Evidence map›Paper›PMID 41013385›Full record

ArticleBMC medical imaging2025

Volumetric alterations of hippocampal and amygdala subfields in Azheimer's disease.

Qi Feng, Zhehao Zhang, Fengyi Dai, Yan Chen, Zhongxiang Ding, Luoyu Wang

Abstract read
In one paragraph

Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

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4 · The record

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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

6 authors.

Qi Feng *Department of Radiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, P.R. China.
Zhehao Zhang *Graduate School, Zhejiang Chinese Medical University, Hangzhou, P.R. China.
Fengyi DaiGraduate School, Zhejiang Chinese Medical University, Hangzhou, P.R. China.
Yan ChenDepartment of Psychiatry, Zhejiang Provincial People's Hospital/People's Hospital of Hangzhou Medical College, Hangzhou, P.R. China.
Zhongxiang DingDepartment of Radiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, P.R. China. hangzhoudzx73@126.com.
Luoyu WangDepartment of Radiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, P.R. China. wangluoyu0827@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous studies have shown that patients with Azheimer's disease (AD) or amnestic mild cognitive impairment (aMCI) have atrophy in the hippocampus and amygdala. However, there are few MRI studies that have jointly analyzed the volumes of the 19 hippocampal subfields and the 9 amygdala subfields. MATERIALS AND

methodsIn this cross-sectional study, we used the method of analysis of covariance (ANCOVA) to analyze the volume differences of hippocampal and amygdala subfields among three groups of 40 normal control (NC), 40 aMCI and 53 AD, and conducted correlation analysis between these subfield volumes with significant differences and the overall cognitive scores.

resultsOur volumetric analyses revealed significant atrophy in 16 hippocampal subfields among three groups. However, no significant volume loss was observed in the amygdalar subfields after rigorous multiple-testing correction. Interestingly, the atrophy was mainly concentrated in the right hemisphere. In addition, our study also found that the volume of some subfields of the hippocampus was significantly positively correlated with MMSE and MoCA scores.

conclusionThese results suggest that volume reduction in some hippocampus subfields may serve as a biomarker reflecting cognitive decline in patients with AD and aMCI.

Indexed as

Alzheimer DiseaseAmygdalaCognitive DysfunctionHippocampusMagnetic Resonance ImagingAgedAged, 80 and overAtrophyCross-Sectional StudiesFemaleHumansMaleMiddle AgedOrgan SizeAmnestic mild cognitive impairmentAmygdalaAzheimer’s diseaseHigh‑resolution magnetic resonance imagingHippocampus

Identifiers

PMID41013385
PMCPMC12465523

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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.