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  A test-retest fMRI dataset for motor, language and spatial attention functions

Gorgolewski, K. J., Storkey, A., Bastin, M. E., Whittle, I. R., Wardlaw, J. M., & Pernet, C. R. (2013). A test-retest fMRI dataset for motor, language and spatial attention functions. GigaScience, 2: 6. doi:10.1186/2047-217X-2-6.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-4F28-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-87C9-2
Genre: Journal Article

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Gorgolewski_Storkey_2013.pdf (Publisher version), 178KB
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 Creators:
Gorgolewski, Krzysztof J.1, Author              
Storkey, Amos1, Author
Bastin, Mark E2, Author
Whittle, Ian R3, Author
Wardlaw, Joanna M2, Author
Pernet, Cyril R2, Author
Affiliations:
1Institute for Adaptive and Neural Computation, University of Edinburgh, United Kingdom, ou_persistent22              
2Brain Research Imaging Centre, University of Edinburgh, United Kingdom, ou_persistent22              
3Division of Clinical Neurosciences, University of Edinburgh, United Kingdom, ou_persistent22              

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Free keywords: Test-retest; Overt verb generation; Covert verb generation; Overt word repetition; Landmark; Motor; fMRI; DTI
 Abstract: Background Since its inception over twenty years ago, functional magnetic resonance imaging (fMRI) has been used in numerous studies probing neural underpinnings of human cognition. However, the between session variance of many tasks used in fMRI remains understudied. Such information is especially important in context of clinical applications. A test-retest dataset was acquired to validate fMRI tasks used in pre-surgical planning. In particular, five task-related fMRI time series (finger, foot and lip movement, overt verb generation, covert verb generation, overt word repetition, and landmark tasks) were used to investigate which protocols gave reliable single-subject results. Ten healthy participants in their fifties were scanned twice using an identical protocol 2–3 days apart. In addition to the fMRI sessions, high-angular resolution diffusion tensor MRI (DTI), and high-resolution 3D T1-weighted volume scans were acquired. Findings Reliability analyses of fMRI data showed that the motor and language tasks were reliable at the subject level while the landmark task was not, despite all paradigms showing expected activations at the group level. In addition, differences in reliability were found to be mostly related to the tasks themselves while task-by-motion interaction was the major confounding factor. Conclusions Together, this dataset provides a unique opportunity to investigate the reliability of different fMRI tasks, as well as methods and algorithms used to analyze, de-noise and combine fMRI, DTI and structural T1-weighted volume data.

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Language(s): eng - English
 Dates: 2013-01-162013-04-092013-04-292013-12
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: PMC: 3641991
PMID: 23628139
DOI: 10.1186/2047-217X-2-6
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Title: GigaScience
Source Genre: Journal
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Publ. Info: London : BioMed Central
Pages: - Volume / Issue: 2 Sequence Number: 6 Start / End Page: - Identifier: ISSN: 2047-217X
CoNE: https://pure.mpg.de/cone/journals/resource/2047-217X