Evidence map›Paper›PMID 37043115›Full record

ArticleActa neurologica Belgica2023

Volume changes of hippocampal and amygdala subfields in patients with mild cognitive impairment and Alzheimer's disease.

Hang Qu, Haitao Ge, Liping Wang, Wei Wang, Chunhong Hu

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In one paragraph

Article in Acta neurologica Belgica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
12.0field-weighted citation impact, top 1% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

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  16. MRI-Driven Longitudinal Studies of Hippocampal Alterations During the Initial Cognitive Decline.IEEE journal of translational engineering in health and medicine · 2025
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  18. Amygdala atrophies in specific subnuclei in preclinical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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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

5 authors at 3 institutions in 1 country.

Hang Qu *Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou Jiangsu, China.
Haitao Ge *School of Medical Imaging, Xuzhou Medical University, Xuzhou, China.
Liping Wang *Department of Biobank, Clinical Medical College, Yangzhou University, Yangzhou, China.
Wei WangDepartment of Radiology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Chunhong HuDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou Jiangsu, China. sdhuchunhong@sina.com.ORCID http://orcid.org/0000-0002-6343-758X
Soochow University · CNYangzhou University · CNXuzhou Medical College · CN

Funding

the General project of medical scientific research of Jiangsu Provincial Health Commission M2021044the General projects of Jiangsu Science and technology plan BK20211118the National Natural Science Foundation of China 82001512the Natural Science Foundation of the Jiangsu Higher Education Institution of China 16KJD320006the Scientific Research Foundation for Excellent Talents of Xuzhou Medical University D2014015
6 · The paper itself

Abstract

backgroundAutomated segmentation of hippocampal and amygdala subfields could improve classification accuracy of Mild Cognitive Impairments (MCI) and Alzheimer's Disease (AD) individuals.

methodsWe applied T1-weighted magnetic resonance imaging (MRI) for 21 AD, 39 MCI and 32 normal control (NC) participants at 3-Tesla MRI. Twelve hippocampal subfields and 9 amygdala subfields in each hemisphere were analyzed using FreeSurfer 6.0.

resultsSmaller volumes were observed in right/left whole hippocampus, right/left hippocampal tail, right/left subiculum, right Cornu ammonis 1(CA1), right/left molecular layer, right granule cell-molecular layer-dentate gyrus (GC-ML-DG), right CA4, right fimbria, right whole amygdala, right/left accessory basal, right anterior amygdala area, left central, left medial and right/left cortical nucleus of AD group compared to both MCI and NC groups (p < 0.001). The volumes of right presubiculum, right CA3, right hippocampus-amygdala-transition-area (HATA), right lateral, right basal, right central, right medial, right cortico-amygdaloid transition (CAT) and right paralaminar nucleus were significantly larger in NC than AD group (p ≤ 0.001), while the volumes of right subiculum, right CA1, right molecular layer, right whole hippocampus, right whole amygdala, right basal and right accessory basal were significantly larger in NC than MCI group (p ≤ 0.002). Trend analysis showed that most hippocampus and amygdala subfields have a trend of atrophy with the decline of cognitive function. Six core components were identified by the hierarchical clustering. The combined Receiver operating characteristic (ROC) analysis achieved the diagnostic performances (AUC: 0.81) in differentiating AD from MCI; (AUC: 0.79) in differentiating MCI from NC and (AUC: 0.97) in differentiating AD from NC.

conclusionsVolumetric differences of hippocampus and amygdala were at a finer subfields scale, and the volumes of right basal nucleus, left parasubiculum, left medial nucleus, left GC-ML-DG, left hippocampal fissure, and right fimbria can be employed as neuroimaging biomarkers to assist the clinical diagnosis of MCI and AD.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmygdalaHippocampusHumansMagnetic Resonance ImagingTemporal LobeAlzheimer’s diseaseAmygdalaAutomated segmentation methodHippocampusMild cognitive impairment

Identifiers

PMID37043115
OpenAlexW4365136399

What OpenQuestion holds

Textmetadata
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.