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Medial Prefrontal and Anterior Insular Connectivity in Early Schizophrenia and Major Depressive Disorder: A Resting Functional MRI Evaluation of Large-Scale Brain Network Models

Overview of attention for article published in Frontiers in Human Neuroscience, March 2016
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Title
Medial Prefrontal and Anterior Insular Connectivity in Early Schizophrenia and Major Depressive Disorder: A Resting Functional MRI Evaluation of Large-Scale Brain Network Models
Published in
Frontiers in Human Neuroscience, March 2016
DOI 10.3389/fnhum.2016.00132
Pubmed ID
Authors

Jacob Penner, Kristen A. Ford, Reggie Taylor, Betsy Schaefer, Jean Théberge, Richard W. J. Neufeld, Elizabeth A. Osuch, Ravi S. Menon, Nagalingam Rajakumar, John M. Allman, Peter C. Williamson

Abstract

Anomalies in the medial prefrontal cortex, anterior insulae, and large-scale brain networks associated with them have been proposed to underlie the pathophysiology of schizophrenia and major depressive disorder (MDD). In this study, we examined the connectivity of the medial prefrontal cortices and anterior insulae in 24 healthy controls, 24 patients with schizophrenia, and 24 patients with MDD early in illness with seed-based resting state functional magnetic resonance imaging analysis using Statistical Probability Mapping. As hypothesized, reduced connectivity was found between the medial prefrontal cortex and the dorsal anterior cingulate cortex and other nodes associated with directed effort in patients with schizophrenia compared to controls while patients with MDD had reduced connectivity between the medial prefrontal cortex and ventral prefrontal emotional encoding regions compared to controls. Reduced connectivity was found between the anterior insulae and the medial prefrontal cortex in schizophrenia compared to controls, but contrary to some models emotion processing regions failed to demonstrate increased connectivity with the medial prefrontal cortex in MDD compared to controls. Although, not statistically significant after correction for multiple comparisons, patients with schizophrenia tended to demonstrate decreased connectivity between basal ganglia-thalamocortical regions and the medial prefrontal cortex compared to patients with MDD, which might be expected as these regions effect action. Results were interpreted to support anomalies in nodes associated with directed effort in schizophrenia and nodes associated with emotional encoding network in MDD compared to healthy controls.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Poland 1 1%
Italy 1 1%
Unknown 80 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 20%
Student > Ph. D. Student 14 17%
Researcher 13 15%
Student > Doctoral Student 7 8%
Student > Bachelor 5 6%
Other 14 17%
Unknown 14 17%
Readers by discipline Count As %
Neuroscience 20 24%
Psychology 14 17%
Medicine and Dentistry 10 12%
Agricultural and Biological Sciences 6 7%
Engineering 3 4%
Other 8 10%
Unknown 23 27%
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 12 April 2016.
All research outputs
#14,256,395
of 22,860,626 outputs
Outputs from Frontiers in Human Neuroscience
#4,593
of 7,164 outputs
Outputs of similar age
#160,313
of 300,647 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#116
of 162 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,164 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 32nd percentile – i.e., 32% 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 300,647 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.