Evidence map›Paper›PMID 41451798›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Detecting Alzheimer's disease using digital virtual reality cognitive tests.

Lili Fang, Xiang Fan, Anqi Li, Yue Cai, Pan Sun, Zhuonan Wei, Hui Chen, Keyan Yu, Guoyu Lan, Fernando Gonzalez-Ortiz and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Detecting Alzheimer's disease using digital virtual reality cognitive tests.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Lili FangInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Xiang FanDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Anqi LiInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Yue CaiInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Pan SunInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Zhuonan WeiDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Hui ChenDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Keyan YuDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Guoyu LanInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Fernando Gonzalez-OrtizInstitute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Lin LiuInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Yiying WangInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Zhengbo HeInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Xin ZhouInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Laihong ZhangInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Mingxing JiangInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Lele ChenDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Gaigai LuDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Lin HuDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Zhen LiuInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Kaj BlennowInstitute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Dai ShiDepartment of Neurology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Guanxun ChengDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Tengfei GuoInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.ORCID 0000-0003-2982-0865

Funding

Guangdong Basic and Applied Basic Science Foundation 2023B1515020113National Natural Science Foundation of China 82422027National Natural Science Foundation of China U24A20340Shenzhen Bay Laboratory S241101004-1Shenzhen Science and Technology Program KCXFZ20211020163408012Shenzhen Science and Technology Program RCYX20221008092935096
6 · The paper itself

Abstract

introductionDigital biomarkers for detecting Alzheimer's disease (AD) remain controversial due to inconsistent accuracy and unclear relationships with AD core biomarkers.

methodsThis study recruited 428 Chinese older adults to determine the associations of artificial intelligence (AI)-assisted virtual reality (VR) cognitive scores with plasma amyloid beta (Aβ)

resultsThe AI-VR cognitive scores were significantly correlated with plasma Aβ DISCUSSION: This study comprehensively examined the capacity of a 5-minute AI-VR cognitive test for identifying abnormal cognition and AD biomarkers, offering a reliable digital marker for early AD detection in community settings. HIGHLIGHTS: Digital virtual-reality cognitive tests correlate with AD biomarkers Digital virtual-reality cognitive tests can identify cognitive impairment Digital virtual-reality cognitive tests can classify those who are amyloid beta positron emission tomography positive from negative.

Indexed as

Alzheimer DiseaseNeuropsychological TestsVirtual RealityAgedAged, 80 and overAmyloid beta-PeptidesArtificial IntelligenceBiomarkersCognitive DysfunctionFemaleHumansMaleMiddle AgedPositron-Emission Tomographytau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer's diseasebiomarkerdiagnosisdigital cognitive test

Identifiers

PMID41451798
PMCPMC12741892

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.