The Welsh Advanced Neuroimaging Database: an open-source state-of-the-art resource for brain research

Motivation: Advances in MRI have increased our understanding of the human brain but are frequently limited by single modality study designs. Combining data from multiple modalities/MR contrasts can enhance our understanding of the complex multi-scale neural relationships that underpin human behaviour. Goal(s): Our goal was to create an open-access multi-scale, multi-modal imaging database of the healthy human brain. Approach: The Welsh Advanced Neuroimaging Database (WAND) includes micro and macro-structural, functional and spectroscopic MRI, MEG and cognitive data from over 150 healthy volunteers. Results: WAND is free, open-source, organised using the Brain Imaging Data Structure (BIDS), and now available for download. Impact: The Welsh Advanced Neuroimaging Database takes steps toward democratising magnetic resonance research by making multi-modal, multi-scale neuroimaging data freely and easily available, enhancing opportunities for collaboration and development of novel analysis techniques, further progressing the field of neuroimaging.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/0241
Citations
4
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.37
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article

The Welsh Advanced Neuroimaging Database: an open-source state-of-the-art resource for brain research

Alison Cooper, Carl J. Hodgetts, Garin Hughes, Alexander D. Shaw et al.
4 citations
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Functional Brain Connectivity Studies
1.37
article

The Welsh Advanced Neuroimaging Database: an open-source state-of-the-art resource for brain research

Alison Cooper, Carl J. Hodgetts, Garin Hughes, Alexander D. Shaw, Derek Kenton Jones, John Evans, James Walters, Carolyn McNabb, Ian D. Driver, David Owen, Hannah J. Thomas, Peter Hobden, Holly E. Rossiter, Eirini Messaritaki, Michael Germuska, Craig Hedge, Christopher S. Allen, Gavin Perry, Richard G. Wise, Mark Drakesmith, Eric Lease Morgan, Petroc Sumner, Maria Engel, Christopher W. Davies‐Jenkins, Krish D. Singh, Emily Lambe, Andrew D. Lawrence, Lucie Reed, Adam Michael Partridge, Sophie F. Standen, Lars Mueller, Svetla Manolova, Vanessa Hyde, Elena Stylianopoulou, Slawomir Kusmir
article en
4 citations

Abstract

Motivation: Advances in MRI have increased our understanding of the human brain but are frequently limited by single modality study designs. Combining data from multiple modalities/MR contrasts can enhance our understanding of the complex multi-scale neural relationships that underpin human behaviour. Goal(s): Our goal was to create an open-access multi-scale, multi-modal imaging database of the healthy human brain. Approach: The Welsh Advanced Neuroimaging Database (WAND) includes micro and macro-structural, functional and spectroscopic MRI, MEG and cognitive data from over 150 healthy volunteers. Results: WAND is free, open-source, organised using the Brain Imaging Data Structure (BIDS), and now available for download. Impact: The Welsh Advanced Neuroimaging Database takes steps toward democratising magnetic resonance research by making multi-modal, multi-scale neuroimaging data freely and easily available, enhancing opportunities for collaboration and development of novel analysis techniques, further progressing the field of neuroimaging.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Partnerships for the goals
Openalex Percentile: Top 19%
Functional Brain Connectivity Studies
1.37
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