Evidence map›Paper›PMID 37910289›Full record

ArticleAging clinical and experimental research2023

Differential eye movement features between Alzheimer's disease patients with and without depressive symptoms.

Xiaofen Weng, Shanwen Liu, Meng Li, Yingchun Zhang, Jiangtao Zhu, Chunfeng Liu, Hua Hu

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Article in Aging clinical and experimental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaofen Weng *Department of Neurology, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China.
Shanwen Liu *Department of Neurology, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China.
Meng LiDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Yingchun ZhangDepartment of Ultrasonography, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Jiangtao ZhuDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Chunfeng LiuDepartment of Neurology, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China.
Hua HuDepartment of Neurology, The Second Affiliated Hospital of Soochow University, 1055 San Xiang Road, Suzhou, 215004, Jiangsu, China. sz_huhua@126.com.ORCID http://orcid.org/0000-0001-7994-7827

Funding

Application of Clinical Technology in Elderly Health Research Project in Jiangsu Province LD2021031Jiangsu Provincial Medical Key Discipline for the 14th Five-Year Plan ZDXK202217Research Project of Neurological Diseases in the Second Affiliated Hospital of Suzhou University, Research Center ND2023A01Suzhou Science and Technology Plan Medical and Health Care Science and Technology Innovation Applied Basic Research SKY2022161
6 · The paper itself

Abstract

backgroundAccurately diagnosing depressive symptoms in Alzheimer's disease (AD) patients is often challenging. Eye movement parameters have been demonstrated as biomarkers for assessing cognition and psychological conditions.

aimTo investigate the differences in eye movement between AD patients with and without depressive symptoms.

methodsEye movement data of 65 AD patients were compared between the depressed AD (D-AD) and non-depressed AD (nD-AD) groups. Logistic regression analysis was employed to identify diagnostic biomarkers and the ROC curve was plotted. The correlation between eye movement and HAMD-17 scores was assessed by partial correlation analysis.

resultsThe D-AD patients showed longer saccade latency and faster average/peak saccade velocities in the overlap prosaccade test, longer average reaction time and faster average saccade velocity in the gap prosaccade test, longer start-up durations, slower pursuit velocity, more offsets, and larger total offset degrees in the smooth pursuit test, and poorer fixation stability in both the central and lateral fixation tests compared to nD-AD patients. The start-up duration in the smooth pursuit test and the number of offsets in the central fixation test were identified as the diagnostic eye movement parameters for D-AD patients with the area under the ROC curves of 0.8011. Partial correlation analysis revealed that the start-up duration and pursuit velocity in the smooth pursuit test and the total offset degrees in the lateral fixation test were correlated with HAMD-17 scores in D-AD patients. DISCUSSION AND

conclusionsEye movement differences may help to differentiate D-AD patients from nD-AD patients in a non-invasive and cost-effective manner.

Indexed as

Alzheimer DiseaseEye MovementsBiomarkersDepressionHumansSaccadesBiomarkersAlzheimer’s diseaseDepressive symptomEye movementEye-tracking technology

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PMID37910289

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