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Working Memory-Related Effective Connectivity in Huntington’s Disease Patients

Overview of attention for article published in Frontiers in Neurology, June 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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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56 Mendeley
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Title
Working Memory-Related Effective Connectivity in Huntington’s Disease Patients
Published in
Frontiers in Neurology, June 2018
DOI 10.3389/fneur.2018.00370
Pubmed ID
Authors

Jacob Lahr, Lora Minkova, Sarah J. Tabrizi, Julie C. Stout, Stefan Klöppel, Elisa Scheller, the TrackOn-HD Investigators, A. Coleman, J. Decolongon, M. Fan, T. Koren, C. Jauffret, D. Justo, S. Lehericy, K. Nigaud, R. Valabrègue, A. Schoonderbeek, E. P. ‘t Hart, H. Crawford, S. Gregory, D. Hensman Moss, E. Johnson, J. Read, G. Owen, M. Papoutsi, C. Berna, A. Razi, G. Rees, R. I. Scahill, D. Craufurd, R. Reilmann, N. Weber, J. Stout, I. Labuschagne, M. Orth, G. B. Landwehrmeyer, D. Langbehn, H. Johnson, J. Long, J. Mills

Abstract

Huntington's disease (HD) is a genetically caused neurodegenerative disorder characterized by heterogeneous motor, psychiatric, and cognitive symptoms. Although motor symptoms may be the most prominent presentation, cognitive symptoms such as memory deficits and executive dysfunction typically co-occur. We used functional magnetic resonance imaging (fMRI) and task fMRI-based dynamic causal modeling (DCM) to evaluate HD-related changes in the neural network underlying working memory (WM). Sixty-four pre-symptomatic HD mutation carriers (preHD), 20 patients with early manifest HD symptoms (earlyHD), and 83 healthy control subjects performed an n-back fMRI task with two levels of WM load. Effective connectivity was assessed in five predefined regions of interest, comprising bilateral inferior parietal cortex, left anterior cingulate cortex, and bilateral dorsolateral prefrontal cortex. HD mutation carriers performed less accurately and more slowly at high WM load compared with the control group. While between-group comparisons of brain activation did not reveal differential recruitment of the cortical WM network in mutation carriers, comparisons of brain connectivity as identified with DCM revealed a number of group differences across the whole WM network. Most strikingly, we observed decreasing connectivity from several regions toward right dorsolateral prefrontal cortex (rDLPFC) in preHD and even more so in earlyHD. The deterioration in rDLPFC connectivity complements results from previous studies and might mirror beginning cortical neural decline at premanifest and early manifest stages of HD. We were able to characterize effective connectivity in a WM network of HD mutation carriers yielding further insight into patterns of cognitive decline and accompanying neural deterioration.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Ph. D. Student 9 16%
Student > Doctoral Student 5 9%
Other 5 9%
Student > Bachelor 4 7%
Other 8 14%
Unknown 15 27%
Readers by discipline Count As %
Neuroscience 13 23%
Psychology 7 13%
Medicine and Dentistry 5 9%
Engineering 3 5%
Nursing and Health Professions 1 2%
Other 4 7%
Unknown 23 41%
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 13 July 2018.
All research outputs
#3,252,214
of 23,327,904 outputs
Outputs from Frontiers in Neurology
#2,443
of 12,244 outputs
Outputs of similar age
#66,456
of 330,599 outputs
Outputs of similar age from Frontiers in Neurology
#44
of 311 outputs
Altmetric has tracked 23,327,904 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,244 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 done well, scoring higher than 77% 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 330,599 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 311 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.