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Altered resting-state functional connectivity of the cerebellum in schizophrenia

Overview of attention for article published in Brain Imaging and Behavior, March 2017
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Title
Altered resting-state functional connectivity of the cerebellum in schizophrenia
Published in
Brain Imaging and Behavior, March 2017
DOI 10.1007/s11682-017-9704-0
Pubmed ID
Authors

Chuanjun Zhuo, Chunli Wang, Lina Wang, Xinyu Guo, Qingying Xu, Yanyan Liu, Jiajia Zhu

Abstract

Structural and functional abnormalities of the cerebellum in schizophrenia have been reported. Most previous studies investigating resting-state functional connectivity (rsFC) have relied on a priori restrictions on seed regions or specific networks, which may bias observations. In this study, we aimed to elicit the connectivity alterations of the cerebellum in schizophrenia in a hypothesis-free approach. Ninety-five schizophrenia patients and 93 sex- and age-matched healthy controls underwent resting-state functional magnetic resonance imaging (fMRI). A voxel-wise data-driven method, resting-state functional connectivity density (rsFCD), was used to investigate cerebellar connectivity changes in schizophrenia patients. Regions with altered rsFCD were chosen as seeds to perform seed-based resting-state functional connectivity (rsFC) analyses. We found that schizophrenia patients exhibited decreased rsFCD in the right hemispheric VI; moreover, this cerebellar region showed increased rsFC with the prefrontal cortex and subcortical nuclei and decreased rsFC with the visual cortex and sensorimotor cortex. In addition, some rsFC changes were associated with positive symptoms. These findings suggest that abnormalities of the cerebellar hub and cerebellar-subcortical-cortical loop may be the underlying mechanisms of schizophrenia.

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Mendeley readers

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The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Student > Ph. D. Student 11 16%
Student > Master 10 15%
Student > Postgraduate 4 6%
Student > Doctoral Student 4 6%
Other 6 9%
Unknown 20 30%
Readers by discipline Count As %
Neuroscience 12 18%
Psychology 7 10%
Medicine and Dentistry 5 7%
Engineering 4 6%
Nursing and Health Professions 3 4%
Other 8 12%
Unknown 28 42%
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 18 March 2017.
All research outputs
#20,410,007
of 22,959,818 outputs
Outputs from Brain Imaging and Behavior
#1,008
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Outputs of similar age
#268,648
of 307,966 outputs
Outputs of similar age from Brain Imaging and Behavior
#28
of 39 outputs
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