JOURNAL ARTICLE
A - 118 Tablet-Based Cognitive Assessment Demonstrates Valid Assessment of Prodromal Huntington's Disease.
Published In: Archives of Clinical Neuropsychology, 2024, v. 39, n. 7. P. 1059 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Key, Abigail M; Pinto, Alex; Adams, William H; Possin, Katherine L; Burks, Deven K; Paulsen, Jane S 3 of 3
Abstract
This article focuses on evaluating the effectiveness of TabCAT, a tablet-based cognitive assessment tool developed at UCSF, in detecting cognitive impairment in individuals at risk for prodromal Huntington’s Disease (HD). The study compared performances on memory, executive function, motor, and visuospatial tasks among 137 participants grouped by genetic risk, using the cytosine-adenine-guanine (CAG) repeat length multiplied by age (CAP) score to estimate disease progression. Results showed that high-risk participants exhibited significantly worse performance on tasks assessing visual memory and executive function compared to gene-negative controls, with tablet-based measures demonstrating strong reliability. The findings support TabCAT as a valid method for identifying early cognitive decline associated with prodromal HD, consistent with traditional neuropsychological assessments.
Additional Information
- Source:Archives of Clinical Neuropsychology. 2024/10, Vol. 39, Issue 7, p1059
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2024
- ISSN:0887-6177
- DOI:10.1093/arclin/acae067.132
- Accession Number:184163423
- Copyright Statement:Copyright of Archives of Clinical Neuropsychology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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