Evidence map›Paper›PMID 30852398›Full record

ArticleNeuroImage. Clinical2019

Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects.

Qunxi Dong, Wen Zhang, Jianfeng Wu, Bolun Li, Emily H Schron, Travis McMahon, Jie Shi, Boris A Gutman, Kewei Chen, Leslie C Baxter and 4 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. APOEmedRxiv : the preprint server for health sciences · 2025
    Article
  5. 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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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

14 authors at 8 institutions in 1 country.

Qunxi DongSchool of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Wen ZhangSchool of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Jianfeng WuSchool of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Bolun LiSchool of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Emily H SchronWellesley College, Wellesley, MA, USA.
Travis McMahonSchool of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Jie ShiSchool of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Boris A GutmanArmour College of Engineering, Illinois Institute of Technology, Chicago, IL, USA.
Kewei ChenBanner Alzheimer's Institute, Phoenix, AZ, USA.
Leslie C BaxterHuman Brain Imaging Laboratory, Barrow Neurological Institute, Phoenix, AZ, USA.
Paul M ThompsonImaging Genetics Center, Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, CA, USA.
Eric M ReimanBanner Alzheimer's Institute, Phoenix, AZ, USA.
Richard J CaselliDepartment of Neurology, Mayo Clinic Arizona, Scottsdale, AZ, USA.
Yalin WangSchool of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA. Electronic address: ylwang@asu.edu.
Arizona State University · USBanner Alzheimer’s InstituteBarrow Neurological Institute · USDecision Systems (United States) · USIllinois Institute of Technology · USMayo Clinic in Arizona · USUniversity of Southern California · USWellesley College · US

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
PET, APOE & the Preclinical Course of Alzheimer's DiseaseR01AG031581 · NIA · BANNER ALZHEIMER'S INSTITUTE · PI CASELLI, RICHARD J., REIMAN, ERIC MICHAEL · 2008 to 2018
$16.6M
SVRIII: Brain Connectome and Neurodevelopment OutcomesR01HL128818 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PANIGRAHY, ASHOK · 2015 to 2019
$3.5M
Multi-Source Sparse Learning to Identify MCI and Predict DeclineRF1AG051710 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THOMPSON, PAUL M, WANG, YALIN · 2016 to 2016
$2.8M
Predicting the early childhood outcomes of preterm brain shape abnormalitiesR01EB025032 · NIBIB · CHILDREN'S HOSPITAL OF LOS ANGELES · PI LEPORE, NATASHA · 2017 to 2020
$2.6M
ENIGMA World Aging CenterR56AG058854 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2018 to 2018
$683k
MRI Biomarker Discovery for Preclinical Alzheimers Disease with Geometry MethodsR21AG043760 · NIA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, YALIN · 2013 to 2014
$409k
Empowering Diffusion MRI Measures by Integrating White and Grey Matter MorphologyR21AG049216 · NIA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, YALIN · 2015 to 2016
$381k
NHLBI NIH HHS R01 HL128818NIA NIH HHS P30 AG019610NIA NIH HHS R01 AG031581NIA NIH HHS R21 AG043760NIA NIH HHS R21 AG049216NIA NIH HHS R56 AG058854NIA NIH HHS RF1 AG051710NIBIB NIH HHS R01 EB025032
6 · The paper itself

Abstract

Apolipoprotein E (APOE) e4 is the major genetic risk factor for late-onset Alzheimer's disease (AD). The dose-dependent impact of this allele on hippocampal volumes has been documented, but its influence on general hippocampal morphology in cognitively unimpaired individuals is still elusive. Capitalizing on the study of a large number of cognitively unimpaired late middle aged and older adults with two, one and no APOE-e4 alleles, the current study aims to characterize the ability of our automated surface-based hippocampal morphometry algorithm to distinguish between these three levels of genetic risk for AD and demonstrate its superiority to a commonly used hippocampal volume measurement. We examined the APOE-e4 dose effect on cross-sectional hippocampal morphology analysis in a magnetic resonance imaging (MRI) database of 117 cognitively unimpaired subjects aged between 50 and 85 years (mean = 57.4, SD = 6.3), including 36 heterozygotes (e3/e4), 37 homozygotes (e4/e4) and 44 non-carriers (e3/e3). The proposed automated framework includes hippocampal surface segmentation and reconstruction, higher-order hippocampal surface correspondence computation, and hippocampal surface deformation analysis with multivariate statistics. In our experiments, the surface-based method identified APOE-e4 dose effects on the left hippocampal morphology. Compared to the widely-used hippocampal volume measure, our hippocampal morphometry statistics showed greater statistical power by distinguishing cognitively unimpaired subjects with two, one, and no APOE-e4 alleles. Our findings mirrored previous studies showing that APOE-e4 has a dose effect on the acceleration of brain structure deformities. The results indicated that the proposed surface-based hippocampal morphometry measure is a potential preclinical AD imaging biomarker for cognitively unimpaired individuals.

Indexed as

AllelesAgedApolipoprotein E4CognitionFemaleGene DosageHippocampusHumansMaleMiddle AgedApolipoprotein E4Alzheimer's diseaseAPOE-e4Cognitively unimpairedHippocampal morphometryMagnetic resonance imaging (MRI)

Identifiers

PMID30852398
PMCPMC6411498
OpenAlexW2919242678

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.