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@ARTICLE{Cabalo:1044231,
      author       = {Cabalo, Donna Gift and Leppert, Ilana Ruth and
                      Thevakumaran, Risavarshni and DeKraker, Jordan and Hwang,
                      Youngeun and Royer, Jessica and Kebets, Valeria and Tavakol,
                      Shahin and Wang, Yezhou and Zhou, Yigu and Benkarim, Oualid
                      and Eichert, Nicole and Paquola, Casey and Doyon, Julien and
                      Tardif, Christine Lucas and Rudko, David and Smallwood,
                      Jonathan and Rodriguez-Cruces, Raul and Bernhardt, Boris C.},
      title        = {{M}ultimodal precision {MRI} of the individual human brain
                      at ultra-high fields},
      journal      = {Scientific data},
      volume       = {12},
      number       = {1},
      issn         = {2052-4436},
      address      = {London},
      publisher    = {Nature Publ. Group},
      reportid     = {FZJ-2025-03119},
      pages        = {526},
      year         = {2025},
      abstract     = {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.},
      cin          = {INM-7},
      ddc          = {500},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {40157934},
      UT           = {WOS:001456232500003},
      doi          = {10.1038/s41597-025-04863-7},
      url          = {https://juser.fz-juelich.de/record/1044231},
}