新生儿胼胝体大小及形状与胎龄的相关性研究

doi:10.13418/j.issn.1001-165x.2014.01.008

Abstract

Abstract:

Objective 　The aim of this study was to study the pattern of callosal development by MRI to investigate neonatal corpus callosum size and shape in different gestational ages and to analyze the relationship between the area, eccentricity ratio and posterior skew of neonatal corpus callosum and gestational age, so that reference for early evaluation of the development of brain can be provided. Method 286 eligible high field brain MR images of neonates were selected. All corpus callosums were sketched in the MR images. And then, all data were analyzed by Image Processing Function of MATLAB R2010a. Corpus callosum area, eccentricity ratio and skew in 286 neonates were obtained and analyzed statistically, respectively. Result Pearson correlation analysis indicated the positive linear correlation between the corpus callosum area and gestational age (r=0.61, P<0.001). The corpus callosum area formed a quadratic curve with the gestational age, which was Y=0.132X2-6.179X+141.759(R2=0.37, P＜0.001). Spearman rank correlation analysis indicated the positive linear correlation between the eccentricity ratio of corpus callosum and gestational age (r=0.25，P＜0.001). The eccentricity ratio of corpus callosum formed a linear equation with the gestational age, which was Y=0.009X+0.319 (R2=0.07，P＜0.001). Pearson correlation analysis indicated the positive linear correlation between the skew of posterior corpus callosum and gestational age (r=0.27，P＜0.001). The skew of posterior corpus callosum formed a linear equation with the gestational age, which was Y=0.005X+0.349 (R2=0.07，P＜0.001). Conclusion The results of this study suggest that the smaller the gestational age of the newborn, the smaller and circular the corpus callosum.

Key words: Brain, Corpus callosum, Magnetic resonance imaging, Neonate, Gestational age

CLC Number:

R722.19

LIU Rui-Ge, LIU Fang, LIN Chang-Jun, LI Jian-Yang, TUN Xiu-Fang. The relationship between the size, shape of corpus callosum and gestational age in neonatal infants[J]. Chinese Journal of Clinical Anatomy, 2014, 32(1): 31-35.

References

[1] Thompson DK, Inder TE, Faggian N, et al. Characterization of the corpus callosum in very preterm and full-term infants utilizing MRI
[J]. Neuroimage, 2011, 55(2): 479-490.

[2] Ding XQ, Sun Y, Braass H, et al. Evidence of rapid ongoing brain development beyond 2 years of age detected by fiber tracking
[J]. Am J Neuroradiol, 2008, 29(7): 1261-1265.

[3] Anderson NG, Laurent I, Woodward LJ, et al. Detection of impaired growth of the corpus callosum in premature infants
[J]. Pediatrics, 2006, 118(3): 951-960.

[4] Fine JG, Semrud-Clikeman M, Keith TZ, et al. Reading and the corpus callosum: An MRI family study of volume and area
[J]. Neuropsychology, 2007, 21(2): 235-241.

[5] Hutchinson AD, Mathias JL, Jacobson BL, et al. Relationship between intelligence and the size and composition of the corpus callosum
[J]. Exp Brain Res, 2009, 192(3): 455-464.

[6] van Kooij BJM, van Handel M, Uiterwaal CSPM, et al. Corpuscallosum size in relation to motor performance in 9-to 10-year-old children with neonatal encephalopathy
[J]. Pediatr Res, 2008, 63(1): 103-108.

[7] Thompson DK, Inder TE, Faggian N, et al. Corpus callosum alterations in very preterm infants: perinatal correlates and 2 year neurodevelopmental outcomes
[J]. Neuroimage, 2012, 59(4):3571-3581.

[8] Hasegawa T, Yamada K, Morimoto M, et al. Development of corpus callosum in preterm infants is affected by the prematurity: in vivo assessment of diffusion tensor imaging at term-equivalent age
[J]. Pediatr Res, 2011, 69(3):249-254.

[9] Fitzgibbon A, Pilu M, Fisher R B. Direct least square fitting of ellipses
[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1999, 21(5): 476-480.

[10]Aboitiz F, Rodriguez E, Olivares R, et al. Age-related changes in fibre composition of the human corpus callosum: sex differences
[J]. Neuroreport, 1996, 7(11): 1761-1764.

[11]Narberhaus A, Segarra D, Caldú X, et al. Corpus callosum and prefrontal functions in adolescents with history of very preterm birth
[J]. Neuropsychologia, 2008, 46(1): 111-116.

[12]Santhouse AM, Howard RJ, Williams SCR, et al. The functional significance of perinatal corpus callosum damage: an fMRI study in young adults
[J]. Brain, 2002, 125(8): 1782-1792.

[13]Tomaiuolo F, Scapin M, Di Paola M, et al. Gross anatomy of the corpus callosum in Alzheimer’s disease: regions of degeneration and their neuropsychological correlates
[J]. Dement Geriatr Cogn Disord, 2007, 23(2): 96-103.

[14]Bookstein FL, Connor PD, Huggins JE, et al. Many infants prenatally exposed to high levels of alcohol show one particular anomaly of the corpus callosum
[J]. Alcohol Clin Exp Res, 2007, 31(5): 868-879.

[15]Tomaiuolo F, Di Paola M, Caravale B, et al. Morphology and morphometry of the corpus callosum in Williams syndrome: A T1-weighted MRI study
[J]. Neuroreport, 2002, 13(17): 2281-2284.

