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

Author:

Wang Yong-ming1234,Yang Zhuo-ya14,Cai Xin-lu1234,Zhou Han-yu14,Zhang Rui-ting14,Yang Han-xue14,Liang Yun-si1234,Zhu Xiong-zhao56,Madsen Kristoffer Hougaard378ORCID,Sørensen Thomas Alrik39,Møller Arne310,Wang Zhen11,Cheung Eric F C12,Chan Raymond C K1234

Affiliation:

1. Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, PR China

2. Sino-Danish College, University of Chinese Academy of Sciences, Beijing, PR China

3. Sino-Danish Center for Education and Research, Beijing, PR China

4. Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China

5. Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, PR China

6. Medical Psychological Institute of Central South University, Changsha, Hunan, PR China

7. Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark

8. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark

9. Centre for Cognitive Neuroscience, Department of Communication and Psychology, Aalborg University, Aalborg, Denmark

10. Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark

11. Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China

12. Castle Peak Hospital, Hong Kong Special Administrative Region, PR China

Abstract

Abstract 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.

Funder

National Key Research and Development Programme

Beijing Municipal Science & Technology Commission

Beijing Training Project for the Leading Talents in S & T

Strategic Priority Research Programme (B) of the Chinese Academy of Science

CAS Key Laboratory of Mental Health

Institute of Psychology

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health

Reference90 articles.

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