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Diffusion tensor studies and voxel-based morphometry of the temporal lobe to determine the cognitive prognosis in cases of Alzheimer’s disease and mild cognitive impairment: Do white matter changes…

Overview of attention for article published in SpringerPlus, July 2016
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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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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1 news outlet

Citations

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5 Dimensions

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22 Mendeley
Title
Diffusion tensor studies and voxel-based morphometry of the temporal lobe to determine the cognitive prognosis in cases of Alzheimer’s disease and mild cognitive impairment: Do white matter changes precede gray matter changes?
Published in
SpringerPlus, July 2016
DOI 10.1186/s40064-016-2692-5
Pubmed ID
Authors

Toshiaki Taoka, Fumihiko Yasuno, Masayuki Morikawa, Makoto Inoue, Kuniaki Kiuchi, Soichiro Kitamura, Kiwamu Matsuoka, Toshifumi Kishimoto, Kimihiko Kichikawa, Shinji Naganawa

Abstract

The purpose of the current study was to assess the feasibility of diffusion tensor imaging (DTI) parameters for determining the prognosis of Alzheimer's disease (AD). We also analyzed the correlation among DTI, voxel-based morphometry (VBM), and results of the mini-mental state examination (MMSE). The subjects of this prospective study were patients with AD and mild cognitive impairment. We performed annual follow-ups with DTI, VBM, and MMSE for 2 or 3 years. On DTI, the apparent diffusion coefficient (ADC) and fractional anisotropy (FA) of the uncinate fascicles were measured. VBM was performed to provide a z-score for the parahippocampal gyrus. The correlations among these factors were evaluated in the same period and the next period of the follow-up study. For evaluation of the same period, both DTI parameters and z-scores showed statistically significant correlations with the MMSE score. Also for evaluation of the next period, both DTI parameters and z-scores showed statistically significant correlations with the MMSE score of the next period. We observed a statistically significant correlation between the ADC value of the uncinate fascicles and the z-score of the next period. Diffusion tensor parameters (ADC and FA) of the uncinate fascicles correlated well with cognitive function in the next year and seemed to be feasible for use as biomarkers for predicting the progression of AD. In addition, the white matter changes observed in the ADC seemed to precede changes in the gray matter volume of the parahippocampal gyrus that were represented by z-scores of VBM.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Researcher 4 18%
Professor > Associate Professor 2 9%
Student > Master 2 9%
Lecturer > Senior Lecturer 1 5%
Other 2 9%
Unknown 7 32%
Readers by discipline Count As %
Medicine and Dentistry 4 18%
Psychology 4 18%
Engineering 2 9%
Neuroscience 2 9%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 1 5%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 30 July 2016.
All research outputs
#4,191,741
of 22,881,964 outputs
Outputs from SpringerPlus
#256
of 1,851 outputs
Outputs of similar age
#74,632
of 354,862 outputs
Outputs of similar age from SpringerPlus
#35
of 221 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,851 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 354,862 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 77% of its contemporaries.
We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.