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  Single subject fMRI test-retest reliability metrics and confounding factors

Gorgolewski, K. J., Storkey, A. J., Bastin, M. E., Whittle, I., & Pernet, C. (2013). Single subject fMRI test-retest reliability metrics and confounding factors. NeuroImage, 69, 231-243. doi:10.1016/j.neuroimage.2012.10.085.

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Gorgolewski et al. - 2013 - Single subject fMRI test-retest reliability metrics and confounding factors.pdf (Postprint), 2MB
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Gorgolewski et al. - 2013 - Single subject fMRI test-retest reliability metrics and confounding factors.pdf
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Gorgolewski, Krzysztof J.1, 2, Author           
Storkey, Amos J3, Author
Bastin, Mark E2, Author
Whittle, Ian4, Author
Pernet, Cyril2, Author
Affiliations:
1Neuroinformatics and Computational Neuroscience Doctoral Training Centre, University of Edinburgh, United Kingdom, ou_persistent22              
2Brain Research Imaging Centre, University of Edinburgh, United Kingdom, ou_persistent22              
3Institute for Adaptive and Neural Computation, University of Edinburgh, United Kingdom, ou_persistent22              
4Division of Clinical Neurosciences, University of Edinburgh, United Kingdom, ou_persistent22              

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Free keywords: fMRI; Reliability; Single subject; Test–retest; Dice; T value variance; Time-series correlation
 Abstract: While the fMRI test–retest reliability has been mainly investigated from the point of view of group level studies, here we present analyses and results for single-subject test–retest reliability. One important aspect of group level reliability is that not only does it depend on between-session variance (test–retest), but also on between-subject variance. This has partly led to a debate regarding which reliability metric to use and how different sources of noise contribute to between-session variance. Focusing on single subject reliability allows considering between-session only. In this study, we measured test–retest reliability in four behavioural tasks (motor mapping, covert verb generation, overt word repetition, and a landmark identification task) to ensure generalisation of the results and at three levels of data processing (time-series correlation, t value variance, and overlap of thresholded maps) to understand how each step influences the other and how confounding factors influence reliability at each of these steps. The contributions of confounding factors (scanner noise, subject motion, and coregistration) were investigated using multiple regression and relative importance analyses at each step. Finally, to achieve a fuller picture of what constitutes a reliable task, we introduced a bootstrap technique of within- vs. between-subject variance. Our results show that (i) scanner noise and coregistration errors have little contribution to between-session variance (ii) subject motion (especially correlated with the stimuli) can have detrimental effects on reliability (iii) different tasks lead to different reliability results. This suggests that between-session variance in fMRI is mostly caused by the variability of underlying cognitive processes and motion correlated with the stimuli rather than technical limitations of data processing.

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Language(s): eng - English
 Dates: 2012-10-302012-11-132013-04-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2012.10.085
PMID: 23153967
Other: Epub 2012
 Degree: -

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 69 Sequence Number: - Start / End Page: 231 - 243 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166