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Deterioration in Global Organization of Structural Brain Networks in Schizophrenia: A Diffusion MRI Tractography Study

Overview of attention for article published in Frontiers in Psychiatry, June 2018
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Title
Deterioration in Global Organization of Structural Brain Networks in Schizophrenia: A Diffusion MRI Tractography Study
Published in
Frontiers in Psychiatry, June 2018
DOI 10.3389/fpsyt.2018.00272
Pubmed ID
Authors

Seung-Hyun Shon, Woon Yoon, Harin Kim, Sung Woo Joo, Yangsik Kim, Jungsun Lee

Abstract

Schizophrenia is a heterogenous neuropsychiatric disorder with varying degrees of altered connectivity in a wide range of brain areas. Network analysis using graph theory allows researchers to integrate and quantify relationships between widespread changes in a network system. This study examined the organization of brain structural networks by applying diffusion MRI, probabilistic tractography, and network analysis to 48 schizophrenia patients and 24 healthy controls. T1-weighted MR images obtained from all participants were parcellated into 87 regions of interests (ROIs) according to a prior anatomical template and registered to diffusion-weighted images (DWI) of the same subjects. Probabilistic tractography was performed to obtain sets of white matter tracts between any two ROIs and determine the connection probabilities between them. Connectivity matrices were constructed using these estimated connectivity probabilities, and several network properties related to network effectiveness were calculated. Global efficiency, local efficiency, clustering coefficient, and mean connectivity strength were significantly lower in schizophrenia patients (p = 0.042, p = 0.011, p = 0.013, p = 0.046). Mean betweenness centrality was significantly higher in schizophrenia (p = 0.041). Comparisons of node wise properties showed trends toward differences in several brain regions. Nodal local efficiency was consistently lower in the basal ganglia, frontal, temporal, cingulate, diencephalon, and precuneus regions in the schizophrenia group. Inter-group differences in nodal degree and nodal betweenness centrality varied by region and showed inconsistent results. Robustness was not significantly different between the study groups. Significant positive correlations were found between t-score of color trails test part-1 and local efficiency and mean connectivity strength in the patient group. The findings of this study suggest that schizophrenia results in deterioration of the global network organization of the brain and reduced ability for information processing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 15%
Student > Master 6 15%
Student > Ph. D. Student 5 13%
Student > Doctoral Student 3 8%
Researcher 2 5%
Other 2 5%
Unknown 15 38%
Readers by discipline Count As %
Neuroscience 10 26%
Medicine and Dentistry 4 10%
Psychology 3 8%
Sports and Recreations 1 3%
Chemical Engineering 1 3%
Other 2 5%
Unknown 18 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 July 2018.
All research outputs
#17,978,863
of 23,088,369 outputs
Outputs from Frontiers in Psychiatry
#6,224
of 10,207 outputs
Outputs of similar age
#237,923
of 329,052 outputs
Outputs of similar age from Frontiers in Psychiatry
#143
of 179 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
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