Preprint

FZJ-2021-05136

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png An Open MRI Dataset for Multiscale Neuroscience

Royer, J. (Corresponding author) ; Rodríguez-Cruces, R. ; Tavakol, S. ; Larivière, S. ; Herholz, P. ; Li, Q. ; de Wael, R. V. ; Paquola, C.FZJ* ; Benkarim, O. ; Park, B.-y. ; Lowe, A. J. ; Margulies, D. ; Smallwood, J. ; Bernasconi, A. ; Bernasconi, N. ; Frauscher, B. ; Bernhardt, B. C. (Corresponding author)

2021

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Please use a persistent id in citations: http://hdl.handle.net/2128/29435  doi:10.1101/2021.08.04.454795

Abstract: Multimodal neuroimaging grants a powerful window into the structure and function of the human brain at multiple scales. Recent methodological and conceptual advances have enabled investigations of the interplay between large-scale spatial trends (also referred to as gradients) in brain microstructure and connectivity, offering an integrative framework to study multiscale brain organization. Here, we share a multimodal MRI dataset for Microstructure-Informed Connectomics (MICA-MICs) acquired in 50 healthy adults (23 women; 29.54±5.62 years) who underwent high-resolution T1-weighted MRI, myelin-sensitive quantitative T1 relaxometry, diffusion-weighted MRI, and resting-state functional MRI at 3 Tesla. In addition to raw anonymized MRI data, this release includes brain-wide connectomes derived from i) resting-state functional imaging, ii) diffusion tractography, iii) microstructure covariance analysis, and iv) geodesic cortical distance, gathered across multiple parcellation scales. Alongside, we share large-scale gradients estimated from each modality and parcellation scale. Our dataset will facilitate future research examining the coupling between brain microstructure, connectivity, and macroscale function. MICA-MICs is available on the Canadian Open Neuroscience Platform’s data portal ( https://portal.conp.ca ).

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Contributing Institute(s):

1. Strukturelle und funktionelle Organisation des Gehirns (INM-1)

Research Program(s):

1. 5254 - Neuroscientific Data Analytics and AI (POF4-525) (POF4-525)
2. HIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015) (InterLabs-0015)

Appears in the scientific report 2021

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