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Cognitive processes involved in smooth pursuit eye movements: behavioral evidence, neural substrate and clinical correlation

Overview of attention for article published in Frontiers in Systems Neuroscience, January 2013
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Title
Cognitive processes involved in smooth pursuit eye movements: behavioral evidence, neural substrate and clinical correlation
Published in
Frontiers in Systems Neuroscience, January 2013
DOI 10.3389/fnsys.2013.00004
Pubmed ID
Authors

Kikuro Fukushima, Junko Fukushima, Tateo Warabi, Graham R. Barnes

Abstract

Smooth-pursuit eye movements allow primates to track moving objects. Efficient pursuit requires appropriate target selection and predictive compensation for inherent processing delays. Prediction depends on expectation of future object motion, storage of motion information and use of extra-retinal mechanisms in addition to visual feedback. We present behavioral evidence of how cognitive processes are involved in predictive pursuit in normal humans and then describe neuronal responses in monkeys and behavioral responses in patients using a new technique to test these cognitive controls. The new technique examines the neural substrate of working memory and movement preparation for predictive pursuit by using a memory-based task in macaque monkeys trained to pursue (go) or not pursue (no-go) according to a go/no-go cue, in a direction based on memory of a previously presented visual motion display. Single-unit task-related neuronal activity was examined in medial superior temporal cortex (MST), supplementary eye fields (SEF), caudal frontal eye fields (FEF), cerebellar dorsal vermis lobules VI-VII, caudal fastigial nuclei (cFN), and floccular region. Neuronal activity reflecting working memory of visual motion direction and go/no-go selection was found predominantly in SEF, cerebellar dorsal vermis and cFN, whereas movement preparation related signals were found predominantly in caudal FEF and the same cerebellar areas. Chemical inactivation produced effects consistent with differences in signals represented in each area. When applied to patients with Parkinson's disease (PD), the task revealed deficits in movement preparation but not working memory. In contrast, patients with frontal cortical or cerebellar dysfunction had high error rates, suggesting impaired working memory. We show how neuronal activity may be explained by models of retinal and extra-retinal interaction in target selection and predictive control and thus aid understanding of underlying pathophysiology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 3%
United States 3 2%
United Kingdom 2 1%
Belgium 2 1%
Russia 1 <1%
Finland 1 <1%
Unknown 155 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 20%
Researcher 27 16%
Student > Master 19 11%
Student > Bachelor 18 11%
Student > Doctoral Student 11 7%
Other 32 19%
Unknown 29 17%
Readers by discipline Count As %
Neuroscience 32 19%
Psychology 27 16%
Medicine and Dentistry 24 14%
Engineering 17 10%
Agricultural and Biological Sciences 14 8%
Other 24 14%
Unknown 31 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 March 2022.
All research outputs
#13,039,902
of 23,330,477 outputs
Outputs from Frontiers in Systems Neuroscience
#651
of 1,351 outputs
Outputs of similar age
#154,031
of 283,854 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#40
of 95 outputs
Altmetric has tracked 23,330,477 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 50% 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 283,854 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 95 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 57% of its contemporaries.