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Gene X Environment Interactions in Schizophrenia and Bipolar Disorder: Evidence from Neuroimaging

Overview of attention for article published in Frontiers in Psychiatry, January 2013
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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 (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Gene X Environment Interactions in Schizophrenia and Bipolar Disorder: Evidence from Neuroimaging
Published in
Frontiers in Psychiatry, January 2013
DOI 10.3389/fpsyt.2013.00136
Pubmed ID
Authors

Pierre Alexis Geoffroy, Bruno Etain, Josselin Houenou

Abstract

Introduction: Schizophrenia (SZ) and Bipolar disorder (BD) are considered as severe multifactorial diseases, stemming from genetic and environmental influences. Growing evidence supports gene x environment (GxE) interactions in these disorders and neuroimaging studies can help us to understand how those factors mechanistically interact. No reviews synthesized the existing data of neuroimaging studies in these issues. Methods: We conduct a systematic review on the neuroimaging studies exploring GxE interactions relative to SZ or BD in PubMed. Results: First results of the influence of genetic and environmental risks on brain structures came from monozygotic twin pairs concordant and discordant for SZ or BD. Few structural magnetic resonance imaging (sMRI) studies have explored the GxE interactions. No other imaging methods were found. Two main GxE interactions on brain volumes have arisen. First, an interaction between genetic liability to SZ and obstetric complications on gray matter, cerebrospinal fluid, and hippocampal volumes. Second, cannabis use and genetic liability interaction effects on cortical thickness and white matter volumes. Conclusion: Combining GxE interactions and neuroimaging domains is a promising approach. Genetic risk and environmental exposures such as cannabis or obstetrical complications seem to interact leading to specific neuroimaging cerebral alterations in SZ. They are suggestive of GxE interactions that confer phenotypic abnormalities in SZ and possibly BD. We need further, larger neuroimaging studies of GxE interactions for which we may propose a framework focusing on GxE interactions data already known to have a clinical effect such as infections, early stress, urbanicity, and substance abuse.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 117 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 19%
Researcher 14 12%
Student > Ph. D. Student 14 12%
Student > Bachelor 13 11%
Student > Doctoral Student 9 8%
Other 25 21%
Unknown 21 18%
Readers by discipline Count As %
Neuroscience 22 19%
Psychology 22 19%
Medicine and Dentistry 21 18%
Agricultural and Biological Sciences 13 11%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 10 8%
Unknown 26 22%
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 23 February 2021.
All research outputs
#5,483,387
of 22,725,280 outputs
Outputs from Frontiers in Psychiatry
#2,317
of 9,849 outputs
Outputs of similar age
#57,612
of 280,762 outputs
Outputs of similar age from Frontiers in Psychiatry
#69
of 185 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,849 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 76% 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 280,762 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 79% of its contemporaries.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.