Multimodal precision MRI of the individual human brain at ultra-high fields

被引:0
|
作者
Cabalo, Donna Gift [1 ,2 ]
Leppert, Ilana Ruth [2 ]
Thevakumaran, Risavarshni [2 ]
Dekraker, Jordan [1 ,2 ]
Hwang, Youngeun [1 ,2 ]
Royer, Jessica [1 ,2 ]
Kebets, Valeria [1 ,2 ]
Tavakol, Shahin [1 ,2 ]
Wang, Yezhou [1 ,2 ]
Zhou, Yigu [1 ,2 ]
Benkarim, Oualid [1 ,2 ]
Eichert, Nicole [3 ]
Paquola, Casey [4 ]
Doyon, Julien [2 ]
Tardif, Christine Lucas [2 ,5 ,6 ]
Rudko, David [2 ]
Smallwood, Jonathan [7 ]
Rodriguez-Cruces, Raul [1 ,2 ]
Bernhardt, Boris C. [1 ,2 ]
机构
[1] McGill Univ, Multimodal Imaging & Connectome Anal Lab, Montreal, PQ, Canada
[2] Montreal Neurol Hosp & Inst, McConnell Brain Imaging Ctr, Montreal, PQ, Canada
[3] Univ Oxford, Oxford, England
[4] Forschungszentrum Juelich, Inst Neurosci & Med INM 7, Julich, Germany
[5] McGill Univ, Dept Neurol & Neurosurg, Montreal, PQ, Canada
[6] McGill Univ, Dept Biomed Engn, Montreal, PQ, Canada
[7] Queens Univ, Kingston, ON, Canada
基金
加拿大自然科学与工程研究理事会; 英国惠康基金;
关键词
HUMAN CEREBRAL-CORTEX; DEFAULT-MODE NETWORK; DIFFUSION MRI; FUNCTIONAL CONNECTIVITY; RESOLUTION; FMRI; PARCELLATION; GRADIENTS; ORGANIZATION; SYSTEM;
D O I
10.1038/s41597-025-04863-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Multimodal neuroimaging, in particular magnetic resonance imaging (MRI), allows for non-invasive examination of human brain structure and function across multiple scales. Precision neuroimaging builds upon this foundation, enabling the mapping of brain structure, function, and connectivity patterns with high fidelity in single individuals. Highfield MRI, operating at magnetic field strengths of 7 Tesla (T) or higher, increases signal-to-noise ratio and opens up possibilities for gains spatial resolution. Here, we share a multimodal Precision Neuroimaging and Connectomics (PNI) 7 T MRI dataset. Ten healthy individuals underwent a comprehensive MRI protocol, including T1 relaxometry, magnetization transfer imaging, T2*-weighted imaging, diffusion MRI, and multi-state functional MRI paradigms, aggregated across three imaging sessions. Alongside anonymized raw MRI data, we release cortex-wide connectomes from different modalities across multiple parcellation scales, and supply "gradients" that compactly characterize spatial patterning of cortical organization. Our precision MRI dataset will advance our understanding of structure-function relationships in the individual human brain and is publicly available via the Open Science Framework.
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收藏
页数:11
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