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뇌과학이미징연구단
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An Open MRI Dataset For Multiscale Neuroscience

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Title
An Open MRI Dataset For Multiscale Neuroscience
Author(s)
Royer, Jessica; Rodriguez-Cruces, Raul; Tavakol, Shahin; Lariviere, Sara; Herholz, Peer; Li, Qiongling; Vos de Wael, Reinder; Paquola, Casey; Benkarim, Oualid; Bo-yong Park; Lowe, Alexander J.; Margulies, Daniel; Smallwood, Jonathan; Bernasconi, Andrea; Bernasconi, Neda; Frauscher, Birgit; Bernhardt, Boris C.
Publication Date
2022-09
Journal
SCIENTIFIC DATA, v.9, no.1
Publisher
NATURE PORTFOLIO
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, myelinsensitive 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 function. MICA-MICs is available on the Canadian Open Neuroscience Platform data portal (https:// portal.conp.ca) and the Open Science Framework (https://osf.io/j532r/).
URI
https://pr.ibs.re.kr/handle/8788114/12851
DOI
10.1038/s41597-022-01682-y
ISSN
2052-4463
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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