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Progress in the study of brain structural network in patients with autism spectrum disorder based on diffusion tensor imaging and graph theory
CHU Yao  CHEN Miaomiao  YU Hao  CHEN Yueqin 

Cite this article as: CHU Y, CHEN M M, YU H, et al. Progress in the study of brain structural network in patients with autism spectrum disorder based on diffusion tensor imaging and graph theory[J]. Chin J Magn Reson Imaging, 2023, 14(6): 99-102, 118. DOI:10.12015/issn.1674-8034.2023.06.017.


[Abstract] Autism spectrum disorder (ASD) is a category of neurodevelopmental disorder characterized by social and emotional interaction disorders as well as narrow interests and stereotyped behaviors, the underlying pathogenesis of which remains unclear. At present, the clinical diagnosis is mainly based on the observation of their behavior and symptoms, which has somewhat subjectivity, and it's difficult to diagnose the early atypical patients. Previous studies show that abnormalities in the brain structural network may be one of the pathogenesis of ASD, which can be quantitatively evaluated by diffusion tensor imaging (DTI) technology and graph theory analysis. In this paper, we mainly summarize the latest research progress on the brain structural network in ASD based on DTI and graph theory analysis. Studies have found abnormal changes of brain structure network in ASD, which includes global properties, nodal properties, rich-club organization, and lateralization, and these changes are closely related to growth and development and clinical symptoms. These findings provide a reference for further understanding the neuropathological mechanism of ASD and searching for the neuroimaging markers for early diagnosis.
[Keywords] autism spectrum disorder；magnetic resonance imaging；diffusion tensor imaging；brain structural network；graph theory

CHU Yao1   CHEN Miaomiao1   YU Hao2   CHEN Yueqin2*  

1 School of Clinical, Jining Medical University, Jining 272013, China

2 Department of Medical Imaging, the Affiliated Hospital of Jining Medical University, Jining 272029, China

Corresponding author: Chen YQ, E-mail: sdjnchenyueqin@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Construction Project of Quality Improvement Plan of Postgraduate Education in Shandong Province (No. SDYKC9213); 2022 Annual High-level Scientific Research Project Cultivation Plan of Jining Medical College (No. JYGC2022FKJ011).
Received  2022-10-24
Accepted  2023-05-06
DOI: 10.12015/issn.1674-8034.2023.06.017
Cite this article as: CHU Y, CHEN M M, YU H, et al. Progress in the study of brain structural network in patients with autism spectrum disorder based on diffusion tensor imaging and graph theory[J]. Chin J Magn Reson Imaging, 2023, 14(6): 99-102, 118. DOI:10.12015/issn.1674-8034.2023.06.017.

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