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Clinical Article
Magnetic resonance imaging on morphological abnormalities of brain in 1—3 years old children with autism spectrum disorder
LIU Bingguang  CAO Manrui  ZHU Zhijun  LIU Yang  WAN Guobin 

Cite this article as: Liu BG, Cao MR, Zhu ZJ, et al. Magnetic resonance imaging on morphological abnormalities of brain in 1—3 years old children with autism spectrum disorder. Chin J Magn Reson Imaging, 2020, 11(11): 990-993, 998. DOI:10.12015/issn.1674-8034.2020.11.007.


[Abstract] Objective: To analyze morphological abnormalities of brain in 1—3 years old children with autism spectrum disorder (ASD) based on voxel-based morphometry (VBM), and to explore the feasibility of early diagnosis of ASD by magnetic resonance imaging (MRI) preliminarily.Materials and Methods: One to three years old children diagnosed first with ASD and age and gender matched normal children were scanned by MRI with high resolution 3D T1WI. Based on the statistical parameter graph (SPM12) with toolkit CAT12 of matlab2012b, VBM was used to analyze 3D T1WI images and the volume of each brain regions were calculated. The two sample t test was used to analyze differences of the volume of the whole brain and each brain regions.Results: There were eligible 17 cases in ASD group [All were male, with an average age of (28.9±9.5) months ranging from 12 to 34 months] and 12 cases in control group [All were male, with an average age of (28.6±10.5) months ranging from 13 to 35 months]. Compared with the control, the gray matter volume and cerebral cortex thickness of the ASD group were larger, and the cerebrospinal fluid volume was smaller (P<0.05).The volume of gray matter in left posterior central gyrus, right inferior parietal gyrus and left inferior frontal gyrus were showed increased in 1—3 years old children with ASD (P<0.001, Nuclear group> 100 voxels).Conclusions: There are certain characteristics of morphological abnormalities of brain in 1—3 years old children with ASD. MRI is expected to be a method of early diagnosis of ASD.
[Keywords] autism spectrum disorder;magnetic resonance imaging;voxel-based morphometry;early diagnosis

LIU Bingguang Department of Radiology, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen 518028, China

CAO Manrui* Department of Radiology, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen 518028, China

ZHU Zhijun Department of Radiology, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen 518028, China

LIU Yang Department of Radiology, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen 518028, China

WAN Guobin Department of Child Psychology and Rehabilitation, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen 518028, China

*Correspondence to: Cao MR, lbg379@163.com

Conflicts of interest   None.

Received  2020-06-29
Accepted  2020-09-30
DOI: 10.12015/issn.1674-8034.2020.11.007
Cite this article as: Liu BG, Cao MR, Zhu ZJ, et al. Magnetic resonance imaging on morphological abnormalities of brain in 1—3 years old children with autism spectrum disorder. Chin J Magn Reson Imaging, 2020, 11(11): 990-993, 998. DOI:10.12015/issn.1674-8034.2020.11.007.

[1]
Loussouarn A, Dozières-Puyravel B, Auvin S. Autistic spectrum disorder and epilepsy: diagnostic challenges. Expert review of neurotherapeutics, 2019, 6(19): 579-585. DOI: 10.1080/14737175.2019.1617699
[2]
马博森,曾小荣,龚然.国外自闭症人群多模态话语及智能辅助诊断与干预研究.语言战略研究, 2020, 5(2): 51-60. DOI: 10.19689/j.cnki.cn10-1361/h.20200204
[3]
王芳,杨广学.国内自闭症干预与康复现状调查与分析.医学与哲学, 2017, 38(10): 49-54. DOI: 10.12014/j.issn.1002-0772.2017.10b.15
[4]
American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th Arlington VA, 2013: 50-58.
[5]
Tsai, Luke Y. Sensitivity and Specificity: DSM-IV versus DSM-5 criteria for autism spectrum disorder. Am J Psychiatry, 2012, 169(10): 1009-1011. DOI: 10.1176/appi.ajp.2012.12070922
[6]
Tang GM, Gudsnuk K, Kuo SH, et al. Loss of mTOR-dependent macroautophagy causes autistic-like synaptic pruning deficits. Neuron, 2014, 83(5): 1131-43. DOI: 10.1016/j.neuron.2014.07.040
[7]
Rong C, Yun J, Edward H, et al. Structural MRI in autism spectrum disorder. Pediatr Res, 2011, 69(5): 63-68. DOI: 10.1203/PDR.0b013e318212c2b3
[8]
Vincent T, Mensen, Lara M. Development of cortical thickness and surface area in autism spectrum disorder. NeuroImage, 2017, 13(13): 215-22. DOI: 10.1016/j.nicl.2016.12.003
[9]
Beacher FD, Minati L, Baron S, et al. Autism attenuates sex differences in brain structure : a combined voxel-based morphometry and diffusion tensor imaging study. Am J Neuroradiol, 2012, 33(1): 83-89. DOI: 10.3174/ajnr.A2880
[10]
陈静,李欣,王春祥,等.应用IBASPM分析孤独症儿童脑灰质结构改变.中国临床医学影像杂志, 2016, 27(5): 309-313.
[11]
刘阳,朱志军,曹满瑞,等.自闭症儿童早期大脑过度发育的sMRI研究.磁共振成像, 2020, 11(4): 264-269. DOI: 10.12015/issn.1674-8034.2020.04.005
[12]
Ecker C, Murphy D. Neuroimaging in autism-from basic science to translational research. Nat Rev Neurol, 2014, 10(2): 82-91. DOI: 10.1038/nrneurol.2013.276
[13]
代海洋,黎倩仪,李胜开,等.磁共振波谱定量检测孤独症患儿基底节区代谢特征.磁共振成像, 2017, 8(1): 8-12. DOI: 10.12015/issn.1674-8034.2017.01.003
[14]
储康康,梁凤晶,肖湘,等. 2~3岁孤独谱系障碍儿童突显网络的磁共振研究.中国心理卫生杂志, 2014, 28(11): 817-822. DOI: 10.3969/j.issn.1000-6729.2014.11.004
[15]
Fletcher P, Whitaker R, Tao R, et al. Microstructural connectivity of the arcuate fasciculus in adolescents with high-functioning autism. Neuroimage2010, 51(3), 1117-1125. DOI: 10.1016/j.neuroimage.2010.01.083
[16]
陈磊,王佳,付旷,等. 3~8岁孤独症谱系障碍男童脑灰质体积的病例对照研究.中国儿童保健杂志, 2017, 25(7): 656-659, 6.
[17]
Barnea N, Frazier T, Piacenza L, et al. A preliminary longitudinal volumetric MRI study of amygdala and hippocampal volumes in autism. Prog Neuropsychopharmacol Biol Psychiatry, 2014, 48(48): 124-128. DOI: 10.1016/j.pnpbp.2013.09.010
[18]
王慧,李雪,刘靖,等. 6~18岁高功能孤独症患者脑灰质异常的磁共振成像研究.中国心理卫生杂志, 2017, 31(10): 775-780. DOI: 10.3969/j.issn.1000-6729.2017.10.005
[19]
Hazlett HC, Gu HB, Munsell BC, et al. Early brain development in infants at high risk for autism spectrum disorder. Nature, 2017, 542(16): 348-362. DOI: 10.1038/nature21369

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