ArticleScientific data2025
WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.
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The trial behind it
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Who cites it
10 citing papers in PubMed.
- In vivo mapping of striatal neurodegeneration in Huntington's disease with Soma and Neurite Density Imaging.eLife · 2026Article
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- An open multi-center MEG-EEG dataset for studying conscious visual perception.Scientific data · 2026Article
- Selective Disruption of Salience-Network Anterior Insula Connectivity in Misophonia: A Disorder-Specific Neural Signature.Human brain mapping · 2026Article
- Protocol for an unblinded randomised controlled feasibility trial of Piano Instruction for Adult Novices as Online Cognitive intervention (PIANO-Cog): a novel remote piano training programme for cognitive and motor functions in older age.Pilot and feasibility studies · 2025Article
- Decoding brain structure-function dynamics in health and in psychosis via an autoencoder.Scientific reports · 2025Article
- A Sensor Localization and Orientation Method for OPM-MEG Based on Rigid Coil Structures and Magnetic Dipole Fitting Models.Bioengineering (Basel, Switzerland) · 2025Article
- Precision TMS through the integration of neuroimaging and machine learning: optimizing stimulation targets for personalized treatment.Frontiers in human neuroscience · 2025Review
- Sensory sensitivity and visual discomfort are not associated with altered gamma oscillations: A test of the excitation-inhibition hypothesis.Imaging neuroscience (Cambridge, Mass.)Article
- Composite reaction time and variability correlate with whole-brain white-matter characteristics.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
- Erratum issued
Authors and funding
40 authors.
Funding
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 (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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.