Evidence map›Paper›PMID 26747746›Full record

ArticleNeuroImage2016

Heritability and reliability of automatically segmented human hippocampal formation subregions.

Christopher D Whelan, Derrek P Hibar, Laura S van Velzen, Anthony S Zannas, Tania Carrillo-Roa, Katie McMahon, Gautam Prasad, Sinéad Kelly, Joshua Faskowitz, Greig deZubiracay and 10 more

Abstract readTwin Study
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 2 pooled it
–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

74 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  7. Molecular, Structural, and Functional Neuroimaging in Major Depression.Advances in experimental medicine and biology · 2026
    Review
  8. Brain-age in ultra-low-field MRI: How well does it work?Imaging neuroscience (Cambridge, Mass.) · 2026
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14 more citing papers are in PubMed but not listed here.

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

20 authors.

Christopher D WhelanImaging Genetics Center, University of Southern California, Marina del Rey, CA, USA.
Derrek P HibarImaging Genetics Center, University of Southern California, Marina del Rey, CA, USA.
Laura S van VelzenDepartment of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center and GGZ inGeest, Amsterdam, The Netherlands.
Anthony S ZannasDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
Tania Carrillo-RoaDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
Katie McMahonCentre for Advanced Imaging, University of Queensland, Brisbane, Australia.
Gautam PrasadImaging Genetics Center, University of Southern California, Marina del Rey, CA, USA.
Sinéad KellyImaging Genetics Center, University of Southern California, Marina del Rey, CA, USA.
Joshua FaskowitzImaging Genetics Center, University of Southern California, Marina del Rey, CA, USA.
Greig deZubiracayFaculty of Health, Queensland University of Technology, Brisbane, Australia.
Juan E IglesiasBasque Center on Cognition, Brain and Language, Donostia, Gipuzkoa, Spain.
Theo G M van ErpDepartment of Psychiatry and Human Behavior, University of California, Irvine, USA.
Thomas FrodlDepartment of Psychiatry, Otto-von Guericke-University of Magdeburg, Germany.
Nicholas G MartinQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Margaret J WrightQueensland Brain Institute, University of Queensland, Brisbane, Australia.
Neda JahanshadImaging Genetics Center, University of Southern California, Marina del Rey, CA, USA.
Lianne SchmaalDepartment of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center and GGZ inGeest, Amsterdam, The Netherlands.
Philipp G SämannDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
Paul M ThompsonImaging Genetics Center, University of Southern California, Marina del Rey, CA, USA. Electronic address: pthomp@usc.edu.
Alzheimer's Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Alzheimer's disease risk analyzed using population imaging genomicsR01AG040060 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2011 to 2016
$2.5M
NIA NIH HHS R01 AG040060NIA NIH HHS U01 AG024904NIBIB NIH HHS U54 EB020403
6 · The paper itself

Abstract

The human hippocampal formation can be divided into a set of cytoarchitecturally and functionally distinct subregions, involved in different aspects of memory formation. Neuroanatomical disruptions within these subregions are associated with several debilitating brain disorders including Alzheimer's disease, major depression, schizophrenia, and bipolar disorder. Multi-center brain imaging consortia, such as the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) consortium, are interested in studying disease effects on these subregions, and in the genetic factors that affect them. For large-scale studies, automated extraction and subsequent genomic association studies of these hippocampal subregion measures may provide additional insight. Here, we evaluated the test-retest reliability and transplatform reliability (1.5T versus 3T) of the subregion segmentation module in the FreeSurfer software package using three independent cohorts of healthy adults, one young (Queensland Twins Imaging Study, N=39), another elderly (Alzheimer's Disease Neuroimaging Initiative, ADNI-2, N=163) and another mixed cohort of healthy and depressed participants (Max Planck Institute, MPIP, N=598). We also investigated agreement between the most recent version of this algorithm (v6.0) and an older version (v5.3), again using the ADNI-2 and MPIP cohorts in addition to a sample from the Netherlands Study for Depression and Anxiety (NESDA) (N=221). Finally, we estimated the heritability (h(2)) of the segmented subregion volumes using the full sample of young, healthy QTIM twins (N=728). Test-retest reliability was high for all twelve subregions in the 3T ADNI-2 sample (intraclass correlation coefficient (ICC)=0.70-0.97) and moderate-to-high in the 4T QTIM sample (ICC=0.5-0.89). Transplatform reliability was strong for eleven of the twelve subregions (ICC=0.66-0.96); however, the hippocampal fissure was not consistently reconstructed across 1.5T and 3T field strengths (ICC=0.47-0.57). Between-version agreement was moderate for the hippocampal tail, subiculum and presubiculum (ICC=0.78-0.84; Dice Similarity Coefficient (DSC)=0.55-0.70), and poor for all other subregions (ICC=0.34-0.81; DSC=0.28-0.51). All hippocampal subregion volumes were highly heritable (h(2)=0.67-0.91). Our findings indicate that eleven of the twelve human hippocampal subregions segmented using FreeSurfer version 6.0 may serve as reliable and informative quantitative phenotypes for future multi-site imaging genetics initiatives such as those of the ENIGMA consortium.

Indexed as

AdultAgedAged, 80 and overAlgorithmsAlzheimer DiseaseAnxiety DisordersDepressive DisorderFemaleHippocampusHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingPhenotype

Identifiers

PMID26747746
PMCPMC4883013

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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.