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Sensory Processing in the Dorsolateral Striatum: The Contribution of Thalamostriatal Pathways

Overview of attention for article published in Frontiers in Systems Neuroscience, July 2017
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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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Title
Sensory Processing in the Dorsolateral Striatum: The Contribution of Thalamostriatal Pathways
Published in
Frontiers in Systems Neuroscience, July 2017
DOI 10.3389/fnsys.2017.00053
Pubmed ID
Authors

Kevin D. Alloway, Jared B. Smith, Todd M. Mowery, Glenn D. R. Watson

Abstract

The dorsal striatum has two functionally-defined subdivisions: a dorsomedial striatum (DMS) region involved in mediating goal-directed behaviors that require conscious effort, and a dorsolateral striatum (DLS) region involved in the execution of habitual behaviors in a familiar sensory context. Consistent with its presumed role in forming stimulus-response (S-R) associations, neurons in DLS receive massive inputs from sensorimotor cortex and are responsive to both active and passive sensory stimulation. While several studies have established that corticostriatal inputs contribute to the stimulus-induced responses observed in the DLS, there is growing awareness that the thalamus has a significant role in conveying sensory-related information to DLS and other parts of the striatum. The thalamostriatal projections to DLS originate mainly from the caudal intralaminar region, which contains the parafascicular (Pf) nucleus, and from higher-order thalamic nuclei such as the medial part of the posterior (POm) nucleus. Based on recent findings, we hypothesize that the thalamostriatal projections from these two regions exert opposing influences on the expression of behavioral habits. This article reviews the subcortical circuits that regulate the transmission of sensory information through these thalamostriatal projection systems, and describes the evidence that indicates these circuits could be manipulated to ameliorate the symptoms of Parkinson's disease (PD) and related neurological disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 163 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 19%
Researcher 31 19%
Student > Bachelor 20 12%
Student > Master 18 11%
Student > Doctoral Student 7 4%
Other 17 10%
Unknown 39 24%
Readers by discipline Count As %
Neuroscience 63 39%
Agricultural and Biological Sciences 18 11%
Psychology 8 5%
Medicine and Dentistry 7 4%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 18 11%
Unknown 44 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 04 March 2020.
All research outputs
#3,613,973
of 22,986,950 outputs
Outputs from Frontiers in Systems Neuroscience
#341
of 1,345 outputs
Outputs of similar age
#64,733
of 316,996 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#3
of 23 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 74% 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 316,996 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 79% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.