Title |
A test-retest fMRI dataset for motor, language and spatial attention functions
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Published in |
Giga Science, April 2013
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DOI | 10.1186/2047-217x-2-6 |
Pubmed ID | |
Authors |
Krzysztof J Gorgolewski, Amos Storkey, Mark E Bastin, Ian R Whittle, Joanna M Wardlaw, Cyril R Pernet |
Abstract |
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. |
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Geographical breakdown
Country | Count | As % |
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United Kingdom | 4 | 17% |
United States | 4 | 17% |
Japan | 2 | 9% |
Ireland | 1 | 4% |
Mexico | 1 | 4% |
Korea, Republic of | 1 | 4% |
Sweden | 1 | 4% |
Australia | 1 | 4% |
Hong Kong | 1 | 4% |
Other | 1 | 4% |
Unknown | 6 | 26% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 65% |
Scientists | 6 | 26% |
Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Hong Kong | 2 | 2% |
Germany | 1 | 1% |
Australia | 1 | 1% |
United Kingdom | 1 | 1% |
Belgium | 1 | 1% |
United States | 1 | 1% |
Unknown | 76 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 25% |
Researcher | 19 | 23% |
Professor > Associate Professor | 6 | 7% |
Student > Doctoral Student | 5 | 6% |
Student > Master | 5 | 6% |
Other | 16 | 19% |
Unknown | 11 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 20 | 24% |
Psychology | 13 | 16% |
Agricultural and Biological Sciences | 8 | 10% |
Medicine and Dentistry | 7 | 8% |
Computer Science | 6 | 7% |
Other | 13 | 16% |
Unknown | 16 | 19% |