夜间遗尿症儿童脑网络频率依赖性度中心性特征

doi:10.11852/zgetbjzz2021-0003

中国儿童保健杂志 ›› 2021, Vol. 29 ›› Issue (11): 1167-1171.DOI: 10.11852/zgetbjzz2021-0003

夜间遗尿症儿童脑网络频率依赖性度中心性特征

郑翔宇¹, 孙家伟², 贾熙泽^3,4, 吕亚婷^3,4, 王梦星⁵, 马骏¹

1.国家儿童医学中心,上海交通大学医学院附属上海儿童医学中心发育行为儿科,上海 200127;
2.佳木斯大学信息与电子技术学院;
3.杭州师范大学心理科学研究院;
4.浙江省认知障碍与评估研究重点实验室;
5.上海健康医学院医学影像学院

收稿日期:2021-01-03 修回日期:2021-03-25 发布日期:2021-11-05 出版日期:2021-11-10
通讯作者: 马骏,E-mail: majun@shsmu.edu.cn
作者简介:郑翔宇(1994-),女,硕士研究生在读,主要研究方向为儿童发育行为。
基金资助:
浦东新区科技发展基金(PKJ2017-Y06);2018年度上海市医学引导类(中、西医)科研支撑项目(18411960200);2020上海市自然科学基金项目(20ZR1434700)

Frequency-dependent changes in the degree centrality in children with nocturnal enuresis

ZHENG Xiang-yu^*, SUN Jia-wei, JIA Xi-ze, LYU Ya-ting, WANG Meng-xing, MA Jun

^*Department of Developmental and Behavioral Pediatrics, Shanghai Children′s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China

Received:2021-01-03 Revised:2021-03-25 Online:2021-11-10 Published:2021-11-05
Contact: MA Jun,E-mail: majun@shsmu.edu.cn

摘要/Abstract

摘要： 目的在不同频段探索夜间遗尿症(NE)儿童脑网络信号传递特点,找到异常脑区,为后续精准治疗提供理论依据。方法采用病例对照研究,根据国际儿童尿控协会(ICCS)的标准入组2016—2018年上海儿童医学中心就诊的129名NE患儿和37名正常儿童。在经典频段(0.01~0.08 Hz)和频段5(0.010~0.027 Hz)分析两组儿童度中心性(DC)特点,并采用t检验比较不同频段下的两组差异性。使用高斯随机场(GRF)理论对结果进行校正(体素P<0.05,团块P<0.05)。结果在典型频段中,NE患儿在左侧中央沟盖(t=4.469 9,GRF矫正体素 P<0.05,团块P<0.05)、右侧中央沟盖(t=4.351 6,GRF矫正体素 P<0.05,团块P<0.05)、内侧和旁扣带回(t=4.139 7,GRF矫正体素 P<0.05,团块P<0.05) DC显著升高,右侧回直肌(t=-4.127 2,GRF矫正体素 P<0.05,团块P<0.05)和左侧额中回中DC降低(t=-4.835 5,GRF矫正体素 P<0.05,团块P<0.05)。在子频段中,左侧丘脑DC值升高(t=3.905 4,GRF矫正体素 P<0.05,团块P<0.05),右侧眶部额上回DC值降低(t=-4.509 6,GRF矫正体素 P<0.05,团块P<0.05)。结论频段5中DC值异常的脑区与儿童排尿功能的调节直接相关,经典频段中的脑区功能还有待进一步研究。左侧丘脑DC值的增加和额中回的DC值降低,可能影响儿童排尿网络的信息传递,造成夜间遗尿的发生。

关键词: 夜间遗尿症, 脑网络, 度中心性, 频率依赖性, 儿童

Abstract: Objective To explore the characteristics of brain network signal transmission in children with nocturnal enuresis (NE) in different frequency bands, and to find abnormal brain areas, so as to provide theoretical basis for follow-up precision treatment. Methods A case-control study was adopted. According to the criteria of the International Children′s Continence Society (ICCS), 129 children with NE and 37 children without enuresis in Shanghai Children′s Medical Center were enrolled in this study from 2016 to 2018. Degree centrality (DC) was analyzed in the typical band (0.01-0.08 Hz) and in slow 5 (0.010-0.027 Hz). T test were used to compare the differences between the two groups in the different frequency bands. Results were corrected using Gaussian random field (GRF) theory (P<0.05 for voxels and P<0.05 for clusters). Results In the typical frequency band, children with enuresis had significantly higher DCs in the left rolandic operculum (t=4.469 9, GRF corrected P<0.05 for voxel, P<0.05 for clusters), right rolandic operculum(t=4.351 6, GRF corrected P<0.05 for voxel, P<0.05 for clusters) and left middle cingulate gyrus (t=4.139 7, GRF corrected P<0.05 for voxel, P<0.05 for clusters), while lower DCs in the right gyrus rectus (t＝-4.127 2, GRF corrected P<0.05 for voxel, P<0.05 for clusters) and the left middle frontal gyrus (t＝-4.835 5, GRF corrected P<0.05 for voxel, P<0.05 for clusters). In sub-bands, DC values of children with nocturnal enuresis were increased in the left thalamus (t=3.905 4, GRF corrected P<0.05 for voxel, P<0.05 for clusters) and decreased in the right superior frontal gyrus, orbital part (t＝-4.509 6, GRF corrected P<0.05 for voxel, P<0.05 for clusters). Conclusions Brain regions with abnormal DC values in band 5 are directly related to the regulation of voiding function in children, according to previous study. And the function of brain regions in the typical band needs to be further investigated. Increased DC values in the left thalamus and decreased DC values in the frontal middle gyrus may affect the transmission of information in the voiding network of children, which may contribute to the occurrence of nocturnal enuresis.

