|本期目录/Table of Contents|

[1]王浩然,张 希,王天月,等.屈光参差性弱视儿童脑网络功能连接的fMRI研究[J].天津医科大学学报,2018,24(06):484-488.
　WANG Hao-ran,ZHANG Xi,WANG Tian-yue,et al.fMRI study of brain functional connectivity in children with anisometropicamblyopia[J].Journal of Tianjin Medical University,2018,24(06):484-488.
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屈光参差性弱视儿童脑网络功能连接的fMRI研究(PDF)
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《天津医科大学学报》[ISSN:1006-8147/CN:12-1259/R]

卷:
24卷
期数:
2018年06期
页码:
484-488
栏目:
基础医学
出版日期:
2018-11-20

文章信息/Info

Title:
fMRI study of brain functional connectivity in children with anisometropicamblyopia
作者:
王浩然1; 张 希1; 王天月2; 李 倩3; 李青吉4; 郭明霞1
（1.天津医科大学医学影像学院，天津300203，2.天津市泰达医院设备科，天津 300457，3.天津市肿瘤医院放射科，天津 300060，4.天津市爱尔眼科医院综合科，天津 300384）
Author(s):
WANG Hao-ran1; ZHANG Xi1; WANG Tian-yue2; LI Qian3; LI Qing-ji4; GUO Ming-xia1
（1.School of Medical Imaging, Tianjin Medical University, Tianjin 300203, China; 2. Department of Equipment, TEDA Hospital, Tianjin 300457, China; 3.Department of Radiology, Tianjin Cancer Hospital, Tianjin 300060, China; 4. Department of General, Tianjin Aier Eye Hospital, Tianjin 300384, China）
关键词:
屈光参差性弱视; fMRI; 静息态功能连接; 多变量模式分析; 目标导向认知
Keywords:
anisometropic amblyopia;  fMRI; resting-state functional connectivity;  multivariate pattern analysis;  goal-directed cognition
分类号:
R445.2
DOI:
-
文献标志码:
A
摘要:
目的：探索屈光参差性弱视患者静息状态下脑网络内及网络间功能连接的变化，为进一步了解弱视对脑功能的影响提供实验依据。方法：采集14名屈光参差性弱视儿童(AAC)和9名正常视力儿童(NSC)的静息态功能磁共振图像，提取其静息态功能连接(rsFC)作为特征，采用多变量模式分析进行分类，并使用单变量分析进行组间比较。结果：多变量模式分析对弱视儿童和正常视力儿童分类的正确率显著较高；弱视儿童组的默认网络内，默认网络与额顶控制网络及背侧注意网络之间的rsFC减弱。结论：基于rsFC的多变量模式分析可以将弱视儿童识别出来；弱视儿童组减弱的rsFC提示弱视儿童在调节外部和内部目标导向认知之间的动态平衡及相互转换以适应任务需求的能力减弱。
Abstract:
Objective: To investigate the changes in functional connectivity of intra- and inter-networks in anisometropic amblyopia and to provide an experimental basis for further understanding the influence of amblyopia on brain function.Methods: The resting state functional magnetic resonance images of 14 anisometropic amblyopic children (AAC) and 9 normal-sight children(NSC) were selected to measure the resting state functional connectivity (rsFC).Multivariate pattern analysis was conducted for classification, and univariate analysis was performed for group comparisons. Results: The accuracy of multivariate pattern analysis in classifying AAC and NSC was significantly higher. AAC showed decreased rsFC within the default mode network (DMN), as well as between the DMN and the frontal control network (FPCN), and the dorsal attention network (DAN). Conclusion: AAC can be identified by multivariate pattern analysis based on the rsFC, and the decreased rsFC in the AAC group may indicate weakened ability to transform and mediate the dynamic balance between internally and externally goal-directed cognition to meet task demands in amblyopia.

参考文献/References:


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备注/Memo

备注/Memo:
基金项目 基金项目国家自然科学基金青年基金(81401380)；天津医科大学基本科研业务费资助项目(2013KYQ21)
作者简介 王浩然(1990-)，女，硕士在读，研究方向：脑功能成像；通信作者：郭明霞，E-mail: guomx11@163.com。
更新日期/Last Update: 2018-11-30