Evidence map›Paper›PMID 29387938›Full record

ArticleBrain structure & function2018

Post-mortem inference of the human hippocampal connectivity and microstructure using ultra-high field diffusion MRI at 11.7 T.

Justine Beaujoin, Nicola Palomero-Gallagher, Fawzi Boumezbeur, Markus Axer, Jeremy Bernard, Fabrice Poupon, Daniel Schmitz, Jean-François Mangin, Cyril Poupon

Open access · hybridAbstract read
In one paragraph

Article in Brain structure & function, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
5.6field-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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
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  12. Diffusion MRI of the Hippocampus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
  13. Article
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  18. Frontiers in neuroanatomy · 2023
    Article
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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

9 authors at 4 institutions in 2 countries.

Justine BeaujoinCEA NeuroSpin/UNIRS, Gif-sur-Yvette, France. justine.beaujoin@cea.fr.
Nicola Palomero-GallagherForschungszentrum Jülich, INM-1, Jülich, Germany.
Fawzi BoumezbeurCEA NeuroSpin/UNIRS, Gif-sur-Yvette, France.
Markus AxerForschungszentrum Jülich, INM-1, Jülich, Germany.
Jeremy BernardCEA NeuroSpin/UNIRS, Gif-sur-Yvette, France.
Fabrice PouponUniversité Paris-Saclay, Orsay, France.
Daniel SchmitzForschungszentrum Jülich, INM-1, Jülich, Germany.
Jean-François ManginUniversité Paris-Saclay, Orsay, France.
Cyril PouponCEA NeuroSpin/UNIRS, Gif-sur-Yvette, France.
Commissariat à l'Énergie Atomique et aux Énergies Alternatives · FRForschungszentrum Jülich · DEDirection de la Recherche Fondamentale · FRUniversité Paris-Saclay · FR

Funding

H2020 Future and Emerging Technologies 720270
6 · The paper itself

Abstract

The human hippocampus plays a key role in memory management and is one of the first structures affected by Alzheimer's disease. Ultra-high magnetic resonance imaging provides access to its inner structure in vivo. However, gradient limitations on clinical systems hinder access to its inner connectivity and microstructure. A major target of this paper is the demonstration of diffusion MRI potential, using ultra-high field (11.7 T) and strong gradients (750 mT/m), to reveal the extra- and intra-hippocampal connectivity in addition to its microstructure. To this purpose, a multiple-shell diffusion-weighted acquisition protocol was developed to reach an ultra-high spatio-angular resolution with a good signal-to-noise ratio. The MRI data set was analyzed using analytical Q-Ball Imaging, Diffusion Tensor Imaging (DTI), and Neurite Orientation Dispersion and Density Imaging models. High Angular Resolution Diffusion Imaging estimates allowed us to obtain an accurate tractography resolving more complex fiber architecture than DTI models, and subsequently provided a map of the cross-regional connectivity. The neurite density was akin to that found in the histological literature, revealing the three hippocampal layers. Moreover, a gradient of connectivity and neurite density was observed between the anterior and the posterior part of the hippocampus. These results demonstrate that ex vivo ultra-high field/ultra-high gradients diffusion-weighted MRI allows the mapping of the inner connectivity of the human hippocampus, its microstructure, and to accurately reconstruct elements of the polysynaptic intra-hippocampal pathway using fiber tractography techniques at very high spatial/angular resolutions.

Indexed as

Diffusion Magnetic Resonance ImagingImage Processing, Computer-AssistedAged, 80 and overAutopsyBrain MappingHippocampusHumansMaleNerve NetNeural PathwaysDiffusion MRIHuman hippocampusMicrostructure imagingNeurite densityStructural connectivity

Identifiers

PMID29387938
PMCPMC5968081
OpenAlexW2787382845

What OpenQuestion holds

Textmetadata
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.