Key words: nocturnal enuresis, brain network, degree centrality, frequency-dependent, children

中图分类号:

726.9

郑翔宇, 孙家伟, 贾熙泽, 吕亚婷, 王梦星, 马骏. 夜间遗尿症儿童脑网络频率依赖性度中心性特征[J]. 中国儿童保健杂志, 2021, 29(11): 1167-1171.

ZHENG Xiang-yu, SUN Jia-wei, JIA Xi-ze, LYU Ya-ting, WANG Meng-xing, MA Jun. Frequency-dependent changes in the degree centrality in children with nocturnal enuresis[J]. Chinese Journal of Child Health Care, 2021, 29(11): 1167-1171.

参考文献

[1] Ma J, Li S, Jiang F, et al. Relationship between sleep patterns, sleep problems, and childhood enuresis[J]. Sleep Med, 2018,50:14-20.
[2] 儿童遗尿症诊断和治疗中国专家共识[J]. 中华医学杂志, 2019(21):1615-1620.
[3] Lei D, Ma J, Du X, et al. Spontaneous brain activity changes in children with primary monosymptomatic nocturnal enuresis: a resting-state fMRI study[J]. Neurourol Urodyn, 2012,31(1):99-104.
[4] Jiang K, Yi Y, Ding L, et al. Degree centrality of key brain regions of attention networks in children with primary nocturnal enuresis: A resting-state functional magnetic resonance imaging study[J]. Int J Dev Neurosci, 2019,79:32-36.
[5] Vecchio F, Miraglia F, Maria RP. Connectome: Graph theory application in functional brain network architecture[J]. Clin Neurophysiol Pract, 2017,2:206-213.
[6] Zuo XN, Ehmke R, Mennes M, et al. Network centrality in the human functional connectome[J]. Cereb Cortex, 2012,22(8):1862-1875.
[7] Zuo XN, Di Martino A, Kelly C, et al. The oscillating brain: complex and reliable[J]. Neuroimage, 2010,49(2):1432-1445.
[8] Austin PF, Bauer SB, Bower W, et al. The standardization of terminology of lower urinary tract function in children and adolescents: Update report from the standardization committee of the International Children′s Continence Society[J]. Neurourol Urodyn, 2016,35(4):471-481.
[9] Yan CG, Wang XD, Zuo XN, et al. DPABI: Data processing & analysis for (resting-state) brain imaging[J]. Neuroinformatics, 2016,14(3):339-351.
[10] Jiang K, Ding L, Li H, et al. Degree centrality and voxel-mirrored homotopic connectivity in children with nocturnal enuresis: A functional MRI study[J]. Neurol India, 2018,66(5):1359-1364.
[11] Chen H, Duan X, Liu F, et al. Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity-A multi-center study[J]. Prog Neuropsychopharmacol Biol Psychiatry, 2016,64:1-9.
[12] Zhang Y, Yang R, Cai X. Frequency-specific alternations in the moment-to-moment BOLD signals variability in schizophrenia[J]. Brain Imaging Behav, 2020,15(1):68-75.
[13] Yu R, Chien YL, Wang HL, et al. Frequency-specific alternations in the amplitude of low-frequency fluctuations in schizophrenia[J]. Hum Brain Mapp, 2014,35(2):627-637.
[14] Aldemir R, Demirci E, Per H, et al. Investigation of attention deficit hyperactivity disorder (ADHD) sub-types in children via EEG frequency domain analysis[J]. Int J Neurosci, 2018,128(4):349-360.
[15] Xue S, Wang X, Wang W, et al. Frequency-dependent alterations in regional homogeneity in major depression[J]. Behav Brain Res, 2016,306:13-19.
[16] Stice E, Spoor S, Ng J, et al. Relation of obesity to consummatory and anticipatory food reward[J]. Physiol Behav, 2009,97(5):551-560.
[17] Zhang R, Geng X, Lee T. Large-scale functional neural network correlates of response inhibition: An fMRI Meta-analysis[J]. Brain Struct Funct, 2017,222(9):3973-3990.
[18] de Groat WC,Griffiths D,Yoshimura N.Neural control of the lower urinary tract[J]. Compr Physiol, 2015,5(1):327-396.
[19] Crossley NA, Mechelli A, Scott J, et al. The hubs of the human connectome are generally implicated in the anatomy of brain disorders[J]. Brain, 2014,137(Pt 8):2382-2395.
[20] Zhang A, Zhang L, Wang M, et al. Functional connectivity of thalamus in children with primary nocturnal enuresis:results from a resting-state fMRI study[J]. Brain Imaging Behav, 2020,15(1):355-363.
[21] Yu B, Xiao S, You Y, et al. Abnormal thalamic functional connectivity during light non-rapid eye movement sleep in children with primary nocturnal enuresis[J]. J Am Acad Child Adolesc Psychiatry, 2020,59(5):660-670.
[22] Wang S, Zhao Y, Zhang L, et al. Stress and the brain: Perceived stress mediates the impact of the superior frontal gyrus spontaneous activity on depressive symptoms in late adolescence[J]. Hum Brain Mapp, 2019,40(17):4982-4993.
[23] Schmidt C, Nitschke K, Bormann T, et al. Dissociating frontal and temporal correlates of phonological and semantic fluency in a large sample of left hemisphere stroke patients[J]. Neuroimage Clin, 2019,23:101840.
[24] Ino T, Asada T, Ito J, et al. Parieto-frontal networks for clock drawing revealed with fMRI[J]. Neurosci Res, 2003,45(1):71-77.

