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Early-Stage White Matter Lesions Detected by Multispectral MRI Segmentation Predict Progressive Cognitive Decline

Overview of attention for article published in Frontiers in Neuroscience, December 2015
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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)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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1 news outlet
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Citations

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23 Dimensions

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Title
Early-Stage White Matter Lesions Detected by Multispectral MRI Segmentation Predict Progressive Cognitive Decline
Published in
Frontiers in Neuroscience, December 2015
DOI 10.3389/fnins.2015.00455
Pubmed ID
Authors

Hanna Jokinen, Nicolau Gonçalves, Ricardo Vigário, Jari Lipsanen, Franz Fazekas, Reinhold Schmidt, Frederik Barkhof, Sofia Madureira, Ana Verdelho, Domenico Inzitari, Leonardo Pantoni, Timo Erkinjuntti, the LADIS Study Group

Abstract

White matter lesions (WML) are the main brain imaging surrogate of cerebral small-vessel disease. A new MRI tissue segmentation method, based on a discriminative clustering approach without explicit model-based added prior, detects partial WML volumes, likely representing very early-stage changes in normal-appearing brain tissue. This study investigated how the different stages of WML, from a "pre-visible" stage to fully developed lesions, predict future cognitive decline. MRI scans of 78 subjects, aged 65-84 years, from the Leukoaraiosis and Disability (LADIS) study were analyzed using a self-supervised multispectral segmentation algorithm to identify tissue types and partial WML volumes. Each lesion voxel was classified as having a small (33%), intermediate (66%), or high (100%) proportion of lesion tissue. The subjects were evaluated with detailed clinical and neuropsychological assessments at baseline and at three annual follow-up visits. We found that voxels with small partial WML predicted lower executive function compound scores at baseline, and steeper decline of executive scores in follow-up, independently of the demographics and the conventionally estimated hyperintensity volume on fluid-attenuated inversion recovery images. The intermediate and fully developed lesions were related to impairments in multiple cognitive domains including executive functions, processing speed, memory, and global cognitive function. In conclusion, early-stage partial WML, still too faint to be clearly detectable on conventional MRI, already predict executive dysfunction and progressive cognitive decline regardless of the conventionally evaluated WML load. These findings advance early recognition of small vessel disease and incipient vascular cognitive impairment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
United Kingdom 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Student > Master 11 19%
Researcher 7 12%
Professor 4 7%
Student > Doctoral Student 2 4%
Other 9 16%
Unknown 11 19%
Readers by discipline Count As %
Medicine and Dentistry 12 21%
Psychology 9 16%
Neuroscience 9 16%
Engineering 5 9%
Computer Science 2 4%
Other 5 9%
Unknown 15 26%
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 26 December 2015.
All research outputs
#3,561,561
of 25,374,647 outputs
Outputs from Frontiers in Neuroscience
#2,874
of 11,542 outputs
Outputs of similar age
#56,372
of 395,291 outputs
Outputs of similar age from Frontiers in Neuroscience
#26
of 136 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 73% 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 395,291 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 136 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.