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The impact of psychosis on brain anatomy in bipolar disorder: A structural MRI study

Overview of attention for article published in Journal of Affective Disorders, November 2017
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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 (75th percentile)

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Title
The impact of psychosis on brain anatomy in bipolar disorder: A structural MRI study
Published in
Journal of Affective Disorders, November 2017
DOI 10.1016/j.jad.2017.11.092
Pubmed ID
Authors

A Carlo Altamura, Eleonora Maggioni, Taj Dhanoa, Valentina Ciappolino, Riccardo A Paoli, Laura Cremaschi, Cecilia Prunas, Giulia Orsenigo, Elisabetta Caletti, Claudia M Cinnante, Fabio M Triulzi, Bernardo Dell'Osso, Lakshmi Yatham, Paolo Brambilla

Abstract

Bipolar disorder (BD) is a major psychiatric illness characterized by heterogeneous symptoms including psychotic features. Up until now, neuroimaging studies investigating cerebral morphology in patients with BD have underestimated the potential impact of psychosis on brain anatomy in BD patients. In this regard, psychotic and non-psychotic BD may represent biologically different subtypes of the disorder, being possibly associated with specific cerebral features. In the present study, magnetic resonance imaging (MRI) at 3T was used to identify the neuroanatomical correlates of psychosis in an International sample of BD patients. A large sample of structural MRI data from healthy subjects (HC) and BD patients was collected across two research centers. Voxel based morphometry was used to compare gray matter (GM) volume among psychotic and non-psychotic BD patients and HC. We found specific structural alterations in the two patient groups, more extended in the psychotic sample. Psychotic patients showed GM volume deficits in left frontal cortex compared to HC, and in right temporo-parietal cortex compared to both HC and non-psychotic patients (p < 0.001, > 100 voxels). Psychotic patients also exhibited enhanced age-related GM volume deficits in a set of subcortical and cortical regions. The integration of multiple datasets may have affected the results. Overall, our results confirm the importance of classifying BD based on psychosis. The knowledge of the neuronal bases of psychotic symptomatology in BD can provide a more comprehensive picture of the determinants of BD, in the light of the continuum characteristic of major psychoses.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 14%
Student > Bachelor 9 10%
Student > Postgraduate 8 9%
Other 7 8%
Student > Ph. D. Student 7 8%
Other 13 14%
Unknown 33 37%
Readers by discipline Count As %
Medicine and Dentistry 17 19%
Psychology 16 18%
Neuroscience 4 4%
Biochemistry, Genetics and Molecular Biology 3 3%
Engineering 3 3%
Other 11 12%
Unknown 36 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 April 2018.
All research outputs
#3,780,684
of 25,382,440 outputs
Outputs from Journal of Affective Disorders
#2,469
of 10,147 outputs
Outputs of similar age
#78,040
of 446,404 outputs
Outputs of similar age from Journal of Affective Disorders
#53
of 212 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,147 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done well, scoring higher than 75% 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 446,404 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 212 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.