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@ARTICLE{Cabalo:1038547,
      author       = {Cabalo, Donna Gift and Leppert, Ilana Ruth and
                      Thevakumaran, Risa and Dekraker, Jordan and Hwang, Youngeun
                      and Royer, Jessica and Kebets, Valeria and Tavakol, Shahin
                      and Wang, Yezhou and Zhou, Yigu and Benkarim, Mohammed
                      Oualid and Eichert, Nicole and Paquola, Casey and Tardif,
                      Christine Lucas and Rudko, David and Smallwood, Jonathan and
                      Cruces, Raul Rodriguez and Bernhardt, Boris},
      title        = {{M}ultimodal {P}recision {N}euroimaging of the {I}ndividual
                      {H}uman {B}rain at {U}ltra-high fields},
      journal      = {bioRxiv beta},
      address      = {Cold Spring Harbor},
      publisher    = {Cold Spring Harbor Laboratory, NY},
      reportid     = {FZJ-2025-01530},
      year         = {2024},
      abstract     = {Multimodal 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).},
      cin          = {INM-7},
      ddc          = {570},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5253 - Neuroimaging (POF4-525) / 5252 - Brain Dysfunction
                      and Plasticity (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253 / G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.1101/2024.06.17.596303},
      url          = {https://juser.fz-juelich.de/record/1038547},
}