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A review of electroencephalographic changes in diabetes mellitus in relation to major depressive disorder

Overview of attention for article published in Neuropsychiatric Disease and Treatment, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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3 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

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19 Dimensions

Readers on

mendeley
70 Mendeley
Title
A review of electroencephalographic changes in diabetes mellitus in relation to major depressive disorder
Published in
Neuropsychiatric Disease and Treatment, January 2013
DOI 10.2147/ndt.s38720
Pubmed ID
Authors

Anusha Baskaran, Roumen Milev, Roger S McIntyre

Abstract

A bidirectional relationship exists between diabetes mellitus (DM) and major depressive disorder (MDD), with depression commonly reported in both type 1 DM (T1DM) and type 2 DM (T2DM), and depressive symptoms associated with a higher incidence of diabetes. However, how the two conditions are pathologically connected is not completely understood. Similar neurophysiological abnormalities have been reported in both DM and MDD, including elevated electroencephalographic (EEG) activity in low-frequency slow waves and increased latency and/or reduced amplitude of event-related potentials. It is possible that this association reflects some common underlying pathology, and it has been proposed that diabetes may place patients at risk for depression through a biological mechanism linking the metabolic changes of DM to changes in the central nervous system. In this review we will discuss EEG abnormalities in DM, as well as the biological mechanisms underlying various EEG parameters, in order to evaluate whether or not a common EEG biosignature exists between DM and MDD. Identifying such commonalities could significantly inform the current understanding of the mechanisms that subserve the development of the two conditions. Moreover, this new insight may provide the basis for informing new drug discovery capable of mitigating and possibly even preventing both conditions.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Student > Ph. D. Student 11 16%
Student > Bachelor 11 16%
Researcher 10 14%
Other 4 6%
Other 11 16%
Unknown 11 16%
Readers by discipline Count As %
Psychology 12 17%
Medicine and Dentistry 11 16%
Engineering 7 10%
Neuroscience 6 9%
Biochemistry, Genetics and Molecular Biology 5 7%
Other 12 17%
Unknown 17 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 May 2020.
All research outputs
#6,495,301
of 25,371,288 outputs
Outputs from Neuropsychiatric Disease and Treatment
#827
of 3,132 outputs
Outputs of similar age
#63,353
of 288,986 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#9
of 40 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 288,986 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 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.