Mesoscopic in vivo human T*2 dataset acquired using quantitative MRI at 7 Tesla

被引:13
作者
Gulban, Omer Faruk [1 ,2 ]
Bollmann, Saskia [3 ,4 ]
Huber, Laurentius [1 ]
Wagstyl, Konrad [5 ]
Goebel, Rainer [1 ,2 ]
Poser, Benedikt A. [1 ]
Kay, Kendrick [6 ]
Ivanov, Dimo [1 ]
机构
[1] Maastricht Univ, Fac Psychol & Neurosci, Dept Cognit Neurosci, Maastricht, Netherlands
[2] Brain Innovat, Maastricht, Netherlands
[3] Univ Queensland, Ctr Adv Imaging, St Lucia, Qld 4072, Australia
[4] Univ Queensland, Fac Engn Architecture & Informat Technol, Sch Informat Technol & Elect Engn, St Lucia, Qld 4072, Australia
[5] UCL, Wellcome Ctr Human Neuroimaging, London, England
[6] Univ Minnesota, Ctr Magnet Resonance Res, Dept Radiol, Minneapolis, MN USA
基金
欧盟地平线“2020”; 澳大利亚国家健康与医学研究理事会; 英国惠康基金;
关键词
In vivo; Human; Brain; Mesoscopic; Layers; Vessels; Visual; Auditory; Cortex; Angioarchitecture; 7; T; MRI; T 2*; R 2*; PRIMARY AUDITORY-CORTEX; CEREBRAL-CORTEX; HUMAN BRAIN; 3; T; ANALYSIS STRATEGIES; FUNCTIONAL MRI; CORTICAL DEPTH; HIGH-FIELD; RESOLUTION; AREAS;
D O I
10.1016/j.neuroimage.2022.119733
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Mesoscopic (0.1-0.5 mm) interrogation of the living human brain is critical for advancing neuroscience and bridging the resolution gap with animal models. Despite the variety of MRI contrasts measured in recent years at the mesoscopic scale, in vivo quantitative imaging of T 2* has not been performed. Here we provide a dataset containing empirical T 2* measurements acquired at 0.35 x 0.35 x 0.35 mm3 voxel resolution using 7 Tesla MRI. To demonstrate unique features and high quality of this dataset, we generate flat map visualizations that reveal fine -scale cortical substructures such as layers and vessels, and we report quantitative depth-dependent T * 2 (as well as R* 2 ) values in primary visual cortex and auditory cortex that are highly consistent across subjects. This dataset is freely available at https://doi.org/10.17605/OSF.IO/N5BJ7 , and may prove useful for anatomical investigations of the human brain, as well as for improving our understanding of the basis of the T 2*-weighted (f)MRI signal.
引用
收藏
页数:15
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