基于功能连接的屈光参差性弱视视觉网络损伤研究

目的基于功能连接算法分析屈光参差性弱视和正常对照组的功能性磁共振成像(functional magnetic resonance imaging,fMRI)数据,通过对比弱视患者脑部自发活动的视觉网络功能连接异常,揭示其视觉损伤机制。方法在闭眼静息条件下采集21名弱视成年人和21名正常对照组的fMRI数据,进行去噪、校正等预处理后,计算初级视觉网络、高级视觉网络和视觉空间网络3个典型的视觉网络内和网络间的功能连接系数,并采用双样本t检验进行统计分析。结果屈光参差性弱视与正常对照组在初级视觉网络中差异无统计学意义,在高级视觉网络和视觉空间网络中差异具有统计学意义,并且它们网络之间的功能连接差异也无统计学意义。结论基于功能连接的静息态功能磁共振分析是有效的非侵入式脑区功能性连接异常研究方法,能够反映屈光参差性弱视不同视觉网络的自发脑部活动脑区异常表现,对于弱视致病机制模型研究和提出新的治疗方法都有重要启发。

Research on visual network of anisometropic amblyopia with functional connectivity

Objective In resting-state functional magnetic resonance imaging ( fMRI ) study, spontaneous activity patterns changed in anisometropic amblyopia could be reflected by the abnormalities of functional connectivity in visual network. Methods Twenty one adult anisometropic amblyopia and 21 normal controls participated in this study. Preprocessing with denoising and alignment, the fMRI data was analyzed to get functional connectivity value in three visual networks: the visuospatial network ( VSN ) , the high-level visual network ( HVN) and the primary visual network ( PVN) . Two sample t test was carried out to analysis functional connectivity value within the whole brain for the inter groups. Results We found a significant loss of correlation within VSN and HVN but not in PVN, and further the correlation between the VSN-HVN was also significant. Conclusions Functional connectivity is an effective noninvasive algorithm, which can help to exploring spontaneous patterns changes in amblyopia. And multiple area existed patterns abnormal and some of them may relate to the functional connectivity. These results have important implications for models of amblyopia and approaches to treatment.