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Anatomic characterization of prelemniscal radiations by probabilistic tractography: implications in Parkinson’s disease

Overview of attention for article published in Brain Structure and Function, February 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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1 news outlet
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2 X users

Citations

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56 Mendeley
Title
Anatomic characterization of prelemniscal radiations by probabilistic tractography: implications in Parkinson’s disease
Published in
Brain Structure and Function, February 2016
DOI 10.1007/s00429-016-1201-5
Pubmed ID
Authors

María Guadalupe García-Gomar, Julian Soto-Abraham, Francisco Velasco-Campos, Luis Concha

Abstract

To characterize the anatomical connectivity of the prelemniscal radiations (Raprl), a white matter region within the posterior subthalamic area (PSA) that is an effective neurosurgical target for treating motor symptoms of Parkinson's disease (PD). Diffusion-weighted images were acquired from twelve healthy subjects using a 3T scanner. Constrained spherical deconvolution, a method that allows the distinction of crossing fibers within a voxel, was used to compute track-density images with sufficient resolution to accurately delineate distinct PSA regions and probabilistic tractography of Raprl in both hemispheres. Raprl connectivity was reproducible across all subjects and showed fibers traversing through this region towards primary and supplementary motor cortices, the orbitofrontal cortex, ventrolateral thalamus, and the globus pallidus, cerebellum and dorsal brainstem. All brain regions reached by Raprl fibers are part of motor circuits involved in the pathophysiology of PD; while these fiber systems converge at the level of the PSA, they can be spatially segregated. Fibers of distinct and specific motor control networks are identified within Raprl. The description of this anatomical crossroad suggests that, in the future, tractography could allow deep brain stimulation or lesional therapies in white matter targets according to individual patient's symptoms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 4%
Italy 1 2%
Turkey 1 2%
Mexico 1 2%
Japan 1 2%
Unknown 50 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 21%
Student > Master 8 14%
Student > Ph. D. Student 6 11%
Student > Bachelor 5 9%
Other 5 9%
Other 12 21%
Unknown 8 14%
Readers by discipline Count As %
Neuroscience 13 23%
Medicine and Dentistry 12 21%
Psychology 5 9%
Computer Science 4 7%
Engineering 2 4%
Other 2 4%
Unknown 18 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 24 June 2016.
All research outputs
#3,359,878
of 24,217,893 outputs
Outputs from Brain Structure and Function
#253
of 1,725 outputs
Outputs of similar age
#51,840
of 303,340 outputs
Outputs of similar age from Brain Structure and Function
#5
of 32 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,725 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 85% 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 303,340 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 82% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.