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Pupillary response abnormalities in depressive disorders

Overview of attention for article published in Psychiatry Research, October 2016
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Article details
Title
Pupillary response abnormalities in depressive disorders
Published in
Psychiatry Research, October 2016
DOI 10.1016/j.psychres.2016.10.039
Pubmed ID
Authors
Abstract

Depressive disorders lack objective physiological measurements to characterize the affected population and facilitate study of relevant mechanisms. The melanopsin-mediated light signaling pathway may contribute to seasonal variation and can be measured non-invasively by pupillometry. We prospectively studied changes in melanopsin-mediated pupillary constriction in 19 participants with major depressive disorder (MDD) and 10 control across the summer and winter solstices. The melanopsin-mediated response, as measured by the pupil's sustained constriction six s after a high intensity blue light stimulus, was marginally attenuated in those with MDD relative to controls (p=0.071). The participants with MDD unexpectedly showed a significantly reduced transient pupillary response to low intensity red (p=0.011) and blue light (p=0.013), but not high intensity red and blue light. Sustained pupillary constriction in response to high intensity blue light was more pronounced with increasing daylight hours (p=0.037) and was more strongly related to objectively measured versus estimated light exposure. Melanopsin-mediated impairments in pupil response may serve as a biological marker for vulnerability to depression in low light conditions. Assessment of these and other responses to light stimuli, such as response to low intensity light, may be useful for the study of the neurobiology of MDD and related mood disorders.

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Mendeley demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
Turkey 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 11 17%
Student > Doctoral Student 8 12%
Researcher 7 11%
Student > Ph. D. Student 6 9%
Student > Master 6 9%
Other 7 11%
Unknown 21 32%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 13 20%
Neuroscience 7 11%
Nursing and Health Professions 4 6%
Psychology 4 6%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 9 14%
Unknown 27 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 October 2016.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Psychiatry Research
#6,732
of 7,587 outputs
Outputs of similar age
#283,379
of 323,795 outputs
Outputs of similar age from Psychiatry Research
#126
of 163 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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