Evidence map›Paper›PMID 37924354›Full record

ArticleBrain structure & function2024

ProbaStem, a pipeline towards the first high-resolution probabilistic atlas of the whole human brainstem.

Mohammad Seyyed Mohammadi, Alexia Planty-Bonjour, Fabrice Poupon, Ivy Uszynski, Cyril Poupon, Christophe Destrieux, Frédéric Andersson

Abstract read
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Article in Brain structure & function, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 5 institutions in 1 country.

Mohammad Seyyed MohammadiUMR 1253, Inserm, iBrain, Université de Tours, Tours, France.
Alexia Planty-BonjourUMR 1253, Inserm, iBrain, Université de Tours, Tours, France.
Fabrice PouponCEA, CNRS, BAOBAB, Paris-Saclay University, Gif-sur-Yvette, France.
Ivy UszynskiCEA, CNRS, BAOBAB, Paris-Saclay University, Gif-sur-Yvette, France.
Cyril PouponCEA, CNRS, BAOBAB, Paris-Saclay University, Gif-sur-Yvette, France.
Christophe Destrieux *UMR 1253, Inserm, iBrain, Université de Tours, Tours, France. christophe.destrieux@univ-tours.fr.
Frédéric Andersson *UMR 1253, Inserm, iBrain, Université de Tours, Tours, France.
Commissariat à l'Énergie Atomique et aux Énergies Alternatives · FRInserm · FRCEA Paris-Saclay · FRInserm Transfert · FRUniversité de Tours · FR

Funding

Agence Nationale de la Recherche 14-CE17-0015-01Fondation de France 00121421/WB-2021-36757Horizon 2020 Framework Programme 945539Ministère de l'Enseignement supérieur, de la Recherche et de l'Innovation Doctoral Grant
6 · The paper itself

Abstract

The brainstem plays an essential role in many vital functions, such as autonomic control, consciousness and sleep, motricity, somatic afferent function, and cognition. Its involvement in several neurological diseases and the definition of brainstem targets for deep brain stimulation (DBS) explain the need for brainstem atlases describing its structural organization and connectivity from several modalities, from histology to ultrahigh field ex vivo MRI. Nonetheless, these atlases are often limited to a subpart of the brainstem or only include a single subject, the brainstem variability being considered low. This paper proposes a pipeline to create a high-resolution multisubject probabilistic atlas of the whole human brainstem based on four ultrahigh field ex vivo MRI datasets. The variability of the brainstem structures appears higher than usually considered, both for the volume and position of the central gray matter structures of the brainstem. This justifies the creation of atlases that capture the anatomical variability across subjects. The one we present here only included four specimens, but can easily be incremented due to its highly flexible design.

Indexed as

Brain StemMagnetic Resonance ImagingGray MatterHistological TechniquesHumansAnatomyBrainstemEx vivo MRIProbabilistic atlasProbability mapUltrahigh field MRI

Identifiers

PMID37924354
OpenAlexW4388340903

What OpenQuestion holds

Textmetadata
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.