaging
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Centre for Advanced Imaging Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 10 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 20 Mar 2014, 08:28:36 EST by System User on behalf of Learning and Research Services (UQ Library)