[16]Downhill JE, Buchsbaum MS, Wei T, et al. Shape and size of the corpus callosum in schizophrenia and schizotypal personality disorder
[J]. Schizophr Res, 2000, 42(3): 193-208.

[17]Giedd JN, Blumenthal J, Jeffries NO, et al. Development of the human corpus callosum during childhood and adolescence: a longitudinal MRI study
[J]. Prog Neuro-psychopharmacol Biol Psychiatry, 1999, 23(4): 571-588.

[18]Lenroot RK, Gogtay N, Greenstein DK, et al. Sexual dimorphism of brain developmental trajectories during childhood and adolescence
[J]. Neuroimage, 2007, 36(4): 1065-1073.

[19]Hasan KM, Kamali A, Kramer LA, et al. Diffusion tensor quantification of the human midsagittal corpus callosum subdivisions across the lifespan
[J]. Brain Res, 2008, 1227: 52-67.

The relationship between the size, shape of corpus callosum and gestational age in neonatal infants

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0

[1]	Liu Zhan, Tao Shengzhong, Lu Huipeng, Wang Zaibin, Sui Yubo, Niu Guangming. The differences of neurovascular compression in patients with or without primary trigeminal neuralgia by three-dimensional observation [J]. Chinese Journal of Clinical Anatomy, 2023, 41(6): 667-674.
[2]	Xia Zhenyuan, Lan Lan, Mo Xinxin, Yang Chen, Yu Xiaoping, Li Min. Assessment of anterior cruciate ligament degenerative injury by diffusion kurtosis imaging [J]. Chinese Journal of Clinical Anatomy, 2023, 41(5): 527-530.
[3]	Li Yanran, Wang Jian, Xu Caixia, Jin Yong. Prediction of EGFR and HER2 expression in brain metastases based on different radiomics interpolator: a two-center study [J]. Chinese Journal of Clinical Anatomy, 2023, 41(5): 608-613.
[4]	Jia Wenji, Wu Chunyun. The immune mechanisms of “microglia- leucocyte axis” in the development brain under brain damage [J]. Chinese Journal of Clinical Anatomy, 2023, 41(5): 619-622.
[5]	Zhou Qian, Li Lixia, Yang Xiaoxia, Yang Junhua, Wen Jinkun, Li Pengfei, Luo Li, Li Guoying. Macamide B promoting the expression of PGRN in hypoxic-ischemic brain damage neonatal mice [J]. Chinese Journal of Clinical Anatomy, 2023, 41(3): 304-309.
[6]	Li Mingzhe, Wang Tao, Cong Peijie, Wang Chengtao, Liu Xiaoliu. The specimen preparation for a modular brain complex [J]. Chinese Journal of Clinical Anatomy, 2023, 41(3): 365-366.
[7]	Zhao Zhiheng, Wu Yue, Zhang Jing, Yang Zitao, Zhang Qinyong, Wang Qingwei, Cheng Jingliang , Che Yingyu. Comparative study of anatomical structure and functional characteristics of pelvic floor in normal young men and women by static and dynamic magnetic resonance imaging [J]. Chinese Journal of Clinical Anatomy, 2023, 41(2): 143-149.
[8]	Wu Deye, Cao Yan, Li Hengxi, Wu Douwei, Li Jiali, Ling Tenghan, Wu Haiying, Li Ping. Effects of cannabidiol on AQP4 expression in brain tissue of rats with traumatic brain injury [J]. Chinese Journal of Clinical Anatomy, 2023, 41(2): 178-181.
[9]	Sun Shanshan, Tian Mimi, Zhao Peng, Cai Shuo, Yang Tao, Yang Yongqing, Ma Wenjing, Lin Xiangtao. MRI study of the effect of isolated unilateral ventriculomegaly on the volume of brain parenchyma [J]. Chinese Journal of Clinical Anatomy, 2023, 41(1): 15-19.
[10]	Fan Wenke, Zhu Keming, Li Wensheng. A method of fixation of brain specimens based on clinical neurosurgery training [J]. Chinese Journal of Clinical Anatomy, 2022, 40(5): 622-623.
[11]	Zhang Lei, Zhang Huaqiang, Jin Yufeng, Zhang Mengyao, Zhou Xin, Li Bingkun, Tang Xiaogao. Analysis on the anatomical parameters of coracoclavicular ligament based on MRI [J]. Chinese Journal of Clinical Anatomy, 2022, 40(3): 259-262.
[12]	Li Shujing, Meng Chen, Gao Yingying, Wei Enhua, Qu Songlin, Guo Yinghui. Advances in imaging based brain pathology of PMS/PMDD [J]. Chinese Journal of Clinical Anatomy, 2022, 40(3): 372-375.
[13]	Wang Changqing, Yang Rongli, Fu Shengqi. Diffusion tensor imaging observation in the postoperative and follow-up of anterior cruciate ligament reconstruction [J]. Chinese Journal of Clinical Anatomy, 2021, 39(5): 552-556.
[14]	Zhu Yu , Wei Jing , Wu Pengcheng , Yuan Xiao , Zhou Zhenhua, Li Min . Anisodamine relieves hypoxic-ischemic brain damage and neurologic impairment in young rats [J]. Chinese Journal of Clinical Anatomy, 2021, 39(5): 557-562.
[15]	Wang Changqing, Yang Rongli, Fu Shengqi. Diffusion tensor tractography imaging observation and clinical application of the anterior cruciate ligament [J]. Chinese Journal of Clinical Anatomy, 2021, 39(4): 405-409.