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  Correlation bundle statistics in fMRI data

Lohmann, G., Stelzer, J., Zuber, V., Buschmann, T., Erb, M., & Scheffler, K. (2014). Correlation bundle statistics in fMRI data. In 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2014) (pp. 1-4). Piscataway, NJ, USA: IEEE.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-809C-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-2D30-7
Genre: Conference Paper

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6858529 (Publisher version)
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 Creators:
Lohmann, G1, 2, Author           
Stelzer, Johannes, Author           
Zuber, V, Author
Buschmann, T, Author
Erb, M1, 2, Author           
Scheffler, K1, 2, Author           
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Abstract: Traditionally fMRI data analysis aims at identifying brain areas in which the amplitude of the BOLD signal responds to experimental stimulations. However, since the brain acts as a network, we would expect differential effects on network topology. Therefore, the target of statistical inference should not only be individual voxels or brain areas but rather network connections. Here we introduce a new approach to correlation-based statistics in fMRI. At the heart of our approach is the concept of correlation bundles as a functional analogy to anatomical fibre bundles. Statistical tests are applied to these bundles using large-scale inference methods such as FDR. We call this approach correlation bundle statistics (CBS). In contrast to previous correlation-based approaches to fMRI statistics, CBS does not require a presegmentation or smoothing of the data so that anatomical specificity is preserved. The result of a CBS analysis is not a set of voxels or brain regions but rather a set of correlation bundles that are found to be significantly affected by some experimental manipulation.

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 Dates: 2014-06
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/PRNI.2014.6858529
BibTex Citekey: LohmannSZBES2014
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Title: 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2014)
Place of Event: Tübingen, Germany
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Title: 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2014)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 4 Identifier: ISBN: 978-1-4799-4150-6