Evidence map›Paper›PMID 25965401›Full record

ArticlePloS one2015

In Vivo 7T MRI of the Non-Human Primate Brainstem.

Laura M Zitella, YiZi Xiao, Benjamin A Teplitzky, Daniel J Kastl, Yuval Duchin, Kenneth B Baker, Jerrold L Vitek, Gregor Adriany, Essa Yacoub, Noam Harel and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

11 authors at 2 institutions in 1 country.

Laura M ZitellaDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, United States of America.
YiZi XiaoDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, United States of America.
Benjamin A TeplitzkyDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, United States of America.
Daniel J KastlDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, United States of America.
Yuval DuchinCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, United States of America.
Kenneth B BakerDepartment of Neurology, University of Minnesota, Minneapolis, Minnesota, United States of America.
Jerrold L VitekDepartment of Neurology, University of Minnesota, Minneapolis, Minnesota, United States of America.
Gregor AdrianyCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, United States of America.
Essa YacoubCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, United States of America.
Noam HarelCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, United States of America.
Matthew D JohnsonDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, United States of America; Institute for Translational Neuroscience, University of Minnesota, Minneapolis, Minnesota, United States of America.
University of Minnesota · USResonance Research (United States) · US

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
NMR Imaging and SpectroscopyP41EB015894 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2017
$8.4M
Algorithms for programming deep brain stimulation systemsR01NS081118 · NINDS · UNIVERSITY OF MINNESOTA · PI HAREL, NOAM, JOHNSON, MATTHEW DOUGLAS · 2012 to 2023
$4.0M
Pathway targeted deep brain stimulation for Parkinson's diseaseR01NS085188 · NINDS · UNIVERSITY OF MINNESOTA · PI HAREL, NOAM, MCINTYRE, CAMERON · 2013 to 2017
$3.4M
NIBIB NIH HHS P41 EB015894NIBIB NIH HHS P41-EB015894NIMH NIH HHS U54 MH091657NIMH NIH HHS U54-MH091657NINDS NIH HHS R01 NS081118NINDS NIH HHS R01-NS081118NINDS NIH HHS R01 NS085188NINDS NIH HHS R01-NS085188
6 · The paper itself

Abstract

Structural brain imaging provides a critical framework for performing stereotactic and intraoperative MRI-guided surgical procedures, with procedural efficacy often dependent upon visualization of the target with which to operate. Here, we describe tools for in vivo, subject-specific visualization and demarcation of regions within the brainstem. High-field 7T susceptibility-weighted imaging and diffusion-weighted imaging of the brain were collected using a customized head coil from eight rhesus macaques. Fiber tracts including the superior cerebellar peduncle, medial lemniscus, and lateral lemniscus were identified using high-resolution probabilistic diffusion tractography, which resulted in three-dimensional fiber tract reconstructions that were comparable to those extracted from sequential application of a two-dimensional nonlinear brain atlas warping algorithm. In the susceptibility-weighted imaging, white matter tracts within the brainstem were also identified as hypointense regions, and the degree of hypointensity was age-dependent. This combination of imaging modalities also enabled identifying the location and extent of several brainstem nuclei, including the periaqueductal gray, pedunculopontine nucleus, and inferior colliculus. These clinically-relevant high-field imaging approaches have potential to enable more accurate and comprehensive subject-specific visualization of the brainstem and to ultimately improve patient-specific neurosurgical targeting procedures, including deep brain stimulation lead implantation.

Indexed as

AlgorithmsAnimalsBrainDiffusion Magnetic Resonance ImagingFemaleImage Interpretation, Computer-AssistedImaging, Three-DimensionalMacaca mulattaMaleModels, Anatomic

Identifiers

PMID25965401
PMCPMC4428864
OpenAlexW1489218140

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.