Unsupervised high-frequency smartphone-based cognitive assessments are reliable, valid, and feasible in older adults at risk for Alzheimer's disease.
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| Title: | Unsupervised high-frequency smartphone-based cognitive assessments are reliable, valid, and feasible in older adults at risk for Alzheimer's disease. |
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| Authors: | Nicosia J; Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA., Aschenbrenner AJ; Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA., Balota DA; Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA., Sliwinski MJ; Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA., Tahan M; Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA., Adams S; Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA., Stout SS; Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA., Wilks H; Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA., Gordon BA; Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.; Department of Radiology, Washington University, School of Medicine, St. Louis, MO, USA., Benzinger TLS; Department of Radiology, Washington University, School of Medicine, St. Louis, MO, USA., Fagan AM; Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA., Xiong C; Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.; Division of Biostatistics, Washington University, School of Medicine, St. Louis, MO, USA., Bateman RJ; Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA., Morris JC; Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA., Hassenstab J; Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.; Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA. |
| Source: | Journal of the International Neuropsychological Society : JINS [J Int Neuropsychol Soc] 2023 Jun; Vol. 29 (5), pp. 459-471. Date of Electronic Publication: 2022 Sep 05. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Cambridge University Press Country of Publication: England NLM ID: 9503760 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1469-7661 (Electronic) Linking ISSN: 13556177 NLM ISO Abbreviation: J Int Neuropsychol Soc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1469-7661 |
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| DOI: | 10.1017/S135561772200042X |
