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A Connectomic Analysis of the Human Basal Ganglia Network

Overview of attention for article published in Frontiers in Neuroanatomy, September 2017
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Title
A Connectomic Analysis of the Human Basal Ganglia Network
Published in
Frontiers in Neuroanatomy, September 2017
DOI 10.3389/fnana.2017.00085
Pubmed ID
Authors

Alberto Cacciola, Alessandro Calamuneri, Demetrio Milardi, Enricomaria Mormina, Gaetana Chillemi, Silvia Marino, Antonino Naro, Giuseppina Rizzo, Giuseppe Anastasi, Angelo Quartarone

Abstract

The current model of basal ganglia circuits has been introduced almost two decades ago and has settled the basis for our understanding of basal ganglia physiology and movement disorders. Although many questions are yet to be answered, several efforts have been recently made to shed new light on basal ganglia function. The traditional concept of "direct" and "indirect" pathways, obtained from axonal tracing studies in non-human primates and post-mortem fiber dissection in the human brain, still retains a remarkable appeal but is somehow obsolete. Therefore, a better comprehension of human structural basal ganglia connectivity in vivo, in humans, is of uttermost importance given the involvement of these deep brain structures in many motor and non-motor functions as well as in the pathophysiology of several movement disorders. By using diffusion magnetic resonance imaging and tractography, we have recently challenged the traditional model of basal ganglia network by showing the possible existence, in the human brain, of cortico-pallidal, cortico-nigral projections, which could be mono- or polysynaptic, and an extensive subcortical network connecting the cerebellum and basal ganglia. Herein, we aimed at reconstructing the basal ganglia connectome providing a quantitative connectivity analysis of the reconstructed pathways. The present findings reinforce the idea of an intricate, not yet unraveled, network involving the cerebral cortex, basal ganglia, and cerebellum. Our findings may pave the way for a more comprehensive and holistic pathophysiological model of basal ganglia circuits.

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X Demographics

The data shown below were collected from the profiles of 9 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 19%
Researcher 20 16%
Student > Master 16 13%
Student > Bachelor 11 9%
Student > Doctoral Student 8 7%
Other 20 16%
Unknown 24 20%
Readers by discipline Count As %
Neuroscience 41 34%
Agricultural and Biological Sciences 11 9%
Medicine and Dentistry 10 8%
Psychology 5 4%
Engineering 4 3%
Other 9 7%
Unknown 42 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 October 2017.
All research outputs
#6,523,121
of 24,319,828 outputs
Outputs from Frontiers in Neuroanatomy
#376
of 1,224 outputs
Outputs of similar age
#98,365
of 324,089 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#11
of 33 outputs
Altmetric has tracked 24,319,828 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,224 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. 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 324,089 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 33 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 69% of its contemporaries.