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Disrupted effective connectivity of the sensorimotor network in amyotrophic lateral sclerosis

Overview of attention for article published in Journal of Neurology, January 2016
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 news outlet
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2 X users

Citations

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29 Dimensions

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50 Mendeley
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Title
Disrupted effective connectivity of the sensorimotor network in amyotrophic lateral sclerosis
Published in
Journal of Neurology, January 2016
DOI 10.1007/s00415-015-8013-z
Pubmed ID
Authors

Xiaojing Fang, Yuanchao Zhang, Yue Wang, Yuling Zhang, Jun Hu, Jian Wang, Jiuquan Zhang, Tianzi Jiang

Abstract

Although dysfunctional sensorimotor network (SMN) has been frequently involved in the pathogenesis of amyotrophic lateral sclerosis (ALS), the causal relationship within this network remains unexplored. In this study, spectral dynamic causal modeling was applied to resting-state functional magnetic resonance imaging data to estimate the causal relationship of SMN in a cohort of 20 ALS patients and 21 healthy controls. The SMN components were first extracted using an independent component analysis, and then compared between the two groups to identify the abnormalities in SMN. In ALS patients, we found significant regional activity alterations in the left primary motor cortex (M1), the left primary somatosensory cortex (S1), and the right supplementary motor cortex (SMA). Among these regions, spectral DCM revealed missing closed-loop circuit between the left M1 and the right SMA, and lost projection from the right SMA to the left S1 in ALS. These findings may reflect the influences of the loss of motor neurons on motor function in ALS, and provide compelling evidence for a breakdown of the sensorimotor neural circuits in ALS. In conclusion, this study elucidates a neurobiological model that may explain the functional impairments of the SMN in ALS, and provides much deeper insights into the pathophysiology of this disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 26%
Researcher 8 16%
Student > Bachelor 6 12%
Student > Master 5 10%
Student > Doctoral Student 3 6%
Other 8 16%
Unknown 7 14%
Readers by discipline Count As %
Neuroscience 14 28%
Psychology 8 16%
Medicine and Dentistry 7 14%
Agricultural and Biological Sciences 5 10%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 2 4%
Unknown 12 24%
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 15 January 2016.
All research outputs
#3,070,436
of 22,837,982 outputs
Outputs from Journal of Neurology
#674
of 4,478 outputs
Outputs of similar age
#55,458
of 393,726 outputs
Outputs of similar age from Journal of Neurology
#8
of 57 outputs
Altmetric has tracked 22,837,982 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 4,478 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 84% 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 393,726 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 85% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.