Evidence map›Paper›PMID 39953283›Full record

ArticleScientific reports2025

Gait impairment associated with neuroimaging biomarkers in Alzheimer's disease.

Sung-Woo Kim, Dong Ho Kim, Jin Yong Hong, Kyung-Ryoul Mun, Dawoon Jung, Ickpyo Hong, Ríona Mc Ardle, Joon-Kyung Seong, Min Seok Baek

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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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

9 authors.

Sung-Woo Kim *Department of Neurology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju, Gangwon State, 26426, Republic of Korea.
Dong Ho Kim *Department of Artificial Intelligence, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
Jin Yong HongDepartment of Neurology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju, Gangwon State, 26426, Republic of Korea.
Kyung-Ryoul MunCenter for Artificial Intelligence, Korea Institute of Science and Technology (KIST), 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul, Republic of Korea.
Dawoon JungCenter for Artificial Intelligence, Korea Institute of Science and Technology (KIST), 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul, Republic of Korea.
Ickpyo HongDepartment of Occupational Therapy, College of Software and Digital Healthcare Convergence, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon State, 26493, Republic of Korea.
Ríona Mc ArdleTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Framlington Place, Newcastle upon Tyne, NE2 4HH, UK.
Joon-Kyung SeongDepartment of Artificial Intelligence, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
Min Seok BaekDepartment of Neurology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju, Gangwon State, 26426, Republic of Korea. minbaek@yonsei.ac.kr.

Funding

National Research Foundation of Korea NRF2022R1C1C1012535National Research Foundation of Korea RS-2024-00358576
6 · The paper itself

Abstract

Research links gait impairment in Alzheimer's disease (AD) to cognitive abnormalities, brain atrophy, or amyloid-β (Aβ) deposition, with the exact cause unclear. This study investigated the relationship between gait, neuroimaging biomarkers, and cognition across the AD spectrum. We recruited 48 AD dementia patients, 27 with prodromal AD, and 41 cognitively unimpaired individuals, analyzing associations among gait parameters, cognitive scores, Aβ deposition, and cortical atrophy. Path and receiver operating characteristic (ROC) analyses evaluated gait impairment's interdependent interactions and diagnostic potential. Prodromal AD and AD dementia patients showed significantly slower gait pace than CU (p = 0.014 [velocity], p = 0.003 [step length]), linked to attention and executive functions, widespread Aβ deposition, and cortical atrophy, in the inferior parietal lobule, middle temporal gyrus, precuneus, and insula. Compared to CU, AD dementia patients exhibited greater gait variability and phase (p = 0.017 [step length standard deviation], p = 0.001 [double support percentage]), significantly correlated with cognition and Aβ deposition. Path analysis revealed a combined influence of Aβ deposition, cognitive impairment, and cortical atrophy on gait impairment, with > 80% observed gait impairments directly affected by Aβ deposition. ROC curves for diagnosing AD stages showed significant areas under the curve, suggesting gait characteristics as noninvasive biomarkers for early AD diagnosis and progression monitoring.

Indexed as

Alzheimer DiseaseGaitGait Disorders, NeurologicNeuroimagingAgedAged, 80 and overAmyloid beta-PeptidesAtrophyBiomarkersBrainCognitive DysfunctionFemaleHumansMaleMiddle AgedROC CurveAmyloid beta-PeptidesBiomarkers

Identifiers

PMID39953283
PMCPMC11828857

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.