Individualized prediction of schizophrenia based on the whole-brain pattern of altered white matter tract integrity

Yu Jen Chen, Chih Min Liu, Yung Chin Hsu, Yu Chun Lo, Tzung Jeng Hwang, Hai Gwo Hwu, Yi Tin Lin, Wen Yih Isaac Tseng

研究成果: 雜誌貢獻文章

2 引文 (Scopus)

摘要

Background: A schizophrenia diagnosis relies on characteristic symptoms identified by trained physicians, and is thus prone to subjectivity. This study developed a procedure for the individualized prediction of schizophrenia based on whole-brain patterns of altered white matter tract integrity. Methods: The study comprised training (108 patients and 144 controls) and testing (60 patients and 60 controls) groups. Male and female participants were comparable in each group and were analyzed separately. All participants underwent diffusion spectrum imaging of the head, and the data were analyzed using the tract-based automatic analysis method to generate a standardized two-dimensional array of white matter tract integrity, called the connectogram. Unique patterns in the connectogram that most accurately identified schizophrenia were systematically reviewed in the training group. Then, the diagnostic performance of the patterns was individually verified in the testing group by using receiver-operating characteristic curve analysis. Results: The performance was high in men (accuracy = 0.85) and satisfactory in women (accuracy = 0.75). In men, the pattern was located in discrete fiber tracts, as has been consistently reported in the literature; by contrast, the pattern was widespread over all tracts in women. These distinct patterns suggest that there is a higher variability in the microstructural alterations in female patients than in male patients. Conclusions: The individualized prediction of schizophrenia is feasible based on the different whole-brain patterns of tract integrity. The optimal masks and their corresponding regions in the fiber tracts could serve as potential imaging biomarkers for schizophrenia. Hum Brain Mapp 39:575–587, 2018.
原文英語
頁(從 - 到)575-587
頁數13
期刊Human Brain Mapping
39
發行號1
DOIs
出版狀態已發佈 - 一月 1 2018

指紋

Schizophrenia
Brain
Masks
ROC Curve
Biomarkers
Head
White Matter
Physicians
Control Groups

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

引用此文

Individualized prediction of schizophrenia based on the whole-brain pattern of altered white matter tract integrity. / Chen, Yu Jen; Liu, Chih Min; Hsu, Yung Chin; Lo, Yu Chun; Hwang, Tzung Jeng; Hwu, Hai Gwo; Lin, Yi Tin; Tseng, Wen Yih Isaac.

於: Human Brain Mapping, 卷 39, 編號 1, 01.01.2018, p. 575-587.

研究成果: 雜誌貢獻文章

Chen, Yu Jen ; Liu, Chih Min ; Hsu, Yung Chin ; Lo, Yu Chun ; Hwang, Tzung Jeng ; Hwu, Hai Gwo ; Lin, Yi Tin ; Tseng, Wen Yih Isaac. / Individualized prediction of schizophrenia based on the whole-brain pattern of altered white matter tract integrity. 於: Human Brain Mapping. 2018 ; 卷 39, 編號 1. 頁 575-587.
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abstract = "Background: A schizophrenia diagnosis relies on characteristic symptoms identified by trained physicians, and is thus prone to subjectivity. This study developed a procedure for the individualized prediction of schizophrenia based on whole-brain patterns of altered white matter tract integrity. Methods: The study comprised training (108 patients and 144 controls) and testing (60 patients and 60 controls) groups. Male and female participants were comparable in each group and were analyzed separately. All participants underwent diffusion spectrum imaging of the head, and the data were analyzed using the tract-based automatic analysis method to generate a standardized two-dimensional array of white matter tract integrity, called the connectogram. Unique patterns in the connectogram that most accurately identified schizophrenia were systematically reviewed in the training group. Then, the diagnostic performance of the patterns was individually verified in the testing group by using receiver-operating characteristic curve analysis. Results: The performance was high in men (accuracy = 0.85) and satisfactory in women (accuracy = 0.75). In men, the pattern was located in discrete fiber tracts, as has been consistently reported in the literature; by contrast, the pattern was widespread over all tracts in women. These distinct patterns suggest that there is a higher variability in the microstructural alterations in female patients than in male patients. Conclusions: The individualized prediction of schizophrenia is feasible based on the different whole-brain patterns of tract integrity. The optimal masks and their corresponding regions in the fiber tracts could serve as potential imaging biomarkers for schizophrenia. Hum Brain Mapp 39:575–587, 2018.",
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AB - Background: A schizophrenia diagnosis relies on characteristic symptoms identified by trained physicians, and is thus prone to subjectivity. This study developed a procedure for the individualized prediction of schizophrenia based on whole-brain patterns of altered white matter tract integrity. Methods: The study comprised training (108 patients and 144 controls) and testing (60 patients and 60 controls) groups. Male and female participants were comparable in each group and were analyzed separately. All participants underwent diffusion spectrum imaging of the head, and the data were analyzed using the tract-based automatic analysis method to generate a standardized two-dimensional array of white matter tract integrity, called the connectogram. Unique patterns in the connectogram that most accurately identified schizophrenia were systematically reviewed in the training group. Then, the diagnostic performance of the patterns was individually verified in the testing group by using receiver-operating characteristic curve analysis. Results: The performance was high in men (accuracy = 0.85) and satisfactory in women (accuracy = 0.75). In men, the pattern was located in discrete fiber tracts, as has been consistently reported in the literature; by contrast, the pattern was widespread over all tracts in women. These distinct patterns suggest that there is a higher variability in the microstructural alterations in female patients than in male patients. Conclusions: The individualized prediction of schizophrenia is feasible based on the different whole-brain patterns of tract integrity. The optimal masks and their corresponding regions in the fiber tracts could serve as potential imaging biomarkers for schizophrenia. Hum Brain Mapp 39:575–587, 2018.

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