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Novel Functional MRI Task for Studying the Neural Correlates of Upper Limb Tremor

Overview of attention for article published in Frontiers in Neurology, July 2018
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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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Title
Novel Functional MRI Task for Studying the Neural Correlates of Upper Limb Tremor
Published in
Frontiers in Neurology, July 2018
DOI 10.3389/fneur.2018.00513
Pubmed ID
Authors

Frederique M. C. Boonstra, Thushara Perera, Gustavo Noffs, Cassandra Marotta, Adam P. Vogel, Andrew H. Evans, Helmut Butzkueven, Bradford A. Moffat, Anneke van der Walt, Scott C. Kolbe

Abstract

Introduction: Tremor of the upper limbs is a disabling symptom that is present during several neurological disorders and is currently without treatment. Functional MRI (fMRI) is an essential tool to investigate the pathophysiology of tremor and aid the development of treatment options. However, no adequately or standardized protocols for fMRI exists at present. Here we present a novel, online available fMRI task that could be used to assess the in vivo pathology of tremor. Objective: This study aims to validate the tremor-evoking potential of the fMRI task in a small group of tremor patients outside the scanner and assess the reproducibility of the fMRI task related activation in healthy controls. Methods: Twelve HCs were scanned at two time points (baseline and after 6-weeks). There were two runs of multi-band fMRI and the tasks included a "brick-breaker" joystick game. The game consisted of three conditions designed to control for most of the activation related to performing the task by contrasting the conditions: WATCH (look at the game without moving joystick), MOVE (rhythmic left/right movement of joystick without game), and PLAY (playing the game). Task fMRI was analyzed using FSL FEAT to determine clusters of activation during the different conditions. Maximum activation within the clusters was used to assess the ability to control for task related activation and reproducibility. Four tremor patients have been included to test ecological and construct validity of the joystick task by assessing tremor frequencies captured by the joystick. Results: In HCs the game activated areas corresponding to motor, attention and visual areas. Most areas of activation by our game showed moderate to good reproducibility (intraclass correlation coefficient (ICC) 0.531-0.906) with only inferior parietal lobe activation showing poor reproducibility (ICC 0.446). Furthermore, the joystick captured significantly more tremulous movement in tremor patients compared to HCs (p = 0.01) during PLAY, but not during MOVE. Conclusion: Validation of our novel task confirmed tremor-evoking potential and reproducibility analyses yielded acceptable results to continue further investigations into the pathophysiology of tremor. The use of this technique in studies with tremor patient will no doubt provide significant insights into the treatment options.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 11%
Student > Bachelor 4 11%
Other 2 6%
Student > Master 2 6%
Student > Ph. D. Student 2 6%
Other 4 11%
Unknown 18 50%
Readers by discipline Count As %
Medicine and Dentistry 6 17%
Neuroscience 5 14%
Biochemistry, Genetics and Molecular Biology 1 3%
Sports and Recreations 1 3%
Computer Science 1 3%
Other 2 6%
Unknown 20 56%
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 18 July 2018.
All research outputs
#3,885,699
of 23,340,595 outputs
Outputs from Frontiers in Neurology
#3,360
of 12,258 outputs
Outputs of similar age
#74,961
of 328,649 outputs
Outputs of similar age from Frontiers in Neurology
#54
of 309 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,258 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 72% 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 328,649 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 77% of its contemporaries.
We're also able to compare this research output to 309 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.