Degree centrality of the functional network in schizophrenia patients_Journal of Biomedical Engineering

Authors：

DUAN Mingjun ^1,2 , JIANG Yuchao ¹ , CHEN Xi ¹ , LUO Cheng ¹ ,  YAO Dezhong ¹

1. Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, P.R.China;
2. The Fourth People’s Hospital of Chengdu, Chengdu 610036, P.R.China;

Corresponding author：

YAO Dezhong, Email: dyao@uestc.edu.cn

Keywords：

schizophrenia; degree centrality; resting-state; magnetic resonance imaging; brain network

DOI：

10.7507/1001-5515.201607062

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The aim of the present study was to investigate the alternations of brain functional networks at resting state in the schizophrenia (SCH) patients using voxel-wise degree centrality (DC) method. The resting-state functional magnetic resonance imaging (rfMRI) data were collected from 41 SCH patients and 41 matched healthy control subjects and then analyzed by voxel-wise DC method. The DC maps between the patient group and the control group were compared using by two sample t test. The correlation analysis was also performed between DC values and clinical symptom and illness duration in SCH group. Results showed that compared with the control group, SCH patients exhibited significantly decreased DC value in primary sensorimotor network, and increased DC value in executive control network. In addition, DC value of the regions with obvious differences between the two groups significantly correlated to Positive and Negative Syndrome Scale (PANSS) scores and illness duration of SCH patients. The study showed the abnormal functional integration in primary sensorimotor network and executive control network in SCH patients.

Citation： DUAN Mingjun, JIANG Yuchao, CHEN Xi, LUO Cheng, YAO Dezhong. Degree centrality of the functional network in schizophrenia patients. Journal of Biomedical Engineering, 2017, 34(6): 837-841. doi: 10.7507/1001-5515.201607062 Copy

1.	Li Mingli, Deng Wei, He Zongling, et al. A splitting brain: Imbalanced neural networks in schizophrenia. Psychiatry Res, 2015, 232(2): 145-153.
2.	Fang Xiaojing, Wang Yulin, Cheng Luqi, et al. Prefrontal dysconnectivity links to working memory deficit in first-episode schizophrenia. Brain Imaging Behav, 2017. DOI: 10.1007/s11682-017-9692-0.
3.	Xi Yibin, Li Chen, Cui Longbiao, et al. Anterior cingulate cortico-hippocampal dysconnectivity in unaffected relatives of schizophrenia patients: a stochastic dynamic causal modeling study. Front Hum Neurosci, 2016, 10: 383.
4.	Wang Jicai, Cao Hongbao, Liao Yanhui, et al. Three dysconnectivity patterns in treatment-resistant schizophrenia patients and their unaffected siblings. Neuroimage Clin, 2015, 8(8): 95-103.
5.	Pankow A, Deserno L, Walter M, et al. Reduced default mode network connectivity in schizophrenia patients. Schizophr Res, 2015, 165(1): 90-93.
6.	Zuo X N, Ehmke R, Mennes M, et al. Network centrality in the human functional connectome. Cereb Cortex, 2012, 22(8): 1862-1875.
7.	Zhang Delong, Liu Xian, Chen Jun, et al. Widespread increase of functional connectivity in Parkinson’s disease with tremor: a resting-state FMRI study. Front Aging Neurosci, 2015, 7: 6.
8.	Keedy S K, Reilly J L, Bishop J R, et al. Impact of antipsychotic treatment on attention and motor learning systems in first-episode schizophrenia. Schizophr Bull, 2015, 41(2): 355-365.
9.	Woodward N D, Karbasforoushan H, Heckers S. Thalamocortical dysconnectivity in schizophrenia. Am J Psychiatry, 2012, 169(10): 1092-1099.

1. Li Mingli, Deng Wei, He Zongling, et al. A splitting brain: Imbalanced neural networks in schizophrenia. Psychiatry Res, 2015, 232(2): 145-153.
2. Fang Xiaojing, Wang Yulin, Cheng Luqi, et al. Prefrontal dysconnectivity links to working memory deficit in first-episode schizophrenia. Brain Imaging Behav, 2017. DOI: 10.1007/s11682-017-9692-0.
3. Xi Yibin, Li Chen, Cui Longbiao, et al. Anterior cingulate cortico-hippocampal dysconnectivity in unaffected relatives of schizophrenia patients: a stochastic dynamic causal modeling study. Front Hum Neurosci, 2016, 10: 383.
4. Wang Jicai, Cao Hongbao, Liao Yanhui, et al. Three dysconnectivity patterns in treatment-resistant schizophrenia patients and their unaffected siblings. Neuroimage Clin, 2015, 8(8): 95-103.
5. Pankow A, Deserno L, Walter M, et al. Reduced default mode network connectivity in schizophrenia patients. Schizophr Res, 2015, 165(1): 90-93.
6. Zuo X N, Ehmke R, Mennes M, et al. Network centrality in the human functional connectome. Cereb Cortex, 2012, 22(8): 1862-1875.
7. Zhang Delong, Liu Xian, Chen Jun, et al. Widespread increase of functional connectivity in Parkinson’s disease with tremor: a resting-state FMRI study. Front Aging Neurosci, 2015, 7: 6.
8. Keedy S K, Reilly J L, Bishop J R, et al. Impact of antipsychotic treatment on attention and motor learning systems in first-episode schizophrenia. Schizophr Bull, 2015, 41(2): 355-365.
9. Woodward N D, Karbasforoushan H, Heckers S. Thalamocortical dysconnectivity in schizophrenia. Am J Psychiatry, 2012, 169(10): 1092-1099.

Journal of Biomedical Engineering

Degree centrality of the functional network in schizophrenia patients

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