Analysis of resting-state functional brain network in schizophrenia patients based on graph theory(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2024年第7期
- Page:
- 821-827
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Analysis of resting-state functional brain network in schizophrenia patients based on graph theory
- Author(s):
- REN Xiufang; LUO Jie
- Department of Mathematics, College of Sciences, Nanjing Agricultural University, Nanjing 210095, China
- Keywords:
- Keywords: schizophrenia resting-state functional magnetic resonance imaging brain network graph theory
- PACS:
- R318；R749.6
- DOI:
- DOI:10.3969/j.issn.1005-202X.2024.07.006
- Abstract:
- Abstract: Objective To explore the brain network and its topological properties in schizophrenia patients using resting-state functional magnetic resonance imaging (rs-fMRI). Methods Thirty-five schizophrenia patients (patient group) and 35 healthy subjects (control group) from the Center of Biomedical Research Excellence were collected, and the regional homogeneities of the two groups were calculated for statistical analysis. Dosenbachs 160 atlas was used to examine the whole brain functional network, and extract two sub networks of the whole brain network (default mode network and somatic motor network) for constructing a new network. The topological properties of the whole brain network and the new network were calculated. Results In schizophrenia patients, the functional connectivity between default mode network and somatic motor network and that within the default mode networks were significantly weakened (P<0.05, FDR corrected) the clustering coefficient of the whole brain network was decreased and the global and local efficiencies of the network composed of default mode network and somatic motor network were reduced (P<0.05). Conclusion Abnormal functional connectivity is found between default mode network and somatic motor network and within default mode network in schizophrenia patients, and the significant changes of topological properties between default mode network and somatic motor network may be the key factor. In addition, this conclusion can be applied to qualitative analysis of the brain neuron stochastic differential equations corresponding to default mode network and somatic motor network, which is helpful for the physical therapy for schizophrenia.
Last Update: 2024-07-12