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Connectivity‐based segmentation of the periaqueductal gray matter in human with brainstem optimized diffusion MRI

Overview of attention for article published in Human Brain Mapping, July 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 blog
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8 X users

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110 Mendeley
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Article details
Title
Connectivity‐based segmentation of the periaqueductal gray matter in human with brainstem optimized diffusion MRI
Published in
Human Brain Mapping, July 2015
DOI 10.1002/hbm.22855
Pubmed ID
Authors

Martyn Ezra, Olivia Kate Faull, Saad Jbabdi, Kyle Thomas Pattinson

Abstract

The periaqueductal gray matter (PAG) is a midbrain structure, involved in key homeostatic neurobiological functions, such as pain modulation and cardiorespiratory control. Animal research has identified four subdivisional columns that differ in both connectivity and function. Until now these findings have not been replicated in humans. This study used high-resolution brainstem optimized diffusion magnetic resonance imaging and probabilistic tractography to segment the human PAG into four subdivisions, based on voxel connectivity profiles. We identified four distinct subdivisions demonstrating high spatial concordance with the columns of the animal model. The resolution of these subdivisions for individual subjects permitted detailed examination of their structural connectivity without the requirement of an a priori starting location. Interestingly patterns of forebrain connectivity appear to be different to those found in nonhuman studies, whereas midbrain and hindbrain connectivity appears to be maintained. Although there are similarities in the columnar structure of the PAG subdivisions between humans and nonhuman animals, there appears to be different patterns of cortical connectivity. This suggests that the functional organization of the PAG may be different between species, and as a consequence, functional studies in nonhumans may not be directly translatable to humans. This highlights the need for focused functional studies in humans. Hum Brain Mapp, 2015. © 2015 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 2%
Netherlands 1 <1%
United Kingdom 1 <1%
France 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 103 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Researcher 22 20%
Student > Bachelor 11 10%
Student > Master 11 10%
Student > Postgraduate 7 6%
Other 21 19%
Unknown 15 14%
Readers by discipline
Readers by discipline Count As %
Neuroscience 26 24%
Psychology 17 15%
Agricultural and Biological Sciences 16 15%
Medicine and Dentistry 15 14%
Computer Science 3 3%
Other 9 8%
Unknown 24 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 16 November 2022.
All research outputs
#3,103,964
of 28,832,041 outputs
Outputs from Human Brain Mapping
#708
of 4,636 outputs
Outputs of similar age
#34,810
of 281,777 outputs
Outputs of similar age from Human Brain Mapping
#16
of 93 outputs
Altmetric has tracked 28,832,041 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,636 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 84% 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 281,777 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 87% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.