Investigating Eye Movement Metrics and Traditional Visuospatial Task Performance in Heterogeneous Alzheimer's Disease

Non-amnestic AD participants showed different relationships between fixation duration and visuospatial function scores for face vs. scene trials, suggesting that more frequent sampling of regions of an affective face may improve visuospatial task performance in non-amnestic AD participants. While preliminary, these findings suggest eye movement metrics may add meaningful information to our interpretation of neuropsychological test performance, and highlight the importance of considering eye movement performance in a clinical context.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70857_100357
Primary Topic
Visual Attention and Saliency Detection
Type
article
Field-Weighted Citation Impact
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article

Investigating Eye Movement Metrics and Traditional Visuospatial Task Performance in Heterogeneous Alzheimer's Disease

Carolyn Fredericks, Hyun Yi, Corey Horien, Bronte Ficek‐Tani
Alzheimer s & Dementia
Visual Attention and Saliency Detection
article

Investigating Eye Movement Metrics and Traditional Visuospatial Task Performance in Heterogeneous Alzheimer's Disease

Carolyn Fredericks, Hyun Yi, Corey Horien, Bronte Ficek‐Tani
article en

Abstract

Non-amnestic AD participants showed different relationships between fixation duration and visuospatial function scores for face vs. scene trials, suggesting that more frequent sampling of regions of an affective face may improve visuospatial task performance in non-amnestic AD participants. While preliminary, these findings suggest eye movement metrics may add meaningful information to our interpretation of neuropsychological test performance, and highlight the importance of considering eye movement performance in a clinical context.

Alzheimer s & DementiaVol. 21(S3)
Yale New Haven Hospital (US), University of Washington (US), Yale University (US), University of Pennsylvania (US)
Openalex Percentile: Top 36%
Visual Attention and Saliency Detection
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