% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{McKay:259704,
      author       = {McKay, Nicole S and Gordon, Brian A and Hornbeck, Russ C
                      and Dincer, Aylin and Flores, Shaney and Keefe, Sarah J and
                      Joseph-Mathurin, Nelly and Jack, Clifford R and Koeppe,
                      Robert and Millar, Peter R and Ances, Beau M and Chen,
                      Charles D and Daniels, Alisha and Hobbs, Diana A and
                      Jackson, Kelley and Koudelis, Deborah and Massoumzadeh,
                      Parinaz and McCullough, Austin and Nickels, Michael L and
                      Rahmani, Farzaneh and Swisher, Laura and Wang, Qing and
                      Allegri, Ricardo F and Berman, Sarah B and Brickman, Adam M
                      and Brooks, William S and Cash, David M and Chhatwal,
                      Jasmeer P and Day, Gregory S and Farlow, Martin R and la
                      Fougère, Christian and Fox, Nick C and Fulham, Michael and
                      Ghetti, Bernardino and Graff-Radford, Neill and Ikeuchi,
                      Takeshi and Klunk, William and Lee, Jae-Hong and Levin,
                      Johannes and Martins, Ralph and Masters, Colin L and
                      McConathy, Jonathan and Mori, Hiroshi and Noble, James M and
                      Reischl, Gerald and Rowe, Christopher and Salloway, Stephen
                      and Sanchez-Valle, Raquel and Schofield, Peter R and
                      Shimada, Hiroyuki and Shoji, Mikio and Su, Yi and Suzuki,
                      Kazushi and Vöglein, Jonathan and Yakushev, Igor and
                      Cruchaga, Carlos and Hassenstab, Jason and Karch, Celeste
                      and McDade, Eric and Perrin, Richard J and Xiong, Chengjie
                      and Morris, John C and Bateman, Randall J and Benzinger,
                      Tammie L S},
      collaboration = {Network, Dominantly Inherited Alzheimer},
      othercontributors = {Brickman, Adam M and la Fougère, Christian},
      title        = {{P}ositron emission tomography and magnetic resonance
                      imaging methods and datasets within the {D}ominantly
                      {I}nherited {A}lzheimer {N}etwork ({DIAN}).},
      journal      = {Nature neuroscience},
      volume       = {26},
      number       = {8},
      issn         = {1097-6256},
      address      = {New York, NY},
      publisher    = {Nature America},
      reportid     = {DZNE-2023-00776},
      pages        = {1449 - 1460},
      year         = {2023},
      abstract     = {The Dominantly Inherited Alzheimer Network (DIAN) is an
                      international collaboration studying autosomal dominant
                      Alzheimer disease (ADAD). ADAD arises from mutations
                      occurring in three genes. Offspring from ADAD families have
                      a $50\%$ chance of inheriting their familial mutation, so
                      non-carrier siblings can be recruited for comparisons in
                      case-control studies. The age of onset in ADAD is highly
                      predictable within families, allowing researchers to
                      estimate an individual's point in the disease trajectory.
                      These characteristics allow candidate AD biomarker
                      measurements to be reliably mapped during the preclinical
                      phase. Although ADAD represents a small proportion of AD
                      cases, understanding neuroimaging-based changes that occur
                      during the preclinical period may provide insight into early
                      disease stages of 'sporadic' AD also. Additionally, this
                      study provides rich data for research in healthy aging
                      through inclusion of the non-carrier controls. Here we
                      introduce the neuroimaging dataset collected and describe
                      how this resource can be used by a range of researchers.},
      keywords     = {Humans / Alzheimer Disease: diagnostic imaging / Alzheimer
                      Disease: genetics / Positron-Emission Tomography / Magnetic
                      Resonance Imaging / Neuroimaging / Arthrogryposis /
                      Mutation: genetics / Amyloid beta-Peptides: genetics /
                      Amyloid beta-Peptides (NLM Chemicals)},
      cin          = {AG Levin / Tübingen common / Clinical Research (Munich)},
      ddc          = {610},
      cid          = {I:(DE-2719)1111016 / I:(DE-2719)6000018 /
                      I:(DE-2719)1111015},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      experiment   = {EXP:(DE-2719)DIAN-20090101},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:37429916},
      pmc          = {pmc:PMC10400428},
      doi          = {10.1038/s41593-023-01359-8},
      url          = {https://pub.dzne.de/record/259704},
}