Evidence map›Paper›PMID 28596993›Full record

ArticleBrain and neuroscience advances2017

Segmenting subregions of the human hippocampus on structural magnetic resonance image scans: An illustrated tutorial.

Marshall A Dalton, Peter Zeidman, Daniel N Barry, Elaine Williams, Eleanor A Maguire

Erratum issuedAbstract read
In one paragraph

Article in Brain and neuroscience advances, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. Attention-gated 3D CapsNet for robust hippocampal segmentation.Journal of medical imaging (Bellingham, Wash.) · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Marshall A DaltonWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK.
Peter ZeidmanWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK.
Daniel N BarryWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK.
Elaine WilliamsWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK.
Eleanor A MaguireWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK.

Funding

Medical Research Council G0300117Medical Research Council G1002276Wellcome Trust
6 · The paper itself

Abstract

backgroundThe hippocampus plays a central role in cognition, and understanding the specific contributions of its subregions will likely be key to explaining its wide-ranging functions. However, delineating substructures within the human hippocampus in vivo from magnetic resonance image scans is fraught with difficulties. To our knowledge, the extant literature contains only brief descriptions of segmentation procedures used to delineate hippocampal subregions in magnetic resonance imaging/functional magnetic resonance imaging studies.

methodsConsequently, here we provide a clear, step-by-step and fully illustrated guide to segmenting hippocampal subregions along the entire length of the human hippocampus on 3T magnetic resonance images.

resultsWe give a detailed description of how to segment the hippocampus into the following six subregions: dentate gyrus/Cornu Ammonis 4, CA3/2, CA1, subiculum, pre/parasubiculum and the uncus. Importantly, this in-depth protocol incorporates the most recent cyto- and chemo-architectural evidence and includes a series of comprehensive figures which compare slices of histologically stained tissue with equivalent 3T images.

conclusionAs hippocampal subregion segmentation is an evolving field of research, we do not suggest this protocol is definitive or final. Rather, we present a fully explained and expedient method of manual segmentation which remains faithful to our current understanding of human hippocampal neuroanatomy. We hope that this 'tutorial'-style guide, which can be followed by experts and non-experts alike, will be a practical resource for clinical and research scientists with an interest in the human hippocampus.

Indexed as

high-resolutionHippocampushistologymagnetic resonance imagingsegmentationsubfields

Identifiers

PMID28596993
PMCPMC5452574

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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.