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Identifying Schizo-Obsessive Comorbidity by Tract-Based Spatial Statistics and Probabilistic Tractography

  • Yong Ming Wang
  • , Zhuo Ya Yang
  • , Xin Lu Cai
  • , Han Yu Zhou
  • , Rui Ting Zhang
  • , Han Xue Yang
  • , Yun Si Liang
  • , Xiong Zhao Zhu
  • , Kristoffer Hougaard Madsen
  • , Thomas Alrik Sørensen
  • , Arne Møller
  • , Zhen Wang
  • , Eric F.C. Cheung
  • , Raymond C.K. Chan*
  • *此作品的通讯作者
  • CAS - Institute of Psychology
  • Sino-Danish College
  • University of Chinese Academy of Sciences
  • Sino-Danish Center For Education And Research
  • Department of Psychology
  • Medical Psychological Center
  • Central South University
  • Danish Research Centre for Magnetic Resonance
  • University of Copenhagen
  • Department of Applied Mathematics and Computer Science
  • Technical University of Denmark
  • Aalborg University
  • Aarhus University
  • Shanghai Jiao Tong University
  • Castle Peak Hospital

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

A phenomenon in schizophrenia patients that deserves attention is the high comorbidity rate with obsessive-compulsive disorder (OCD). Little is known about the neurobiological basis of schizo-obsessive comorbidity (SOC). We aimed to investigate whether specific changes in white matter exist in patients with SOC and the relationship between such abnormalities and clinical parameters. Twenty-eight patients with SOC, 28 schizophrenia patients, 30 OCD patients, and 30 demographically matched healthy controls were recruited. Using Tract-based Spatial Statistics and Probabilistic Tractography, we examined the pattern of white matter abnormalities in these participants. We also used ANOVA and Support Vector Classification of various white matter indices and structural connection probability to further examine white matter changes among the 4 groups. We found that patients with SOC had decreased fractional anisotropy (FA) and increased radial diffusivity in the right sagittal stratum and the left crescent of the fornix/stria terminalis compared with healthy controls. We also found changed connection probability in the Default Mode Network, the Subcortical Network, the Attention Network, the Task Control Network, the Visual Network, the Somatosensory Network, and the cerebellum in the SOC group compared with the other 3 groups. The classification results further revealed that FA features could differentiate the SOC group from the other 3 groups with an accuracy of. 78. These findings highlight the specific white matter abnormalities found in patients with SOC.

源语言英语
页(从-至)442-453
页数12
期刊Schizophrenia Bulletin
卷46
期2
DOI
出版状态已出版 - 1 3月 2020
已对外发布是

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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