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Neuropsychiatric symptoms and α-Synuclein profile of patients with Parkinson’s disease dementia, dementia with Lewy bodies and Alzheimer’s disease

Overview of attention for article published in Journal of Neurology, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Citations

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66 Mendeley
Title
Neuropsychiatric symptoms and α-Synuclein profile of patients with Parkinson’s disease dementia, dementia with Lewy bodies and Alzheimer’s disease
Published in
Journal of Neurology, August 2018
DOI 10.1007/s00415-018-8992-7
Pubmed ID
Authors

Anastasia Bougea, Leonidas Stefanis, George P. Paraskevas, Evangelia Emmanouilidou, Efthimia Efthymiopoulou, Kostas Vekrelis, Elisabeth Kapaki

Abstract

Given the overlapping of neuropathological, neurochemical and neuropsychiatric profiles of Parkinson's disease dementia (PDD), dementia with Lewy bodies (DLB) and Alzheimer's disease (AD), their differential diagnosis is challenging. Specific neuropsychiatric features or biomarkers, such as cerebrospinal fluid (CSF) α-Synuclein (α-Syn), may aid in differential diagnosis. This study aims to compare the neuropsychiatric and CSF α-Syn profiles in these conditions, and to investigate the possible association between CSF α-Syn levels and neuropsychiatric symptoms. We conducted a prospective cross-sectional study, between January 2013 and January 2015, with 16 PDD, 28 DLB and 19 AD patients. All participants underwent a detailed clinical, neuropsychological, neuropsychiatric [Neuropsychiatric Inventory (NPI)] and CSF α-Syn analysis. Significantly greater NPI Hallucinations Subitem score was found in the PDD and DLB groups compared to AD (both p < 0.001). NPI Agitation score was greater in the DLB compared to PDD group (p = 0.012). NPI Sleep score was greater in the DLB compared to AD group (p = 0.001). Total NPI score was greater in the DLB compared to AD and PDD groups. To discriminate between the DLB and AD and between DLB and PDD groups, logistic regression analysis showed that both NPI scores and α-Syn levels were independently associated. There was no correlation between NPI scores and α-Syn levels. Increased NPI scores and α-Syn levels are associated with greater likelihood for being in DLB than in PDD or AD groups. ROC analysis showed that the combination of NPI and α-Syn increases the discriminative ability of each marker alone (p < 0.001) with AUC equal to 0.95 (95% CI 0.91-0.99). NPI scores and CSF α-Syn levels were useful as independent variables to differentiate DLB from PDD and AD.

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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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 21%
Student > Bachelor 9 14%
Student > Master 6 9%
Other 4 6%
Student > Ph. D. Student 4 6%
Other 12 18%
Unknown 17 26%
Readers by discipline Count As %
Neuroscience 13 20%
Psychology 12 18%
Medicine and Dentistry 11 17%
Biochemistry, Genetics and Molecular Biology 7 11%
Nursing and Health Professions 2 3%
Other 4 6%
Unknown 17 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 12 January 2022.
All research outputs
#3,261,194
of 25,711,194 outputs
Outputs from Journal of Neurology
#684
of 5,035 outputs
Outputs of similar age
#61,099
of 341,669 outputs
Outputs of similar age from Journal of Neurology
#10
of 69 outputs
Altmetric has tracked 25,711,194 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,035 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 86% 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 341,669 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 82% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.