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@ARTICLE{Polk:278568,
      author       = {Polk, Sarah E and Öhman, Fredrik and Hassenstab, Jason and
                      König, Alexandra and Papp, Kathryn V and Schöll, Michael
                      and Berron, David},
      title        = {{A} scoping review of remote and unsupervised digital
                      cognitive assessments in preclinical {A}lzheimer's disease.},
      journal      = {npj digital medicine},
      volume       = {8},
      number       = {1},
      issn         = {2398-6352},
      address      = {[Basingstoke]},
      publisher    = {Macmillan Publishers Limited},
      reportid     = {DZNE-2025-00601},
      pages        = {266},
      year         = {2025},
      abstract     = {Characterizing subtle cognitive changes in preclinical
                      Alzheimer's disease (AD) is difficult using traditional
                      neuropsychological assessments. Remote and unsupervised
                      digital assessments can improve scalability, measurement
                      reliability, and ecological validity, enabling the capture
                      of subtle changes. We evaluate such tools for use in
                      preclinical AD, or cognitively unimpaired individuals with
                      abnormal levels of AD pathology. We screened 1904 reports
                      for studies remotely assessing cognition in preclinical AD
                      samples. Twenty-three tools were identified, and their
                      usability, reliability, and validity, including construct
                      and criterion validity based on in-person neuropsychological
                      and Aβ/tau measures, was reported. We present a necessary
                      update to a rapidly evolving field, following our previous
                      review (Öhman et al., 2021) and address open questions of
                      feasibility and reliability of remote testing in older
                      adults. Future applications of such tools are discussed,
                      including longitudinal monitoring of cognition, scalable
                      case finding, and individualized prognostics in both
                      clinical trials and healthcare contexts.},
      cin          = {AG Berron},
      ddc          = {610},
      cid          = {I:(DE-2719)5000070},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40348870},
      pmc          = {pmc:PMC12065824},
      doi          = {10.1038/s41746-025-01583-5},
      url          = {https://pub.dzne.de/record/278568},
}