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001038547 0247_ $$2doi$$a10.1101/2024.06.17.596303
001038547 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-01530
001038547 037__ $$aFZJ-2025-01530
001038547 082__ $$a570
001038547 1001_ $$0P:(DE-HGF)0$$aCabalo, Donna Gift$$b0
001038547 245__ $$aMultimodal Precision Neuroimaging of the Individual Human Brain at Ultra-high fields
001038547 260__ $$aCold Spring Harbor$$bCold Spring Harbor Laboratory, NY$$c2024
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001038547 520__ $$aMultimodal neuroimaging 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. Ultra-high field (UHF) neuroimaging, operating at magnetic field strengths of 7 Tesla or higher, increases signal-to-noise ratio and offers even higher spatial resolution. Here, we provide a multimodal Precision Neuroimaging and Connectomics (PNI) dataset, utilizing UHF 7T magnetic resonance imaging (MRI). 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 imaging 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 imaging dataset will advance our understanding of structure-function relationships in the individual human brain and is publicly available via the Open Science Framework (https://osf.io/mhq3f/) and the Canadian Open Neuroscience Platform data portal (https://portal.conp.ca).
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001038547 7001_ $$0P:(DE-HGF)0$$aLeppert, Ilana Ruth$$b1
001038547 7001_ $$0P:(DE-HGF)0$$aThevakumaran, Risa$$b2
001038547 7001_ $$0P:(DE-HGF)0$$aDekraker, Jordan$$b3
001038547 7001_ $$0P:(DE-HGF)0$$aHwang, Youngeun$$b4
001038547 7001_ $$0P:(DE-HGF)0$$aRoyer, Jessica$$b5
001038547 7001_ $$0P:(DE-HGF)0$$aKebets, Valeria$$b6
001038547 7001_ $$0P:(DE-HGF)0$$aTavakol, Shahin$$b7
001038547 7001_ $$0P:(DE-HGF)0$$aWang, Yezhou$$b8
001038547 7001_ $$0P:(DE-HGF)0$$aZhou, Yigu$$b9
001038547 7001_ $$0P:(DE-HGF)0$$aBenkarim, Mohammed Oualid$$b10
001038547 7001_ $$0P:(DE-HGF)0$$aEichert, Nicole$$b11
001038547 7001_ $$0P:(DE-Juel1)187055$$aPaquola, Casey$$b12
001038547 7001_ $$0P:(DE-HGF)0$$aTardif, Christine Lucas$$b13
001038547 7001_ $$0P:(DE-HGF)0$$aRudko, David$$b14
001038547 7001_ $$0P:(DE-HGF)0$$aSmallwood, Jonathan$$b15
001038547 7001_ $$0P:(DE-HGF)0$$aCruces, Raul Rodriguez$$b16
001038547 7001_ $$0P:(DE-HGF)0$$aBernhardt, Boris$$b17$$eCorresponding author
001038547 773__ $$0PERI:(DE-600)2766415-6$$a10.1101/2024.06.17.596303$$tbioRxiv beta$$y2024
001038547 8564_ $$uhttps://juser.fz-juelich.de/record/1038547/files/2024.06.17.596303v1.full.pdf$$yOpenAccess
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001038547 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a McGill University, Montreal, QC, Canada$$b17
001038547 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a boris.bernhardt@mcgill.ca$$b17
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001038547 9141_ $$y2024
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