A Systematic Characterization of Structural Brain Changes in Schizophrenia
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ORIGINAL ARTICLE
A Systematic Characterization of Structural Brain Changes in Schizophrenia Wasana Ediri Arachchi1,2 • Yanmin Peng1 • Xi Zhang1 • Wen Qin3 Chuanjun Zhuo3,4 • Chunshui Yu1,3,5 • Meng Liang1
•
Received: 5 November 2019 / Accepted: 13 February 2020 Shanghai Institutes for Biological Sciences, CAS 2020
Abstract A systematic characterization of the similarities and differences among different methods for detecting structural brain abnormalities in schizophrenia, such as voxel-based morphometry (VBM), tensor-based morphometry (TBM), and projection-based thickness (PBT), is important for understanding the brain pathology in schizophrenia and for developing effective biomarkers for a diagnosis of schizophrenia. However, such studies are still lacking. Here, we performed VBM, TBM, and PBT analyses on T1-weighted brain MR images acquired from 116 patients with schizophrenia and 116 healthy controls.
We found that, although all methods detected wide-spread structural changes, different methods captured different information – only 10.35% of the grey matter changes in cortex were detected by all three methods, and VBM only detected 11.36% of the white matter changes detected by TBM. Further, pattern classification between patients and controls revealed that combining different measures improved the classification accuracy (81.9%), indicating that fusion of different structural measures serves as a better neuroimaging marker for the objective diagnosis of schizophrenia.
Wasana Ediri Arachchi and Yanmin Peng have contributed equally to this work.
Keywords Voxel-based morphometry Tensor-based morphometry Deformation-based morphometry Cortical thickness Multivariate pattern analysis Structural MRI Schizophrenia
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s12264-020-00520-8) contains supplementary material, which is available to authorized users. & Meng Liang [email protected] 1
School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin 300203, China
2
Department of Radiography and Radiotherapy, Faculty of Allied Health Sciences, General Sir John Kotelawala Defence University, Ratmalana 10390, Sri Lanka
3
Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
4
Department of Psychiatric-Neuroimaging-Genetics and Comorbidity Laboratory, Tianjin Mental Health Center, Tianjin Anding Hospital, Tianjin 300222, China
5
CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
Introduction Schizophrenia is a severe chronic illness associated with psychosis, thought disorganization, cognitive impairment, and altered motor function [1, 2]. It seems that patients have lost touch with reality and this leads to considerable impact on their health and well-being as well as their surrounding environment [3
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