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Motor thalamus integration of cortical, cerebellar and basal ganglia information: implications for normal and parkinsonian conditions

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2013
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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12 X users
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2 Wikipedia pages

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227 Dimensions

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444 Mendeley
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Title
Motor thalamus integration of cortical, cerebellar and basal ganglia information: implications for normal and parkinsonian conditions
Published in
Frontiers in Computational Neuroscience, January 2013
DOI 10.3389/fncom.2013.00163
Pubmed ID
Authors

Clémentine Bosch-Bouju, Brian I. Hyland, Louise C. Parr-Brownlie

Abstract

Motor thalamus (Mthal) is implicated in the control of movement because it is strategically located between motor areas of the cerebral cortex and motor-related subcortical structures, such as the cerebellum and basal ganglia (BG). The role of BG and cerebellum in motor control has been extensively studied but how Mthal processes inputs from these two networks is unclear. Specifically, there is considerable debate about the role of BG inputs on Mthal activity. This review summarizes anatomical and physiological knowledge of the Mthal and its afferents and reviews current theories of Mthal function by discussing the impact of cortical, BG and cerebellar inputs on Mthal activity. One view is that Mthal activity in BG and cerebellar-receiving territories is primarily "driven" by glutamatergic inputs from the cortex or cerebellum, respectively, whereas BG inputs are modulatory and do not strongly determine Mthal activity. This theory is steeped in the assumption that the Mthal processes information in the same way as sensory thalamus, through interactions of modulatory inputs with a single driver input. Another view, from BG models, is that BG exert primary control on the BG-receiving Mthal so it effectively relays information from BG to cortex. We propose a new "super-integrator" theory where each Mthal territory processes multiple driver or driver-like inputs (cortex and BG, cortex and cerebellum), which are the result of considerable integrative processing. Thus, BG and cerebellar Mthal territories assimilate motivational and proprioceptive motor information previously integrated in cortico-BG and cortico-cerebellar networks, respectively, to develop sophisticated motor signals that are transmitted in parallel pathways to cortical areas for optimal generation of motor programmes. Finally, we briefly review the pathophysiological changes that occur in the BG in parkinsonism and generate testable hypotheses about how these may affect processing of inputs in the Mthal.

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X Demographics

The data shown below were collected from the profiles of 12 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 444 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
United Kingdom 3 <1%
Chile 2 <1%
Germany 2 <1%
Netherlands 1 <1%
Norway 1 <1%
Sweden 1 <1%
India 1 <1%
Portugal 1 <1%
Other 4 <1%
Unknown 422 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 106 24%
Researcher 78 18%
Student > Master 52 12%
Student > Bachelor 36 8%
Student > Doctoral Student 26 6%
Other 65 15%
Unknown 81 18%
Readers by discipline Count As %
Neuroscience 140 32%
Agricultural and Biological Sciences 66 15%
Medicine and Dentistry 49 11%
Engineering 23 5%
Psychology 15 3%
Other 54 12%
Unknown 97 22%
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 17 January 2024.
All research outputs
#3,549,388
of 25,383,225 outputs
Outputs from Frontiers in Computational Neuroscience
#157
of 1,456 outputs
Outputs of similar age
#34,899
of 291,089 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#16
of 135 outputs
Altmetric has tracked 25,383,225 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 88% 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 291,089 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 88% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.