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Basal ganglia, thalamus and neocortical atrophy predicting slowed cognitive processing in multiple sclerosis

Overview of attention for article published in Journal of Neurology, July 2011
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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10 news outlets
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1 Facebook page

Citations

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269 Dimensions

Readers on

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271 Mendeley
Title
Basal ganglia, thalamus and neocortical atrophy predicting slowed cognitive processing in multiple sclerosis
Published in
Journal of Neurology, July 2011
DOI 10.1007/s00415-011-6147-1
Pubmed ID
Authors

Sonia Batista, Robert Zivadinov, Marietta Hoogs, Niels Bergsland, Mari Heininen-Brown, Michael G. Dwyer, Bianca Weinstock-Guttman, Ralph H. B. Benedict

Abstract

Information-processing speed (IPS) slowing is a primary cognitive deficit in multiple sclerosis (MS). Basal ganglia, thalamus and neocortex are thought to have a key role for efficient information-processing, yet the specific relative contribution of these structures for MS-related IPS impairment is poorly understood. To determine if basal ganglia and thalamus atrophy independently contribute to visual and auditory IPS impairment in MS, after controlling for the influence of neocortical volume, we enrolled 86 consecutive MS patients and 25 normal controls undergoing 3T brain MRI and neuropsychological testing. Using Sienax and FIRST software, neocortical and deep gray matter (DGM) volumes were calculated. Neuropsychological testing contributed measures of auditory and visual IPS using the Paced Auditory Serial Addition Test (PASAT) and the Symbol Digit Modalities Test (SDMT), respectively. MS patients exhibited significantly slower IPS relative to controls and showed reduction in neocortex, caudate, putamen, globus pallidus, thalamus and nucleus accumbens volume. SDMT and PASAT were significantly correlated with all DGM regions. These effects were mitigated by controlling for the effects of neocortical volume, but all DGM volumes remained significantly correlated with SDMT, putamen (r = 0.409, p < 0.001) and thalamus (r = 0.362, p < 0.001) having the strongest effects, whereas for PASAT, the correlation was significant for putamen (r = 0.313, p < 0.01) but not for thalamus. We confirm the significant role of thalamus atrophy in MS-related IPS slowing and find that putamen atrophy is also a significant contributor to this disorder. These DGM structures have independent, significant roles, after controlling for the influence of neocortex atrophy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 <1%
Netherlands 2 <1%
Spain 2 <1%
Colombia 1 <1%
New Zealand 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 260 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 23%
Researcher 36 13%
Student > Master 34 13%
Student > Doctoral Student 21 8%
Student > Postgraduate 15 6%
Other 50 18%
Unknown 53 20%
Readers by discipline Count As %
Medicine and Dentistry 65 24%
Neuroscience 49 18%
Psychology 46 17%
Agricultural and Biological Sciences 17 6%
Engineering 8 3%
Other 21 8%
Unknown 65 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 64. 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 11 October 2023.
All research outputs
#637,233
of 24,594,795 outputs
Outputs from Journal of Neurology
#66
of 4,829 outputs
Outputs of similar age
#2,261
of 119,806 outputs
Outputs of similar age from Journal of Neurology
#1
of 45 outputs
Altmetric has tracked 24,594,795 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,829 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 98% 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 119,806 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.