Evidence map›Paper›PMID 31955294›Full record

ArticleBrain structure & function2020

Multimodal mapping and analysis of the cyto- and receptorarchitecture of the human hippocampus.

Nicola Palomero-Gallagher, Olga Kedo, Hartmut Mohlberg, Karl Zilles, Katrin Amunts

Open access · hybridAbstract read
In one paragraph

Article in Brain structure & function, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
6.1field-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

51 citing papers in PubMed, 91 citations in OpenAlex.

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  13. Absolute Number of Three Populations of Interneurons and All GABAergic Synapses in the Human Hippocampus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  14. Digital tools of analysis and data integration facilitate synergy between mouse and human brain research and enable translation.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
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  15. Article
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  17. An In Vivo High-Resolution Human Brain Atlas of Synaptic Density.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  18. Article
  19. Diffusion MRI of the Hippocampus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
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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

5 authors at 1 institution in 1 country.

Nicola Palomero-GallagherInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425, Jülich, Germany. n.palomero-gallagher@fz-juelich.de.ORCID http://orcid.org/0000-0003-4463-8578
Olga KedoInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425, Jülich, Germany.
Hartmut MohlbergInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425, Jülich, Germany.
Karl ZillesInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425, Jülich, Germany.
Katrin AmuntsInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425, Jülich, Germany.
Forschungszentrum Jülich · DE

Funding

Horizon 2020 785907
6 · The paper itself

Abstract

The human hippocampal formation is relevant for various aspects of memory and learning, and the different hippocampal regions are differentially affected by neuropsychiatric disorders. Therefore, the hippocampal formation has been subject of numerous cytoarchitectonic and other mapping studies, which resulted in divergent parcellation schemes. To understand the principles of hippocampal architecture, it is necessary to integrate different levels of hippocampal organisation, going beyond one modality. We here applied a multimodal mapping approach combining cyto- and multi-receptorarchitectonic analyses, and generated probabilistic maps in stereotaxic space of the identified regions. Cytoarchitecture in combination with the regional and laminar distribution of 15 neurotransmitter receptors visualized by in vitro receptor autoradiography were analysed in seven hemispheres from 6 unfixed shock frozen and serially sectioned brains. Cytoarchitectonic delineations for generation of probabilistic maps were carried out on histological sections from ten fixed, paraffin embedded and serially sectioned brains. Nine cyto- and receptorarchitectonically distinct regions were identified within the hippocampal formation (i.e., fascia dentata, cornu Ammonis (CA) regions 1-4, prosubiculum, subiculum proper, presubiculum and parasubiculum), as well as the hippocampal-amygdaloid transition area and the periallocortical transsubiculum. Subsequently generated probabilistic maps quantify intersubject variability in the size and extent of these cyto- and receptorarchitectonically distinct regions. The regions did not differ in their volume between the hemispheres and gender. Receptor mapping revealed additional subdivisions which could not be detected by cytoarchitectonic analysis alone. They correspond to parcellations previously found in immunohistochemical and connectivity studies. The multimodal approach enabled the definition of regions not consistently reported, e.g., CA4 region or prosubiculum. The ensuing detailed probabilistic maps of the hippocampal formation constitute the basis for future architectonically informed analyses of in vivo neuroimaging studies.

Indexed as

AgedAutoradiographyBrain MappingFemaleHippocampusHumansMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingNeuronsReceptors, NeurotransmitterReceptors, NeurotransmitterCA1CA2CA3CA4CytoarchitectureDentate gyrusHippocampusParasubiculumPresubiculumProbabilistic mapsProsubiculumReceptor autoradiographySubiculum

Identifiers

PMID31955294
PMCPMC7166210
OpenAlexW3000437605

What OpenQuestion holds

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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.