夜间遗尿症儿童脑网络频率依赖性度中心性特征

Frequency-dependent changes in the degree centrality in children with nocturnal enuresis

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	向伟. 儿童青少年脂质异常血症早期预防与成人期心血管健康[J]. 中国儿童保健杂志, 2023, 31(7): 697-702.
[2]	吴婷, 李斐. 生命早期不利因素与慢性疾病的发生与预防[J]. 中国儿童保健杂志, 2023, 31(7): 703-706.
[3]	刘浩东, 李成, 赵敏, 席波. 儿童期腹型肥胖及其腹型肥胖前期与高尿酸血症的关联研究[J]. 中国儿童保健杂志, 2023, 31(7): 707-712.
[4]	刘敏, 张倩, 杨亭, 陈洁, 陈立, 代英, 贾飞勇, 武丽杰, 郝燕, 李玲, 张婕, 柯晓燕, 衣明纪, 洪琦, 陈津津, 方拴锋, 王益超, 王琦, 金春华, 李廷玉. 全国多中心学龄前儿童血清叶酸现况调查[J]. 中国儿童保健杂志, 2023, 31(7): 713-717.
[5]	霍言言, 刘钟泠, 马玲, 吴丹, 汪秀莲, 仇晓艳, 窦家莹, 任玉倩, 李亦诚, 洪霞, 陈津津. 真实世界2岁以下儿童不同体型匀称度现况及风险因素[J]. 中国儿童保健杂志, 2023, 31(7): 718-723.
[6]	刘慧娟, 宋志霄, 高南南, 张莉, 孙瑾, 乔秀芸, 柯佳媚, 李燕. 2～6岁儿童词汇和语法发展现状及相关因素分析[J]. 中国儿童保健杂志, 2023, 31(7): 724-730.
[7]	李荣, 李年, 吴丹丹, 黄荣, 陈银花. 盐酸哌甲酯缓释片对注意缺陷多动障碍儿童生长的影响[J]. 中国儿童保健杂志, 2023, 31(7): 731-735.
[8]	张超. 早期介入丹佛模式在不同病情程度孤独症谱系障碍儿童康复中的应用研究[J]. 中国儿童保健杂志, 2023, 31(7): 736-740.
[9]	杨钰儒, 王红, 许树红, 曹艳梅, 孟仙, 葛冬梅. 0～14岁儿童骨骼发育与维生素K的关联研究[J]. 中国儿童保健杂志, 2023, 31(7): 746-750.
[10]	叶芝旭, 余福勋. 肠道微生物与儿童呼吸道病毒感染的研究进展[J]. 中国儿童保健杂志, 2023, 31(7): 766-769.
[11]	曹慧, 严双琴, 关宏岩. 亲子互动对儿童早期发展结局的影响[J]. 中国儿童保健杂志, 2023, 31(7): 770-774.
[12]	张容, 吴襄仪, 朱一民, 朱文丽, 《儿童肥胖预防与控制指南》修订委员会. 就餐地点与儿童肥胖的定性循证研究[J]. 中国儿童保健杂志, 2023, 31(7): 775-780.
[13]	李玮玮, 张丹丹, 刘晓鸣, 陈娇, 夏露. 探讨基于互联网技术的长程管理模式在难治性癫痫患儿中的应用研究[J]. 中国儿童保健杂志, 2023, 31(7): 781-784.
[14]	朱丽君, 李彪章, 周嘉雯, 吴柏欣, 李卫东. 1990—2019年中国5岁以下儿童低体重疾病负担分析[J]. 中国儿童保健杂志, 2023, 31(7): 790-793.
[15]	曹亚船, 豆吉娟, 马亚萍, 任金冬, 陈新颜. 肥胖儿童脂质代谢与左心室肥厚及左心室重构的相关性[J]. 中国儿童保健杂志, 2023, 31(7): 809-812.