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What Can Psychiatric Disorders Tell Us about Neural Processing of the Self?

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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11 X users
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1 Redditor

Citations

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30 Dimensions

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165 Mendeley
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1 CiteULike
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Title
What Can Psychiatric Disorders Tell Us about Neural Processing of the Self?
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00485
Pubmed ID
Authors

Weihua Zhao, Lizhu Luo, Qin Li, Keith M. Kendrick

Abstract

Many psychiatric disorders are associated with abnormal self-processing. While these disorders also have a wide-range of complex, and often heterogeneous sets of symptoms involving different cognitive, emotional, and motor domains, an impaired sense of self can contribute to many of these. Research investigating self-processing in healthy subjects has facilitated identification of changes in specific neural circuits which may cause altered self-processing in psychiatric disorders. While there is evidence for altered self-processing in many psychiatric disorders, here we will focus on four of the most studied ones, schizophrenia, autism spectrum disorder (ASD), major depression, and borderline personality disorder (BPD). We review evidence for dysfunction in two different neural systems implicated in self-processing, namely the cortical midline system (CMS) and the mirror neuron system (MNS), as well as contributions from altered inter-hemispheric connectivity (IHC). We conclude that while abnormalities in frontal-parietal activity and/or connectivity in the CMS are common to all four disorders there is more disruption of integration between frontal and parietal regions resulting in a shift toward parietal control in schizophrenia and ASD which may contribute to the greater severity and delusional aspects of their symptoms. Abnormalities in the MNS and in IHC are also particularly evident in schizophrenia and ASD and may lead to disturbances in sense of agency and the physical self in these two disorders. A better future understanding of how changes in the neural systems sub-serving self-processing contribute to different aspects of symptom abnormality in psychiatric disorders will require that more studies carry out detailed individual assessments of altered self-processing in conjunction with measurements of neural functioning.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 2 1%
Cuba 1 <1%
Spain 1 <1%
Germany 1 <1%
Unknown 158 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 17%
Student > Ph. D. Student 27 16%
Student > Bachelor 21 13%
Student > Master 18 11%
Student > Doctoral Student 18 11%
Other 31 19%
Unknown 22 13%
Readers by discipline Count As %
Psychology 63 38%
Neuroscience 29 18%
Medicine and Dentistry 13 8%
Agricultural and Biological Sciences 8 5%
Social Sciences 4 2%
Other 19 12%
Unknown 29 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 August 2016.
All research outputs
#5,043,777
of 25,078,088 outputs
Outputs from Frontiers in Human Neuroscience
#2,121
of 7,620 outputs
Outputs of similar age
#50,479
of 293,438 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#298
of 861 outputs
Altmetric has tracked 25,078,088 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,620 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 72% 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 293,438 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 861 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 65% of its contemporaries.