Abstract #0241

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

Carolyn Beth McNabb¹, Ian D Driver¹, Vanessa Hyde¹, Garin Hughes¹, Hannah Louise Chandler¹, Hannah Thomas¹, Eirini Messaritaki¹, Carl Hodgetts², Craig Hedge³, Christopher Allen⁴, Maria Engel¹, Sophie Felicity Standen¹, Emma Morgan¹, Elena Stylianopoulou¹, Svetla Manolova¹, Lucie Reed¹, Mark Drakesmith¹, Michael Germuska¹, Alexander Shaw⁵, Lars Mueller⁶, Holly Rossiter¹, Christopher Davies-Jenkins⁷, John Evans¹, David Owen¹, Gavin Perry¹, Slawomir Kusmir^1,8, Emily Lambe¹, Adam Partridge¹, Alison Cooper¹, Peter Hobden¹, Andrew Lawrence¹, Richard Wise⁹, James Walters¹⁰, Petroc Sumner¹, Krish Singh¹, and Derek K Jones¹

¹Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, United Kingdom, ²Department of Psychology, Royal Holloway, University of London, Surrey, United Kingdom, ³School of Psychology, Aston University, Birmingham, United Kingdom, ⁴Department of Psychology, Durham University, Durham, United Kingdom, ⁵Washington Singer Laboratories, University of Exeter, Exeter, United Kingdom, ⁶Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom, ⁷The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Balitmore, MD, United States, ⁸Computer Science, University College London, London, United Kingdom, ⁹University of Chieta-Pescara, Chieti, Italy, ¹⁰School of Medicine, Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom

Synopsis

Keywords: Data Processing, Brain, data release

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.

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