Evidence map›Paper›PMID 25414656›Full record

ArticleFrontiers in human neuroscience2014

Ultra-high field magnetic resonance imaging of the basal ganglia and related structures.

Birgit R Plantinga, Yasin Temel, Alard Roebroeck, Kâmil Uludağ, Dimo Ivanov, Mark L Kuijf, Bart M Ter Haar Romenij

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. A systematic review on the quantitative relationship between structural and functional network connectivity strength in mammalian brains.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Pooled it
  2. Structure-function coupling in the human brainstem.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Frontiers in neuroanatomy · 2022
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

7 authors at 3 institutions in 2 countries.

Birgit R PlantingaBiomedical Image Analysis, Eindhoven University of Technology Eindhoven, Netherlands ; Department of Neuroscience, Maastricht University Maastricht, Netherlands.
Yasin TemelDepartment of Neuroscience, Maastricht University Maastricht, Netherlands ; Department of Neurology, Maastricht University Medical Center Maastricht, Netherlands.
Alard RoebroeckDepartment of Neurosurgery, Maastricht University Medical Center Maastricht, Netherlands.
Kâmil UludağDepartment of Neurosurgery, Maastricht University Medical Center Maastricht, Netherlands.
Dimo IvanovDepartment of Neurosurgery, Maastricht University Medical Center Maastricht, Netherlands.
Mark L KuijfDepartment of Cognitive Neuroscience, Maastricht University Maastricht, Netherlands.
Bart M Ter Haar RomenijBiomedical Image Analysis, Eindhoven University of Technology Eindhoven, Netherlands ; Department of Biomedical and Information Engineering, Northeastern University Shenyang, China.
Maastricht University · NLEindhoven University of Technology · NLNortheastern University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep brain stimulation is a treatment for Parkinson's disease and other related disorders, involving the surgical placement of electrodes in the deeply situated basal ganglia or thalamic structures. Good clinical outcome requires accurate targeting. However, due to limited visibility of the target structures on routine clinical MR images, direct targeting of structures can be challenging. Non-clinical MR scanners with ultra-high magnetic field (7T or higher) have the potential to improve the quality of these images. This technology report provides an overview of the current possibilities of visualizing deep brain stimulation targets and their related structures with the aid of ultra-high field MRI. Reviewed studies showed improved resolution, contrast- and signal-to-noise ratios at ultra-high field. Sequences sensitive to magnetic susceptibility such as T2(*) and susceptibility weighted imaging and their maps in general showed the best visualization of target structures, including a separation between the subthalamic nucleus and the substantia nigra, the lamina pallidi medialis and lamina pallidi incompleta within the globus pallidus and substructures of the thalamus, including the ventral intermediate nucleus (Vim). This shows that the visibility, identification, and even subdivision of the small deep brain stimulation targets benefit from increased field strength. Although ultra-high field MR imaging is associated with increased risk of geometrical distortions, it has been shown that these distortions can be avoided or corrected to the extent where the effects are limited. The availability of ultra-high field MR scanners for humans seems to provide opportunities for a more accurate targeting for deep brain stimulation in patients with Parkinson's disease and related disorders.

Indexed as

basal gangliadeep brain stimulationmagnetic resonance imagingthalamusultra-high field

Identifiers

PMID25414656
PMCPMC4220687
OpenAlexW2107419024

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.