Evaluation of novel metrics derived from a brief smartphone cognitive task for predicting disease severity in frontotemporal dementia

We tested the use of experimental features derived from a brief two-minute test to distinguish healthy individuals from prodromal or symptomatic FTD. Classification accuracies were moderate to high, suggesting that while traditional measures continue to perform well, novel features provide an improvement in accuracy. Future directions include analogous investigations of other smartphone cognitive tasks collected through this battery.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.093502
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluation of novel metrics derived from a brief smartphone cognitive task for predicting disease severity in frontotemporal dementia

Jack C. Taylor
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Evaluation of novel metrics derived from a brief smartphone cognitive task for predicting disease severity in frontotemporal dementia

Jack C. Taylor
article en

Abstract

We tested the use of experimental features derived from a brief two-minute test to distinguish healthy individuals from prodromal or symptomatic FTD. Classification accuracies were moderate to high, suggesting that while traditional measures continue to perform well, novel features provide an improvement in accuracy. Future directions include analogous investigations of other smartphone cognitive tasks collected through this battery.

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