|Title:||Individualized prediction of schizophrenia based on the whole-brain pattern of altered white matter tract integrity||Authors:||YU-JEN CHEN
WEN-YIH ISAAC TSENG
|Keywords:||diffusion magnetic resonance imaging | diffusion spectrum imaging | individualized prediction | schizophrenia | tract-based automatic analysis | white matter tracts||Issue Date:||2018||Publisher:||Wiley-Blackwell||Journal Volume:||39||Journal Issue:||1||Source:||Human Brain Mapping||Abstract:||
© 2017 Wiley Periodicals, Inc. 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. © 2017 Wiley Periodicals, Inc.
|Appears in Collections:||醫療器材與醫學影像研究所|
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