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

Overview of attention for article published in Frontiers in Human Neuroscience, November 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Title
Ultra-high field magnetic resonance imaging of the basal ganglia and related structures
Published in
Frontiers in Human Neuroscience, November 2014
DOI 10.3389/fnhum.2014.00876
Pubmed ID
Authors

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

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
United States 2 1%
Netherlands 1 <1%
France 1 <1%
Unknown 135 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 23%
Researcher 32 23%
Student > Master 13 9%
Student > Bachelor 9 6%
Student > Doctoral Student 8 6%
Other 24 17%
Unknown 23 16%
Readers by discipline Count As %
Neuroscience 31 22%
Medicine and Dentistry 28 20%
Engineering 14 10%
Psychology 11 8%
Physics and Astronomy 8 6%
Other 18 13%
Unknown 32 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2014.
All research outputs
#5,775,258
of 23,418,312 outputs
Outputs from Frontiers in Human Neuroscience
#2,320
of 7,286 outputs
Outputs of similar age
#62,459
of 264,373 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#89
of 231 outputs
Altmetric has tracked 23,418,312 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,286 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,373 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 231 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.