WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis

McNabb, Carolyn B. ORCID: https://orcid.org/0000-0002-6434-5177, Driver, Ian D. ORCID: https://orcid.org/0000-0001-6815-0134, Hyde, Vanessa, Hughes, Garin, Chandler, Hannah L., Thomas, Hannah, Allen, Christopher, Messaritaki, Eirini ORCID: https://orcid.org/0000-0002-9917-4160, Hodgetts, Carl J. ORCID: https://orcid.org/0000-0002-0339-2447, Hedge, Craig ORCID: https://orcid.org/0000-0001-6145-3319, Engel, Maria ORCID: https://orcid.org/0000-0002-0143-1908, Standen, Sophie F., Morgan, Emma, Stylianopoulou, Elena, Manolova, Svetla, Reed, Lucie, Ploszajski, Matthew, Drakesmith, Mark ORCID: https://orcid.org/0000-0001-8574-9560, Germuska, Michael ORCID: https://orcid.org/0000-0003-0580-4350, Shaw, Alexander D. ORCID: https://orcid.org/0000-0001-5741-7526, Mueller, Lars, Rossiter, Holly ORCID: https://orcid.org/0000-0002-5963-701X, Davies-Jenkins, Christopher W., Lancaster, Tom, Evans, C. John ORCID: https://orcid.org/0000-0002-6619-4245, Owen, David ORCID: https://orcid.org/0000-0002-4028-0591, Perry, Gavin ORCID: https://orcid.org/0000-0003-0468-0421, Kusmia, Slawomir, Lambe, Emily, Partridge, Adam M., Cooper, Allison, Hobden, Peter ORCID: https://orcid.org/0000-0001-6733-6252, Lu, Hanzhang, Graham, Kim S. ORCID: https://orcid.org/0000-0002-1512-7667, Lawrence, Andrew D., Wise, Richard G., Walters, James T. R., Sumner, Petroc ORCID: https://orcid.org/0000-0002-0536-0510, Singh, Krish D. and Jones, Derek K. 2024. WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis. Scientific Data 10.1038/s41597-024-04154-7 Item availability restricted.

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Abstract

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 (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. 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.

Item Type:	Article
Status:	In Press
Schools:	Psychology Cardiff University Brain Research Imaging Centre (CUBRIC)
Publisher:	Nature Research
ISSN:	2052-4463
Date of First Compliant Deposit:	5 December 2024
Date of Acceptance:	18 November 2024
Last Modified:	09 Jan 2025 13:15
URI:	https://orca.cardiff.ac.uk/id/eprint/174529

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