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
Article Swipe
Philipp G. Sämann
,
Juan Eugenio Iglesias
,
Boris A. Gutman
,
Dominik Grotegerd
,
Ramona Leenings
,
Claas Flint
,
Udo Dannlowski
,
Emily K. Clarke‐Rubright
,
Rajendra A. Morey
,
Theo G.M. van Erp
,
Christopher D. Whelan
,
Laura K. M. Han
,
Laura S. van Velzen
,
Bo Cao
,
Jean C. Augustinack
,
Paul M. Thompson
,
Neda Jahanshad
,
Lianne Schmaal
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1002/hbm.25326
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1002/hbm.25326
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.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1002/hbm.25326
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.25326
- OA Status
- gold
- Cited By
- 106
- References
- 272
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3114793870
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3114793870Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/hbm.25326Digital Object Identifier
- Title
-
FreeSurfer ‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure forENIGMA studies and other collaborative effortsWork title - Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-12-27Full publication date if available
- Authors
-
Philipp G. Sämann, Juan Eugenio Iglesias, Boris A. Gutman, Dominik Grotegerd, Ramona Leenings, Claas Flint, Udo Dannlowski, Emily K. Clarke‐Rubright, Rajendra A. Morey, Theo G.M. van Erp, Christopher D. Whelan, Laura K. M. Han, Laura S. van Velzen, Bo Cao, Jean C. Augustinack, Paul M. Thompson, Neda Jahanshad, Lianne SchmaalList of authors in order
- Landing page
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https://doi.org/10.1002/hbm.25326Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.25326Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.25326Direct OA link when available
- Concepts
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Hippocampal formation, Neuroimaging, Context (archaeology), Cognition, Neuroscience, Segmentation, Computer science, Psychology, Medicine, Artificial intelligence, Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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106Total citation count in OpenAlex
- Citations by year (recent)
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2025: 25, 2024: 29, 2023: 31, 2022: 13, 2021: 6Per-year citation counts (last 5 years)
- References (count)
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272Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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