Evidence map›Paper›PMID 39397271›Full record

ArticleHuman brain mapping2024

Human Claustrum Connections: Robust In Vivo Detection by DWI-Based Tractography in Two Large Samples.

Jil Wendt, Antonia Neubauer, Dennis M Hedderich, Benita Schmitz-Koep, Sevilay Ayyildiz, David Schinz, Rebecca Hippen, Marcel Daamen, Henning Boecker, Claus Zimmer and 4 more

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Review
  2. Multiscale characterization of the human claustrum from histology to MRI.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Review
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

14 authors.

Jil WendtDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0003-0160-3623
Antonia NeubauerDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Dennis M HedderichDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0001-8994-5593
Benita Schmitz-KoepDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0002-8874-5749
Sevilay AyyildizDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
David SchinzDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0003-3734-1135
Rebecca HippenDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Marcel DaamenDepartment of Diagnostic and Interventional Radiology, Clinical Functional Imaging Group, University Hospital Bonn, Bonn, Germany.ORCID 0000-0002-3017-3901
Henning BoeckerDepartment of Diagnostic and Interventional Radiology, Clinical Functional Imaging Group, University Hospital Bonn, Bonn, Germany.ORCID 0000-0003-2346-0598
Claus ZimmerDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Dieter WolkeDepartment of Psychology, University of Warwick, Coventry, UK.
Peter BartmannDepartment of Neonatology and Pediatric Intensive Care, University Hospital Bonn, Bonn, Germany.
Christian SorgDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Aurore MenegauxDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Bundesministerium für Bildung und Forschung BMBF 01ER0801Bundesministerium für Bildung und Forschung BMBF 01ER0803Deutsche Forschungsgemeinschaft HE 8967/3-1Deutsche Forschungsgemeinschaft ME 5894/2-1Deutsche Forschungsgemeinschaft SO 1336/1-1Else Kröner-Fresenius-StiftungHorizon 2020 Framework Programme 733280Kommission für Klinische Forschung, Technische Universität München KKF 8700000474Kommission für Klinische Forschung, Technische Universität München KKF 8700000811Kommission für Klinische Forschung, Technische Universität München KKF 8765162NIMH NIH HHS U54 MH091657Studienstiftung des Deutschen VolkesUKRI Frontier Research Grant EP/X023206/1
6 · The paper itself

Abstract

Despite substantial neuroscience research in the last decade revealing the claustrum's prominent role in mammalian forebrain organization, as evidenced by its extraordinarily widespread connectivity pattern, claustrum studies in humans are rare. This is particularly true for studies focusing on claustrum connections. Two primary reasons may account for this situation: First, the intricate anatomy of the human claustrum located between the external and extreme capsule hinders straightforward and reliable structural delineation. In addition, the few studies that used diffusion-weighted-imaging (DWI)-based tractography could not clarify whether in vivo tractography consistently and reliably identifies claustrum connections in humans across different subjects, cohorts, imaging methods, and connectivity metrics. To address these issues, we combined a recently developed deep-learning-based claustrum segmentation tool with DWI-based tractography in two large adult cohorts: 81 healthy young adults from the human connectome project and 81 further healthy young participants from the Bavarian longitudinal study. Tracts between the claustrum and 13 cortical and 9 subcortical regions were reconstructed in each subject using probabilistic tractography. Probabilistic group average maps and different connectivity metrics were generated to assess the claustrum's connectivity profile as well as consistency and replicability of tractography. We found, across individuals, cohorts, DWI-protocols, and measures, consistent and replicable cortical and subcortical ipsi- and contralateral claustrum connections. This result demonstrates robust in vivo tractography of claustrum connections in humans, providing a base for further examinations of claustrum connectivity in health and disease.

Indexed as

ClaustrumConnectomeDeep LearningDiffusion Tensor ImagingAdultDiffusion Magnetic Resonance ImagingFemaleHumansLongitudinal StudiesMaleNeural PathwaysYoung AdultclaustrumconnectivityDWIHCPmagnetic resonance imagingtractography

Identifiers

PMID39397271
PMCPMC11471578

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Registered trials

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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.