Evidence map›Paper›PMID 33368865›Full record

ReviewHuman brain mapping2022

FreeSurfer-based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts.

Philipp G Sämann, Juan Eugenio Iglesias, Boris Gutman, Dominik Grotegerd, Ramona Leenings, Claas Flint, Udo Dannlowski, Emily K Clarke-Rubright, Rajendra A Morey, Theo G M van Erp and 8 more

Open access · goldAbstract readReview
In one paragraph

Review in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
5.9field-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

69 citing papers in PubMed, 1 synthesis or guideline pooled it, 114 citations in OpenAlex.

  1. Pooled it
  2. Testing effects of paced breathing on plasma Aβ and brain perivascular spaces.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2026
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  5. Nutritional state-dependent changes in subcortical limbic structures in anorexia nervosa are linked to leptin, ghrelin, and neurofilament light.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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9 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

18 authors at 10 institutions in 6 countries.

Philipp G SämannMax Planck Institute of Psychiatry, Munich, Germany.ORCID 0000-0001-8523-3628
Juan Eugenio IglesiasCentre for Medical Image Computing, University College London, London, UK.
Boris GutmanDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, USA.
Dominik GrotegerdDepartment of Psychiatry, University of Münster, Münster, Germany.
Ramona LeeningsDepartment of Psychiatry, University of Münster, Münster, Germany.
Claas FlintDepartment of Psychiatry, University of Münster, Münster, Germany.
Udo DannlowskiDepartment of Psychiatry, University of Münster, Münster, Germany.
Emily K Clarke-RubrightBrain Imaging and Analysis Center, Duke University, Durham, North Carolina, USA.
Rajendra A MoreyBrain Imaging and Analysis Center, Duke University, Durham, North Carolina, USA.
Theo G M van ErpClinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, California, USA.
Christopher D WhelanImaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Laura K M HanDepartment of Psychiatry, Amsterdam University Medical Centers, Vrije Universiteit and GGZ inGeest, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Laura S van VelzenOrygen, Parkville, Australia.
Bo CaoDepartment of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada.
Jean C AugustinackThe Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, US.
Paul M ThompsonImaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Neda JahanshadImaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Lianne SchmaalOrygen, Parkville, Australia.
University of Münster · DEUniversity of Southern California · USDuke University · USHarvard University · USThe University of Melbourne · AUAmsterdam Neuroscience · NLIllinois Institute of Technology · USMax Planck Institute of Psychiatry · DEUniversity of Alberta · CAUniversity of California, Irvine · US

Funding

Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Trauma and Genomics Modulate Brain Structure across Common Psychiatric DisordersR01MH111671 · NIMH · DUKE UNIVERSITY · PI MARK W LOGUE, RAJENDRA A MOREY · 2017 to 2026
$4.4M
Building a pathology-validated neuroimaging tool for Alzheimer's DiseaseR01AG057672 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AUGUSTINACK, JEAN · 2018 to 2022
$2.4M
NIA NIH HHS R01 AG057672NIBIB NIH HHS U54 EB020403NIMH NIH HHS R01 MH111671
6 · The paper itself

Abstract

Structural hippocampal abnormalities are common in many neurological and psychiatric disorders, and variation in hippocampal measures is related to cognitive performance and other complex phenotypes such as stress sensitivity. Hippocampal subregions are increasingly studied, as automated algorithms have become available for mapping and volume quantification. In the context of the Enhancing Neuro Imaging Genetics through Meta Analysis Consortium, several Disease Working Groups are using the FreeSurfer software to analyze hippocampal subregion (subfield) volumes in patients with neurological and psychiatric conditions along with data from matched controls. In this overview, we explain the algorithm's principles, summarize measurement reliability studies, and demonstrate two additional aspects (subfield autocorrelation and volume/reliability correlation) with illustrative data. We then explain the rationale for a standardized hippocampal subfield segmentation quality control (QC) procedure for improved pipeline harmonization. To guide researchers to make optimal use of the algorithm, we discuss how global size and age effects can be modeled, how QC steps can be incorporated and how subfields may be aggregated into composite volumes. This discussion is based on a synopsis of 162 published neuroimaging studies (01/2013-12/2019) that applied the FreeSurfer hippocampal subfield segmentation in a broad range of domains including cognition and healthy aging, brain development and neurodegeneration, affective disorders, psychosis, stress regulation, neurotoxicity, epilepsy, inflammatory disease, childhood adversity and posttraumatic stress disorder, and candidate and whole genome (epi-)genetics. Finally, we highlight points where FreeSurfer-based hippocampal subfield studies may be optimized.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingNeuroimagingHippocampusHumansMulticenter Studies as TopicQuality ControlENIGMAFreeSurferhippocampal subfieldshippocampal subregionshippocampusMRIquality controlsegmentation

Identifiers

PMID33368865
PMCPMC8805696
OpenAlexW3114793870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.