WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis
This paper introduces the Welsh Advanced Neuroimaging Database (WAND), a multi-scale, multi-modal imaging dataset comprising in vivo brain data from 170 healthy volunteers (aged 18-63 years), including 3 Tesla (3 T) magnetic resonance imaging (MRI) with ultra-strong (300 mT/m) magnetic field gradients, structural and functional MRI and nuclear magnetic resonance spectroscopy at 3 T and 7 T, magnetoencephalography (MEG), and transcranial magnetic stimulation (TMS), together with trait questionnaire and cognitive data. Data are organised using the Brain Imaging Data Structure (BIDS). In addition to raw data, we provide brain-extracted T1-weighted images, and quality reports for diffusion, T1- and T2-weighted structural data, and blood-oxygen level dependent functional tasks. Reasons for participant exclusion are also included. Data are available for download through our GIN repository, a data access management system designed to reduce storage requirements. Users can interact with and retrieve data as needed, without downloading the complete dataset. Given the depth of neuroimaging phenotyping, leveraging ultra-high-gradient, high-field MRI, MEG and TMS, this dataset will facilitate multi-scale and multi-modal investigations of the healthy human brain.
Authors
- Carl J. Hodgetts (ORCID: https://orcid.org/0000-0002-0339-2447)
- Garin Hughes
- Derek Kenton Jones (ORCID: https://orcid.org/0000-0003-4409-8049)
- John Evans (ORCID: https://orcid.org/0000-0002-6619-4245)
- Alexander D. Shaw (ORCID: https://orcid.org/0000-0002-7521-827X)
- David Owen (ORCID: https://orcid.org/0000-0002-4028-0591)
- James Walters (ORCID: https://orcid.org/0000-0002-6980-4053)
- Carolyn McNabb
- Ian D. Driver (ORCID: https://orcid.org/0000-0001-6815-0134)
- Hannah Chandler (ORCID: https://orcid.org/0000-0001-9936-9630)
- Hanzhang Lu (ORCID: https://orcid.org/0000-0003-3871-1564)
- Matthew Ploszajski
- Hannah J. Thomas (ORCID: https://orcid.org/0000-0001-7897-7821)
- Peter Hobden
- Holly E. Rossiter (ORCID: https://orcid.org/0000-0002-5963-701X)
- Eirini Messaritaki (ORCID: https://orcid.org/0000-0002-9917-4160)
- Michael Germuska (ORCID: https://orcid.org/0000-0003-0580-4350)
- Craig Hedge (ORCID: https://orcid.org/0000-0001-6145-3319)
- Christopher S. Allen (ORCID: https://orcid.org/0000-0002-6353-6000)
- Gavin Perry (ORCID: https://orcid.org/0000-0003-0468-0421)
- Richard G. Wise (ORCID: https://orcid.org/0000-0003-1700-2144)
- Mark Drakesmith (ORCID: https://orcid.org/0000-0001-8574-9560)
- T. Lancaster (ORCID: https://orcid.org/0000-0003-1322-2449)
- Sławomir Kuśmia (ORCID: https://orcid.org/0000-0003-1328-3014)
- Kim S. Graham
- Petroc Sumner (ORCID: https://orcid.org/0000-0002-0536-0510)
- Maria Engel (ORCID: https://orcid.org/0000-0002-0143-1908)
- Christopher W. Davies‐Jenkins (ORCID: https://orcid.org/0000-0002-6015-762X)
- Krish D. Singh (ORCID: https://orcid.org/0000-0002-3094-2475)
- Emily Lambe
- Andrew D. Lawrence (ORCID: https://orcid.org/0000-0001-6705-2110)
- Lucie Reed
- Adam Michael Partridge (ORCID: https://orcid.org/0000-0002-0133-4155)
- Sophie F. Standen
- Lars Mueller (ORCID: https://orcid.org/0000-0002-9605-9183)
- A. Brinton Cooper (ORCID: https://orcid.org/0000-0002-1687-6408)
- Svetla Manolova
- Vanessa Hyde
- Emma L. Morgan
- Elena Stylianopoulou
Institutions
- Kennedy Krieger Institute (US)
- University of Leeds (GB)
- Johns Hopkins University (US)
- Aston University (GB)
- Royal Holloway University of London (GB)
- Durham University (GB)
- University of Exeter (GB)
- University of Chieti-Pescara (IT)
- University of California Davis Medical Center (US)
- University of Bath (GB)
- Cardiff University (GB)
- Singer (United States) (US)
- University of Sheffield (GB)
- University of Edinburgh (GB)
Publication Details
- Journal
- Scientific Data
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1038/s41597-024-04154-7
- Citations
- 12
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 15.74
Funders
- Wellcome
- Medical Research Council
- Engineering and Physical Sciences Research Council