Evidence map›Paper›PMID 40657534›Full record

ArticleIEEE journal of translational engineering in health and medicine2025

MRI-Driven Longitudinal Studies of Hippocampal Alterations During the Initial Cognitive Decline.

Qunxi Dong, Yuhang Sheng, Junru Zhu, Honghong Liu, Zhigang Li, Jingyu Liu, Yalin Wang, Bin Hu

Abstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 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

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

1 citing paper in PubMed.

  1. 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

8 authors.

Qunxi DongSchool of Medical Technology, Key Laboratory of Brain Health Intelligent Evaluation and Intervention, Ministry of EducationBeijing Institute of Technology Beijing 100081 China.ORCID 0000-0002-0484-3019
Yuhang ShengSchool of Medical Technology, Key Laboratory of Brain Health Intelligent Evaluation and Intervention, Ministry of EducationBeijing Institute of Technology Beijing 100081 China.ORCID 0009-0003-0221-4766
Junru ZhuSchool of Medical Technology, Key Laboratory of Brain Health Intelligent Evaluation and Intervention, Ministry of EducationBeijing Institute of Technology Beijing 100081 China.
Honghong LiuSchool of Medical Technology, Key Laboratory of Brain Health Intelligent Evaluation and Intervention, Ministry of EducationBeijing Institute of Technology Beijing 100081 China.
Zhigang LiSchool of Medical Technology, Key Laboratory of Brain Health Intelligent Evaluation and Intervention, Ministry of EducationBeijing Institute of Technology Beijing 100081 China.ORCID 0000-0003-1435-8671
Jingyu LiuSchool of Medical Technology, Key Laboratory of Brain Health Intelligent Evaluation and Intervention, Ministry of EducationBeijing Institute of Technology Beijing 100081 China.ORCID 0000-0002-1646-637X
Yalin WangSchool of Computing, Informatics and Decision Systems EngineeringArizona State University Tempe AZ 85287 USA.ORCID 0000-0002-6241-735X
Bin HuSchool of Medical Technology, Key Laboratory of Brain Health Intelligent Evaluation and Intervention, Ministry of EducationBeijing Institute of Technology Beijing 100081 China.ORCID 0000-0003-3514-5413

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on available magnetic resonance imaging (MRI) studies, hippocampal alteration is one of the hallmarks during cognitive decline. However, the longitudinal hippocampal morphometric changes during the initial cognitive decline are unclear. Exploring a validated biomarker with high clinical relevance is urgent. This work proposed an automated MRI-driven longitudinal hippocampal alteration analysis system (LHAAS), which consists of hippocampal segmentation, reconstruction, registration, multivariate morphometric feature extraction, and longitudinal analysis of hippocampal morphometric and volumetric differences between groups. LHAAS was applied on two groups: cognitive unimpaired (CU) participants who maintained cognitive unimpaired (non-Progressors), and participants who converted to MCI during the following four years (Progressors). LHAAS can detect and visualize subtle deformations in the bilateral hippocampus of CU progressors four years before they show initial cognitive decline. For CU progressors, hippocampal atrophy initially occurs at the CA1 subregion and then along with disease progression, spreading to the CA2-3 and Subiculum subregion, exhibiting a left-greater-than-right trend. The volumetric analyses showed similar results. Besides, hippocampal subregions highly correlated with clinical measurement were identified by correlation analysis. LHAAS can accurately reflect the small hippocampal subregional atrophy at preclinical AD. This proposed system can track the longitudinal hippocampal alterations in the early stages of AD and provide insights for early intervention. Clinical and Translational Impact Statement: LHAAS offers early detection of subtle hippocampal alterations at preclinical AD. This advance enables pathological research and timely interventions to potentially improve patient outcomes in clinical implementation.

Indexed as

Cognitive DysfunctionHippocampusMagnetic Resonance ImagingAgedAged, 80 and overAtrophyDisease ProgressionFemaleHumansLongitudinal StudiesMaleMiddle AgedAlzheimer’s diseasehippocampal morphometrylongitudinal studiesMRI-drivenpreclinical

Identifiers

PMID40657534
PMCPMC12251066

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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.