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ZNF804A Variation May Affect Hippocampal-Prefrontal Resting-State Functional Connectivity in Schizophrenic and Healthy Individuals

Overview of attention for article published in Neuroscience Bulletin, April 2018
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Title
ZNF804A Variation May Affect Hippocampal-Prefrontal Resting-State Functional Connectivity in Schizophrenic and Healthy Individuals
Published in
Neuroscience Bulletin, April 2018
DOI 10.1007/s12264-018-0221-y
Pubmed ID
Authors

Yuyanan Zhang, Hao Yan, Jinmin Liao, Hao Yu, Sisi Jiang, Qi Liu, Dai Zhang, Weihua Yue

Abstract

The ZNF804A variant rs1344706 has consistently been associated with schizophrenia and plays a role in hippocampal-prefrontal functional connectivity during working memory. Whether the effect exists in the resting state and in patients with schizophrenia remains unclear. In this study, we investigated the ZNF804A polymorphism at rs1344706 in 92 schizophrenic patients and 99 healthy controls of Han Chinese descent, and used resting-state functional magnetic resonance imaging to explore the functional connectivity in the participants. We found a significant main effect of genotype on the resting-state functional connectivity (RSFC) between the hippocampus and the dorsolateral prefrontal cortex (DLPFC) in both schizophrenic patients and healthy controls. The homozygous ZNF804A rs1344706 genotype (AA) conferred a high risk of schizophrenia, and also exhibited significantly decreased resting functional coupling between the left hippocampus and right DLPFC (F(2,165) = 13.43, P < 0.001). The RSFC strength was also correlated with cognitive performance and the severity of psychosis in schizophrenia. The current findings identified the neural impact of the ZNF804A rs1344706 on hippocampal-prefrontal RSFC associated with schizophrenia.

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Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Researcher 6 13%
Student > Bachelor 5 11%
Professor > Associate Professor 4 9%
Student > Master 4 9%
Other 6 13%
Unknown 13 28%
Readers by discipline Count As %
Neuroscience 8 17%
Medicine and Dentistry 6 13%
Psychology 3 7%
Agricultural and Biological Sciences 2 4%
Sports and Recreations 2 4%
Other 10 22%
Unknown 15 33%