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Microstate connectivity alterations in patients with early Alzheimer’s disease

Overview of attention for article published in Alzheimer's Research & Therapy, 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 (91st percentile)
  • Average Attention Score compared to outputs of the same age and source

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2 news outlets
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3 X users

Citations

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44 Dimensions

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96 Mendeley
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Title
Microstate connectivity alterations in patients with early Alzheimer’s disease
Published in
Alzheimer's Research & Therapy, December 2015
DOI 10.1186/s13195-015-0163-9
Pubmed ID
Authors

Florian Hatz, Martin Hardmeier, Nina Benz, Michael Ehrensperger, Ute Gschwandtner, Stephan Rüegg, Christian Schindler, Andreas U. Monsch, Peter Fuhr

Abstract

Electroencephalography (EEG) microstates and brain network are altered in patients with Alzheimer's disease (AD) and discussed as potential biomarkers for AD. Microstates correspond to defined states of brain activity, and their connectivity patterns may change accordingly. Little is known about alteration of connectivity in microstates, especially in patients with amnestic mild cognitive impairment with stable or improving cognition within 30 months (aMCI). Thirty-five outpatients with aMCI or mild dementia (mean age 77 ± 7 years, 47 % male, Mini Mental State Examination score ≥24) had comprehensive neuropsychological and clinical examinations. Subjects with cognitive decline over 30 months were allocated to the AD group, subjects with stable or improving cognition to the MCI-stable group. Results of neuropsychological testing at baseline were summarized in six domain scores. Resting state EEG was recorded with 256 electrodes and analyzed using TAPEEG. Five microstates were defined and individual data fitted. After phase transformation, the phase lag index (PLI) was calculated for the five microstates in every subject. Networks were reduced to 22 nodes for statistical analysis. The domain score for verbal learning and memory and the microstate segmented PLI between the left centro-lateral and parieto-occipital regions in the theta band at baseline differentiated significantly between the groups. In the present sample, they separated in a logistic regression model with a 100 % positive predictive value, 60 % negative predictive value, 100 % specificity and 77 % sensitivity between AD and MCI-stable. Combining neuropsychological and quantitative EEG test results allows differentiation between subjects with aMCI remaining stable and subjects with aMCI deteriorating over 30 months.

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The data shown below were collected from the profiles of 3 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 95 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 17%
Student > Master 12 13%
Researcher 11 11%
Student > Doctoral Student 7 7%
Student > Bachelor 5 5%
Other 17 18%
Unknown 28 29%
Readers by discipline Count As %
Neuroscience 14 15%
Medicine and Dentistry 12 13%
Psychology 11 11%
Engineering 9 9%
Computer Science 4 4%
Other 11 11%
Unknown 35 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 January 2016.
All research outputs
#1,750,715
of 22,836,570 outputs
Outputs from Alzheimer's Research & Therapy
#315
of 1,225 outputs
Outputs of similar age
#32,446
of 393,300 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#9
of 17 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,225 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.0. 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 393,300 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 91% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.