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Occulomotor Neural Integrator Dysfunction in Multiple Sclerosis: Insights From Neuroimaging

Overview of attention for article published in Frontiers in Neurology, August 2018
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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8 X users

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Title
Occulomotor Neural Integrator Dysfunction in Multiple Sclerosis: Insights From Neuroimaging
Published in
Frontiers in Neurology, August 2018
DOI 10.3389/fneur.2018.00691
Pubmed ID
Authors

Peter Bede, Eoin Finegan, Rangariroyashe H. Chipika, Stacey Li Hi Shing, Jeffrey Lambe, James Meaney, Janice Redmond

Abstract

Background: Magnetic resonance imaging is a key diagnostic and monitoring tool in multiple Sclerosis (MS). While the substrates of motor and neuropsychological symptoms in MS have been extensively investigated, nystagmus-associated imaging signatures are relatively under studied. Accordingly, the objective of this study is the comprehensive characterisation of cortical, subcortical, and brainstem involvement in a cohort of MS patients with gaze-evoked nystagmus. Methods: Patients were recruited from a specialist MS clinic and underwent multimodal neuroimaging including high-resolution structural and diffusion tensor data acquisitions. Morphometric analyses were carried out to evaluate patterns of cortical, subcortical, brainstem, and cerebellar gray matter pathology. Volumetric analyses were also performed to further characterize subcortical gray matter degeneration. White matter integrity was evaluated using axial-, mean-, and radial diffusivity as well as fractional anisotropy. Results: Whole-brain morphometry highlighted considerable brainstem and cerebellar gray matter atrophy, and the tract-wise evaluation of white matter metrics revealed widespread pathology in frontotemporal and parietal regions. Nystagmus-associated gray matter degeneration was identified in medial cerebellar, posterior medullar, central pontine, and superior collicular regions. Volume reductions were identified in the putamen, thalamus and hippocampus. Conclusions: Multiple sclerosis is associated with widespread gray matter pathology which is not limited to cortical regions but involves striatal, thalamic, cerebellar, and hippocampal foci. The imaging signature of gaze-evoked nystagmus in MS confirms the degeneration of key structures of the neural integrator network.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Researcher 5 18%
Student > Bachelor 4 14%
Student > Postgraduate 2 7%
Student > Master 2 7%
Other 3 11%
Unknown 6 21%
Readers by discipline Count As %
Medicine and Dentistry 4 14%
Nursing and Health Professions 3 11%
Psychology 3 11%
Neuroscience 3 11%
Social Sciences 2 7%
Other 4 14%
Unknown 9 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 September 2018.
All research outputs
#6,445,270
of 24,187,394 outputs
Outputs from Frontiers in Neurology
#4,237
of 13,220 outputs
Outputs of similar age
#106,890
of 337,754 outputs
Outputs of similar age from Frontiers in Neurology
#74
of 288 outputs
Altmetric has tracked 24,187,394 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 13,220 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 67% 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 337,754 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 288 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 74% of its contemporaries.