Evidence map›Paper›PMID 40801969›Full record

ArticleBrain structure & function2025

A comprehensive and reliable protocol for manual segmentation of the human claustrum using high-resolution MRI.

Steven Seung-Suk Kang, Joseph Bodenheimer, Kayley Morris, Tracy Butler

Abstract read
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In one paragraph

Article in Brain structure & function, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. 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
  2. Article
  3. Anatomic Interactive Atlas of the Loggerhead Sea Turtle (Animals : an open access journal from MDPI · 2026
    Article
  4. Article
  5. Article
  6. Article
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

4 authors.

Steven Seung-Suk KangDepartment of Biomedical Sciences, University of Missouri-Kansas City, Kansas City, MO, USA. kangseung@umkc.edu.
Joseph BodenheimerDepartment of Psychology, University of Kansas, Lawrence, KS, USA.
Kayley MorrisDepartment of Psychology, Penn State University, University Park, PA, USA.
Tracy ButlerDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA.

Funding

Brain and Behavior Research Foundation 25158
6 · The paper itself

Abstract

The claustrum is a thin gray matter structure in each brain hemisphere, characterized by exceptionally high connectivity with nearly all brain regions. Despite extensive animal studies on its anatomy and function and growing evidence of claustral deficits in neuropsychiatric disorders, its specific roles in normal and abnormal human brain function remain largely unknown. This is primarily due to its thin and complex morphology, which limits accurate anatomical delineation and neural activity isolation in conventional in vivo neuroimaging. To facilitate future neuroimaging studies, we developed a comprehensive and reliable manual segmentation protocol based on a cellular-resolution brain atlas and high-resolution (0.7 mm isotropic) MRI data. The protocols involve detailed guidelines to delineate the entire claustrum, including the inferior parts that have not been clearly described in earlier MRI studies. Additionally, we propose a geometric method to parcellate the claustrum into three subregions (the dorsal, ventral, and temporal claustrum) along the superior-to-inferior axis. The mean bilateral claustrum volume in 10 young adults was 3307.5 mm

Indexed as

ClaustrumImage Processing, Computer-AssistedMagnetic Resonance ImagingAdultFemaleHumansMaleNeuroimagingReproducibility of ResultsYoung AdultManual segmentation protocolMRIReliabilitySubregionsThe human claustrum

Identifiers

What OpenQuestion holds

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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.