publication . Preprint . Article . Other literature type . 2015

A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures

Krzysztof Jacek Gorgolewski; Natacha Mendes; Domenica Wilfling; Elisabeth Wladimirow; Claudine J. Gauthier; Tyler Bonnen; Florence J. M. Ruby; Robert Trampel; Pierre-Louis Bazin; Roberto Cozatl; ...
Open Access English
  • Published: 20 Jan 2015
  • Publisher: Cold Spring Harbor Laboratory
  • Country: United Kingdom
Abstract
<jats:p>Here we present a test-retest dataset of functional magnetic resonance imaging (fMRI) data acquired at rest. 22 participants were scanned during two sessions spaced one week apart. Each session includes two 1.5 mm isotropic whole-brain scans and one 0.75 mm isotropic scan of the prefrontal cortex, giving a total of six timepoints. Additionally, the dataset includes measures of mood, sustained attention, blood pressure, respiration, pulse, and the content of self-generated thoughts (mind wandering). This data enables the investigation of sources of both intra- and inter-session variability not only limited to physiological changes, but also including alte...
Subjects
free text keywords: Data Descriptor, Brain imaging, Cognitive neuroscience, Functional magnetic resonance imaging, Attention
Communities
Neuroinformatics
44 references, page 1 of 3

1. Hale, J. R. et al. Comparison of functional connectivity in default mode and sensorimotor networks at 3 and 7T. MAGMA 23, 339-349 (2010).

2. De Martino, F. et al. Whole brain high-resolution functional imaging at ultra high magnetic fields: an application to the analysis of resting state networks. Neuroimage 57, 1031-1044 (2011).

3. Newton, A. T., Rogers, B. P., Gore, J. C. & Morgan, V. L. Improving measurement of functional connectivity through decreasing partial volume effects at 7 T. Neuroimage 59, 2511-2517 (2012).

4. Bianciardi, M. et al. Sources of functional magnetic resonance imaging signal fluctuations in the human brain at rest: a 7 T study. Magn. Reson. Imaging 27, 1019-1029 (2009).

5. Lenglet, C. et al. Comprehensive in vivo mapping of the human basal ganglia and thalamic connectome in individuals using 7T MRI. PLoS ONE 7, e29153 (2012). [OpenAIRE]

6. Raemaekers, M. et al. Patterns of resting state connectivity in human primary visual cortical areas: a 7T fMRI study. Neuroimage 84, 911-921 (2014). [OpenAIRE]

7. Yang, X., Holmes, M. J., Newton, A. T., Morgan, V. L. & Landman, B. A. A comparison of distributional considerations with statistical analysis of resting state fMRI at 3T and 7T. Proc. Soc. Photo. Opt. Instrum. Eng. 8314, 831416 (2012).

8. Yang, X., Kang, H., Newton, A. T. & Landman, B. A. Evaluation of statistical inference on empirical resting state fMRI. IEEE Trans. Biomed. Eng. 61, 1091-1099 (2014).

9. Shehzad, Z. et al. The resting brain: unconstrained yet reliable. Cereb. Cortex 19, 2209-2229 (2009).

10. Zhang, H. et al. Test-retest assessment of independent component analysis-derived resting-state functional connectivity based on functional near-infrared spectroscopy. Neuroimage 55, 607-615 (2011).

11. Birn, R. M. et al. The effect of scan length on the reliability of resting-state fMRI connectivity estimates. Neuroimage 83C, 550-558 (2013). [OpenAIRE]

12. Braun, U. et al. Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures. Neuroimage 59, 1404-1412 (2012).

13. Gorgolewski, K. J., Storkey, A. J., Bastin, M. E., Whittle, I. & Pernet, C. Single subject fMRI test-retest reliability metrics and confounding factors. Neuroimage 69, 231-243 (2013). [OpenAIRE]

14. Bennett, C. M. & Miller, M. B. How reliable are the results from functional magnetic resonance imaging? Ann. N. Y. Acad. Sci. 1191, 133-155 (2010).

15. Yan, C.-G. et al. A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. Neuroimage 76, 183-201 (2013).

44 references, page 1 of 3
Abstract
<jats:p>Here we present a test-retest dataset of functional magnetic resonance imaging (fMRI) data acquired at rest. 22 participants were scanned during two sessions spaced one week apart. Each session includes two 1.5 mm isotropic whole-brain scans and one 0.75 mm isotropic scan of the prefrontal cortex, giving a total of six timepoints. Additionally, the dataset includes measures of mood, sustained attention, blood pressure, respiration, pulse, and the content of self-generated thoughts (mind wandering). This data enables the investigation of sources of both intra- and inter-session variability not only limited to physiological changes, but also including alte...
Subjects
free text keywords: Data Descriptor, Brain imaging, Cognitive neuroscience, Functional magnetic resonance imaging, Attention
Communities
Neuroinformatics
44 references, page 1 of 3

1. Hale, J. R. et al. Comparison of functional connectivity in default mode and sensorimotor networks at 3 and 7T. MAGMA 23, 339-349 (2010).

2. De Martino, F. et al. Whole brain high-resolution functional imaging at ultra high magnetic fields: an application to the analysis of resting state networks. Neuroimage 57, 1031-1044 (2011).

3. Newton, A. T., Rogers, B. P., Gore, J. C. & Morgan, V. L. Improving measurement of functional connectivity through decreasing partial volume effects at 7 T. Neuroimage 59, 2511-2517 (2012).

4. Bianciardi, M. et al. Sources of functional magnetic resonance imaging signal fluctuations in the human brain at rest: a 7 T study. Magn. Reson. Imaging 27, 1019-1029 (2009).

5. Lenglet, C. et al. Comprehensive in vivo mapping of the human basal ganglia and thalamic connectome in individuals using 7T MRI. PLoS ONE 7, e29153 (2012). [OpenAIRE]

6. Raemaekers, M. et al. Patterns of resting state connectivity in human primary visual cortical areas: a 7T fMRI study. Neuroimage 84, 911-921 (2014). [OpenAIRE]

7. Yang, X., Holmes, M. J., Newton, A. T., Morgan, V. L. & Landman, B. A. A comparison of distributional considerations with statistical analysis of resting state fMRI at 3T and 7T. Proc. Soc. Photo. Opt. Instrum. Eng. 8314, 831416 (2012).

8. Yang, X., Kang, H., Newton, A. T. & Landman, B. A. Evaluation of statistical inference on empirical resting state fMRI. IEEE Trans. Biomed. Eng. 61, 1091-1099 (2014).

9. Shehzad, Z. et al. The resting brain: unconstrained yet reliable. Cereb. Cortex 19, 2209-2229 (2009).

10. Zhang, H. et al. Test-retest assessment of independent component analysis-derived resting-state functional connectivity based on functional near-infrared spectroscopy. Neuroimage 55, 607-615 (2011).

11. Birn, R. M. et al. The effect of scan length on the reliability of resting-state fMRI connectivity estimates. Neuroimage 83C, 550-558 (2013). [OpenAIRE]

12. Braun, U. et al. Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures. Neuroimage 59, 1404-1412 (2012).

13. Gorgolewski, K. J., Storkey, A. J., Bastin, M. E., Whittle, I. & Pernet, C. Single subject fMRI test-retest reliability metrics and confounding factors. Neuroimage 69, 231-243 (2013). [OpenAIRE]

14. Bennett, C. M. & Miller, M. B. How reliable are the results from functional magnetic resonance imaging? Ann. N. Y. Acad. Sci. 1191, 133-155 (2010).

15. Yan, C.-G. et al. A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. Neuroimage 76, 183-201 (2013).

44 references, page 1 of 3
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