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Gray Matter Volumetric Abnormalities Associated with the Onset of Psychosis

Overview of attention for article published in Frontiers in Psychiatry, January 2012
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Title
Gray Matter Volumetric Abnormalities Associated with the Onset of Psychosis
Published in
Frontiers in Psychiatry, January 2012
DOI 10.3389/fpsyt.2012.00101
Pubmed ID
Authors

Wi Hoon Jung, Stefan Borgwardt, Paolo Fusar-Poli, Jun Soo Kwon

Abstract

Patients with psychosis display structural brain abnormalities in multiple brain regions. The disorder is characterized by a putative prodromal period called ultra-high-risk (UHR) status, which precedes the onset of full-blown psychotic symptoms. Recent studies on psychosis have focused on this period. Neuroimaging studies of UHR individuals for psychosis have revealed that the structural brain changes observed during the established phases of the disorder are already evident prior to the onset of the illness. Moreover, certain brain regions show extremely dynamic changes during the transition to psychosis. These neurobiological features may be used as prognostic and predictive biomarkers for psychosis. With advances in neuroimaging techniques, neuroimaging studies focusing on gray matter abnormalities provide new insights into the pathophysiology of psychosis, as well as new treatment strategies. Some of these novel approaches involve antioxidants administration, because it is suggested that this treatment may delay the progression of UHR to a full-blown psychosis and prevent progressive structural changes. The present review includes an update on the most recent developments in early intervention strategies for psychosis and potential therapeutic treatments for schizophrenia. First, we provide the basic knowledge of the brain regions associated with structural abnormalities in individuals at UHR. Next, we discuss the feasibility on the use of magnetic resonance imaging (MRI)-biomarkers in clinical practice. Then, we describe potential etiopathological mechanisms underlying structural brain abnormalities in prodromal psychosis. Finally, we discuss the potentials and limitations related to neuroimaging studies in individuals at UHR.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Canada 1 1%
Unknown 66 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 26%
Researcher 12 17%
Student > Master 9 13%
Student > Doctoral Student 5 7%
Student > Postgraduate 4 6%
Other 10 14%
Unknown 11 16%
Readers by discipline Count As %
Psychology 20 29%
Neuroscience 14 20%
Medicine and Dentistry 11 16%
Agricultural and Biological Sciences 2 3%
Engineering 2 3%
Other 1 1%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 January 2013.
All research outputs
#7,110,122
of 22,687,320 outputs
Outputs from Frontiers in Psychiatry
#3,056
of 9,802 outputs
Outputs of similar age
#67,487
of 244,125 outputs
Outputs of similar age from Frontiers in Psychiatry
#32
of 90 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 9,802 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 gotten more attention than average, scoring higher than 68% 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 244,125 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 90 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 63% of its contemporaries.