Discussion on the Application of Multi-modal Magnetic Resonance Imaging Fusion in Schizophrenia

被引:0
|
作者
Xiaohong Wang
Na Zhao
Jingjing Shi
Yuhua Wu
Jun Liu
Qiang Xiao
Jian Hu
机构
[1] The First Affiliated Hospital of Harbin Medical University,Department of Psychiatry
[2] The First Specialized Hospital of Harbin,Department of Radiology
[3] The First Specialized Hospital of Harbin,undefined
来源
关键词
MR; Multi-modal fusion; Auditory hallucination; Schizophrenia;
D O I
暂无
中图分类号
学科分类号
摘要
In order to study the application of multi-modal magnetic resonance imaging (MRI) fusion technology in schizophrenia, a 4-way multi-modal fusion method based on mCCA+jICA is used to fuse the local consistency and functional network connection of resting-state functional MRI, gray matter volume of structural MRI, and partial anisotropy of diffusion MRI four characteristics of large sample of schizophrenic patients in multi-site China, trying to find out the common characteristics of function and structure of significant differences between schizophrenia and healthy controls. It is found that compared with normal people, schizophrenic patients show higher local consistency, lower gray matter volume, lower functional network connectivity and decreased white matter integrity in the anterior thalamic radiation, upper bundle and other bundles in brain areas such as basal ganglia network, hippocampus and prominence network. There is a significant correlation between a thalamocortical perceptual loop and auditory hallucination in schizophrenia, and there is a high degree of spatial consistency and commonality among the three MRI features. The higher the volume of gray matter in the dorsolateral and medial prefrontal cortex is, the higher the integrity of white matter fibers such as corticospinal tract, superior longitudinal tract and anterior thalamic radiation is, the higher the digital backward score is, and the better the working memory ability of the subjects is.
引用
收藏
相关论文
共 50 条
  • [1] Discussion on the Application of Multi-modal Magnetic Resonance Imaging Fusion in Schizophrenia
    Wang, Xiaohong
    Zhao, Na
    Shi, Jingjing
    Wu, Yuhua
    Liu, Jun
    Xiao, Qiang
    Hu, Jian
    [J]. JOURNAL OF MEDICAL SYSTEMS, 2019, 43 (05)
  • [2] Analysis of first-episode and chronic schizophrenia using multi-modal magnetic resonance imaging
    Wi, X. -B.
    Zhang, Y.
    Yang, D. -Y.
    Yang, Y. -Z.
    Wu, F. -C.
    Ning, Y. -P.
    Wu, K.
    [J]. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES, 2018, 22 (19) : 6422 - 6435
  • [3] Multi-modal magnetic resonance imaging in a mouse model of concussion
    Xuan Vinh To
    Fatima A. Nasrallah
    [J]. Scientific Data, 8
  • [4] Multi-modal magnetic resonance imaging in a mouse model of concussion
    To, Xuan Vinh
    Nasrallah, Fatima A.
    [J]. SCIENTIFIC DATA, 2021, 8 (01)
  • [5] PHENOTYPING OF SCHIZOPHRENIA BY MULTI-MODAL BRAIN IMAGING
    Schal, Ulrich
    Rasser, Paul E. .
    Fulham, Ross
    Todd, Juanita
    Michie, Patricia T.
    Ward, Philip B.
    Johnston, Patrick
    Thompson, Paul M.
    [J]. SCHIZOPHRENIA RESEARCH, 2010, 117 (2-3) : 480 - 481
  • [6] PHENOTYPING OF SCHIZOPHRENIA BY MULTI-MODAL BRAIN IMAGING
    Schall, Ulrich
    Rasser, Paul E.
    Fulham, Ross
    Todd, Juanita
    Johnston, Patrick J.
    Ward, Philip B.
    Thompson, Paul M.
    Michie, Patricia T.
    [J]. AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY, 2010, 44 : A37 - A37
  • [7] Automatic classification of first-episode, drug-naive schizophrenia with multi-modal magnetic resonance imaging
    Yang, Yongzhe
    Zhang, Yue
    Wu, Fengchun
    Lu, Xiaobing
    Ning, Yuping
    Huang, Biao
    Du, Xin
    Li, Chengwei
    Wang, Kaixi
    Wu, Xiaoming
    Wu, Kai
    [J]. Shengwu Yixue Gongchengxue Zazhi/Journal of Biomedical Engineering, 2017, 34 (05): : 674 - 680
  • [8] Insights into cardiac and vascular remodelling in athletes by multi-modal magnetic resonance imaging
    Petersen, S
    Neubauer, S
    Channon, K
    [J]. HEART, 2006, 92 : A104 - A104
  • [9] Multi-modal Fusion
    Liu, Huaping
    Hussain, Amir
    Wang, Shuliang
    [J]. INFORMATION SCIENCES, 2018, 432 : 462 - 462
  • [10] Multi-modal magnetic resonance imaging in efficacy assessment of combined therapy for glioma
    Wang, Weiqing
    Gai, Longxian
    Liu, Weihua
    Liu, Xuejian
    Xiang, Juan
    Wu, Xia
    [J]. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2019, 12 (08): : 10109 - 10116