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GABA System in Schizophrenia and Mood Disorders: A Mini Review on Third-Generation Imaging Studies

Overview of attention for article published in Frontiers in Psychiatry, April 2016
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Title
GABA System in Schizophrenia and Mood Disorders: A Mini Review on Third-Generation Imaging Studies
Published in
Frontiers in Psychiatry, April 2016
DOI 10.3389/fpsyt.2016.00061
Pubmed ID
Authors

Chiara Chiapponi, Federica Piras, Fabrizio Piras, Carlo Caltagirone, Gianfranco Spalletta

Abstract

Third-generation neuroimaging research has been enriched by advances in magnetic resonance spectroscopy (MRS) measuring the concentration of important neurotrasmitters, such as the inhibitory amino acid GABA. Here, we performed a systematic mini-review on brain MRS studies measuring GABA concentration in patients affected by schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD). We wondered whether multimodal investigations could overcome intrinsic technical limits of MRS giving a broader view of mental disorders pathogenesis. In SZ, unimodal studies gave mixed results, as increased, decreased, or unaltered GABA levels were reported depending on region, disease phase, and treatment. Conversely, multimodal results showed reduced level of glutamate, but not of GABA, in patients mirrored by in vitro biochemical findings revealing hippocampal reduction in glutamate signaling in SZ, and no deficits in GABA synthesis. Moreover, a mouse model confirmed the unique pathological characteristic of glutamate function in SZ. Unimodal studies in BD revealed again, inconsistent results, while no multimodal investigations including MRS on GABA exist. In MDD, unimodal studies could not differentiate patients from controls nor characterize high-risk subjects and remitted patients. However, a multimodal study combining functional magnetic resonance imaging and MRS revealed that cingulate cortex activity is related to glutamate, N-acetylaspartate levels and anhedonia in patients, and to GABA concentration in healthy subjects, improving the distinction between MDD and physiology. Overall, our results show that unimodal studies do not indicate GABA as a biomarker for the psychiatric disorders considered. Conversely, multimodal studies can widen the understanding of the link between psychopathology, genetics, neuroanatomy, and functional-biochemical brain activity in mental disorders. Although scarce, multimodal approaches seem promising for moving from GABA MRS unimodal-descriptive to causal level, and for integrating GABA results into a more comprehensive interpretation of mental disorder pathophysiology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Spain 1 <1%
Italy 1 <1%
Unknown 187 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 18%
Student > Bachelor 30 16%
Researcher 24 13%
Student > Master 18 9%
Student > Postgraduate 13 7%
Other 30 16%
Unknown 41 22%
Readers by discipline Count As %
Neuroscience 34 18%
Medicine and Dentistry 31 16%
Psychology 25 13%
Agricultural and Biological Sciences 16 8%
Biochemistry, Genetics and Molecular Biology 10 5%
Other 28 15%
Unknown 46 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 May 2016.
All research outputs
#14,845,697
of 22,862,742 outputs
Outputs from Frontiers in Psychiatry
#5,071
of 10,020 outputs
Outputs of similar age
#170,078
of 299,207 outputs
Outputs of similar age from Frontiers in Psychiatry
#39
of 66 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,020 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 299,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.