Permutation testing of orthogonal factorial effects in a language-processing experiment using fMRI
The block‐paradigm of the Functional Image Analysis Contest (FIAC) dataset was analysed with the Brain Activation and Morphological Mapping software. Permutation methods in the wavelet domain were used for inference on cluster‐based test statistics of orthogonal contrasts relevant to the factorial d...
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Published in | Human brain mapping Vol. 27; no. 5; pp. 425 - 433 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.05.2006
Wiley |
Subjects | |
Online Access | Get full text |
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Summary: | The block‐paradigm of the Functional Image Analysis Contest (FIAC) dataset was analysed with the Brain Activation and Morphological Mapping software. Permutation methods in the wavelet domain were used for inference on cluster‐based test statistics of orthogonal contrasts relevant to the factorial design of the study, namely: the average response across all active blocks, the main effect of speaker, the main effect of sentence, and the interaction between sentence and speaker. Extensive activation was seen with all these contrasts. In particular, different vs. same‐speaker blocks produced elevated activation in bilateral regions of the superior temporal lobe and repetition suppression for linguistic materials (same vs. different‐sentence blocks) in left inferior frontal regions. These are regions previously reported in the literature. Additional regions were detected in this study, perhaps due to the enhanced sensitivity of the methodology. Within‐block sentence suppression was tested post‐hoc by regression of an exponential decay model onto the extracted time series from the left inferior frontal gyrus, but no strong evidence of such an effect was found. The significance levels set for the activation maps are P‐values at which we expect <1 false‐positive cluster per image. Nominal type I error control was verified by empirical testing of a test statistic corresponding to a randomly ordered design matrix. The small size of the BOLD effect necessitates sensitive methods of detection of brain activation. Permutation methods permit the necessary flexibility to develop novel test statistics to meet this challenge. Hum Brain Mapp27:425–433, 2006. © 2006 Wiley‐Liss, Inc. |
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Bibliography: | Human Brain Project grant from the National Institute of Biomedical Imaging & Bioengineering and the National Institute of Mental Health ArticleID:HBM20252 ark:/67375/WNG-7T58JC35-7 istex:0986EAFF435B0C139783E625748D5D4E921F5840 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1065-9471 1097-0193 |
DOI: | 10.1002/hbm.20252 |