Evidence map›Paper›PMID 33951517›Full record

ArticleNeuroImage2021

A high-resolution interactive atlas of the human brainstem using magnetic resonance imaging.

Syed M Adil, Evan Calabrese, Lefko T Charalambous, James J Cook, Shervin Rahimpour, Ahmet F Atik, Gary P Cofer, Beth A Parente, G Allan Johnson, Shivanand P Lad and 1 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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  5. Probabilistic mapping and automated segmentation of human brainstem white matter bundles.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

11 authors at 4 institutions in 1 country.

Syed M AdilDepartment of Neurosurgery, Duke University Medical Center, Durham, NC, United States; Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States. Electronic address: syed.adil@duke.edu.
Evan CalabreseUniversity of California San Francisco, Department of Radiology & Biomedical Imaging, San Francisco, CA, United States. Electronic address: evan.calabrese@ucsf.edu.
Lefko T CharalambousDepartment of Neurosurgery, Duke University Medical Center, Durham, NC, United States; Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States. Electronic address: lefko.charalambous@duke.edu.
James J CookCenter for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States. Electronic address: james.j.cook@duke.edu.
Shervin RahimpourDepartment of Neurosurgery, Duke University Medical Center, Durham, NC, United States. Electronic address: shervin.rahimpour@duke.edu.
Ahmet F AtikDepartment of Neurosurgery, Cleveland Clinic, Cleveland, OH, United States. Electronic address: ahmetfatihatik@gmail.com.
Gary P CoferCenter for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States. Electronic address: gary.cofer@duke.edu.
Beth A ParenteDepartment of Neurosurgery, Duke University Medical Center, Durham, NC, United States. Electronic address: beth.parente@duke.edu.
G Allan JohnsonCenter for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States. Electronic address: gjohnson@duke.edu.
Shivanand P LadDepartment of Neurosurgery, Duke University Medical Center, Durham, NC, United States. Electronic address: nandan.lad@duke.edu.
Leonard E WhiteDepartment of Neurology, Duke University Medical Center, Durham, NC, United States; Duke Institute for Brain Sciences, Duke University, Durham NC, United States. Electronic address: len.white@duke.edu.
Duke University · USCleveland Clinic · USDuke Medical Center · USUniversity of California, San Francisco · US

Funding

INTEGRATED CENTER FOR IN VIVO MICROSCOPYP41EB015897 · NIBIB · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2017
$7.4M
Biomedical Imaging for Clinician ScientistsT32EB001631 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI THOMAS M LINK · 2005 to 2026
$5.6M
Waxholm Space for Rodent NeuroinformaticsR01NS096720 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI GEE, JAMES C · 2016 to 2019
$2.4M
Agilent Direct Drive 9.4T MRS/MRI ConsoleS10OD010683 · OD · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2012
$597k
NIBIB NIH HHS P41 EB015897NIBIB NIH HHS T32 EB001631NIH HHS S10 OD010683NINDS NIH HHS R01 NS096720
6 · The paper itself

Abstract

Conventional atlases of the human brainstem are limited by the inflexible, sparsely-sampled, two-dimensional nature of histology, or the low spatial resolution of conventional magnetic resonance imaging (MRI). Postmortem high-resolution MRI circumvents the challenges associated with both modalities. A single human brainstem specimen extending from the rostral diencephalon through the caudal medulla was prepared for imaging after the brain was removed from a 65-year-old male within 24 h of death. The specimen was formalin-fixed for two weeks, then rehydrated and placed in a custom-made MRI compatible tube and immersed in liquid fluorocarbon. MRI was performed in a 7-Tesla scanner with 120 unique diffusion directions. Acquisition time for anatomic and diffusion images were 14 h and 208 h, respectively. Segmentation was performed manually. Deterministic fiber tractography was done using strategically chosen regions of interest and avoidance, with manual editing using expert knowledge of human neuroanatomy. Anatomic and diffusion images were rendered with isotropic resolutions of 50 μm and 200 μm, respectively. Ninety different structures were segmented and labeled, and 11 different fiber bundles were rendered with tractography. The complete atlas is available online for interactive use at https://www.civmvoxport.vm.duke.edu/voxbase/login.php?return_url=%2Fvoxbase%2F. This atlas presents multiple contrasting datasets and selected tract reconstruction with unprecedented resolution for MR imaging of the human brainstem. There are immediate applications in neuroanatomical education, with the potential to serve future applications for neuroanatomical research and enhanced neurosurgical planning through "safe" zones of entry into the human brainstem.

Indexed as

Atlases as TopicBrain StemDiffusion Tensor ImagingGray MatterWhite MatterAutopsyHumansAtlasBrainstemDiffusion tractographyHuman brainMagnetic resonance imaging

Identifiers

PMID33951517
PMCPMC8480283
OpenAlexW3157503804

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.