Passively collected data from smartphones improves detection of frontotemporal dementia compared to the MoCA

Results support the utility of novel passively collected information from smartphones for detecting and monitoring FTD without contributing to assessment burden. With continued validation, passive digital monitoring methodologies have potential to increase access to dementia care.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.090571
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Passively collected data from smartphones improves detection of frontotemporal dementia compared to the MoCA

Mark Sanderson‐Cimino, Hilary W. Heuer, Adam M. Staffaroni, Adam L. Boxer et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Passively collected data from smartphones improves detection of frontotemporal dementia compared to the MoCA

Mark Sanderson‐Cimino, Hilary W. Heuer, Adam M. Staffaroni, Adam L. Boxer, Anna M. VandeBunte, Joel H. Kramer, Amy B. Wise, Shubir Dutt, Rowan Saloner, Kaitlin Blackstone Casaletto, Jack C. Taylor, Walter K. Kremers, Claire J. Cadwallader, Bradley F. Boeve, Howard J. Rosen, Leah K. Forsberg, Jacob Young, Emily W. Paolillo, Sreya Dhanam, Brandon R. Palacios, Minh Bui
article en

Abstract

Results support the utility of novel passively collected information from smartphones for detecting and monitoring FTD without contributing to assessment burden. With continued validation, passive digital monitoring methodologies have potential to increase access to dementia care.

Alzheimer s & DementiaVol. 20(S3)
Mayo Clinic (US), University of California, San Francisco (US), WinnMed (US), University Memory and Aging Center (US), Mayo Clinic in Arizona (US)
Openalex Percentile: Top 66%
Dementia and Cognitive Impairment Research
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