Published Data Keywords Public datasets on GIN

Dataset

The Welsh Advanced Neuroimaging Database (WAND)

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  1. 1Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom
  2. 2Department of Psychology, Durham University, Durham, United Kingdom
  3. 3Department of Psychology, Royal Holloway, University of London, Egham, United Kingdom
  4. 4School of Psychology, Aston University, Birmingham, United Kingdom
  5. 5Department of Radiology, University of California Davis Medical Center, Sacramento, California, USA
  6. 6Washington Singer Laboratories, University of Exeter, Exeter, United Kingdom
  7. 7Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
  8. 8The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
  9. 9F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Kreiger Institute, Baltimore, Maryland, USA
  10. 10Department of Psychology, University of Bath, Bath, United Kingdom
  11. 11IBM Polska Sp. z o. o., Department of Content Design, Cracow, Poland
  12. 12University of Sheffield, Research Services, New Spring House, 231 Glossop Road, Sheffield, S10 2GW, UK
  13. 13School of Philosophy, Psychology and Language Sciences, Dugald Stewart Building, University of Edinburgh, 3 Charles Street, Edinburgh, EH8 9AD, UK
  14. 14Department of Neurosciences, Imaging, and Clinical Sciences, 'G. D'Annunzio' University of Chieti-Pescara, Chieti, Italy
  15. 15Institute for Advanced Biomedical Technologies, 'G. D'Annunzio' University of Chieti-Pescara, Chieti, Italy
  16. 16School of Medicine, Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom

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Published 23 Sep. 2024 | License Creative Commons Attribution-ShareAlike 4.0 International Public License

Description

The Welsh Advanced Neuroimaging Database (WAND) is a multi-scale, multi-modal imaging dataset comprising in vivo brain data from 170 healthy volunteers (aged 18-63 years), including 3 Tesla (3T) magnetic resonance imaging (MRI) with ultra-strong (300 mT/m) magnetic field gradients, structural and functional MRI and nuclear magnetic resonance spectroscopy at 3T and 7T, magnetoencephalography (MEG), and transcranial magnetic stimulation (TMS), together with trait questionnaire and cognitive data.

Keywords

| Magnetic resonance imaging | MRI, diffusion MRI | ultra-strong magnetic gradients | magnetoencephalography | MEG | structural MRI | fMRI | arterial spin labelling | ASL | magnetic resonance spectroscopy | MRS | transcranial magnetic stimulation | TMS | 7T MRI |

References

  • Carolyn B McNabb, Ian D Driver, Vanessa Hyde, Garin Hughes, Hannah L Chandler, Hannah Thomas, Christopher Allen, Eirini Messaritaki, Carl J Hodgetts, Craig Hedge, Maria Engel, Sophie F Standen, Emma L Morgan, Elena Stylianopoulou, Svetla Manolova, Lucie Reed, Mark Drakesmith, Michael Germuska, Alexander D Shaw, Lars Mueller, Holly Rossiter, Christopher W Davies-Jenkins, Tom Lancaster, C John Evans, David Owen, Gavin Perry, Slawomir Kusmia, Emily Lambe, Adam M Partridge, Allison Cooper, Peter Hobden, Hanzhang Lu, Kim S Graham, Andrew D Lawrence,, Richard G Wise, James T R Walters, Petroc Sumner, Krish D Singh, and Derek K Jones (2024) WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis.
  • Setup and usage instructions for the Welsh Advanced Neuroimaging Database (WAND). Cardiff University Gitlab.

Funding

  • EPSRC EP/M029778/1
  • The Wolfson Foundation
  • Wellcome Trust 096646/Z/11/Z
  • Wellcome Trust 104943/Z/14/Z

Citation

McNabb CB, Driver ID, Hyde V, Hughes G, Chandler HL, Thomas H, Allen C, Messaritaki E, Hodgetts CJ, Hedge C, Engel M, Standen SF, Morgan EL, Stylianopoulou E, Manalova S, Reed L, Ploszajski M, Drakesmith M, Germuska M, Shaw AD, Mueller L, Rossiter H, Davies-Jenkins CW, Lancaster T, Evans CJ, Owen D, Perry G, Kusmia S, Lambe E, Partridge AM, Cooper A, Hobden P, Lu H, Graham KS, Lawrence AD, Wise RG, Walters JTR, Sumner P, Singh KD, Jones DK (2024) The Welsh Advanced Neuroimaging Database (WAND). G-Node. https://doi.org/10.12751/g-node.5mv3bf