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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). Piscataway, NJ, USA: IEEE.

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Lohmann, G1, Autor           
Stelzer, J, Autor           
Zuber, V, Autor
Buschmann, T, Autor
Erb, M, Autor           
Scheffler, K1, Autor                 
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Zusammenfassung: 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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 Datum: 2014-06
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1109/PRNI.2014.6858529
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Veranstaltung

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Titel: 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2014)
Veranstaltungsort: Tübingen, Germany
Start-/Enddatum: 2014-06-04 - 2014-06-06

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Titel: 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2014)
Genre der Quelle: Konferenzband
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Ort, Verlag, Ausgabe: Piscataway, NJ, USA : IEEE
Seiten: 4 Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: ISBN: 978-1-4799-4150-6