An open MRI dataset for multiscale neuroscience

Royer, J.; Rodriguez-Cruces, R.; Tavakol, S.; Lariviere, S.; Herholz, P.; Li, Q.; Vos de Wael, R.; Paquola, C.; Benkarim, O.; Park, B.-y.; Lowe, A. J.; Margulies, D. S.; Smallwood, J.; Bernasconi, A.; Bernasconi, N.; Frauscher, B.; Bernhardt, B. C.

doi:10.1101/2021.08.04.454795

bioRxiv · 10.1101/2021.08.04.454795

An open MRI dataset for multiscale neuroscience

Royer, J.·Rodriguez-Cruces, R.·Tavakol, S.·Lariviere, S.·Herholz, P.·Li, Q.·Vos de Wael, R.·Paquola, C.·Benkarim, O.·Park, B.-y.·Lowe, A. J.·Margulies, D. S.·Smallwood, J.·Bernasconi, A.·Bernasconi, N.·Frauscher, B.·Bernhardt, B. C.

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Abstract

AO_SCPLOWBSTRACTC_SCPLOWMultimodal 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 Platforms data portal (https://portal.conp.ca).

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Royer, J., Rodriguez-Cruces, R., Tavakol, S., Lariviere, S., Herholz, P., Li, Q., Vos de Wael, R., Paquola, C., Benkarim, O., Park, B.-y., Lowe, A. J., Margulies, D. S., Smallwood, J., Bernasconi, A., Bernasconi, N., Frauscher, B., Bernhardt, B. C.. 2021-08-05. An open MRI dataset for multiscale neuroscience. https://doi.org/10.1101/2021.08.04.454795

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