基于fMRI的屈光参差性弱视静息视觉网络的研究

利用静息功能磁共振成像技术，对屈光参差性弱视(anisometropic amblyopia)患者静息态视觉网络进行研究，分析此类患者大脑视觉皮层功能受到的影响。采用独立成分分析(independent component analysis, ICA)这一数据驱动方法对8名屈光参差性弱视患者和11名正常对照的静息数据进行分离，并采用拟合度值(goodness-of-fit scores)分析挑选出静息视觉网络，将结果进行组内分析和组间分析。结果表明，屈光参差性弱视的静息视觉网络中，多级视觉皮层均发生了明显的功能损害，其功能连接度的范围与强度显著低于正常组，而且，高级别纹外皮层比低级别纹状皮层损害更加明显。静息fMRI为深入研究弱视初、高级视觉皮层功能损害的发病机制提供了新的方法。

Study on The “Resting-state Visual Network” in Patients with Anisometropic Amblyopia Based on fMRI

In this paper, the resting-state visual network of the anisometropic amblyopia patients was studied and the influence of anisometropic amblyopia on different level of visual cortex was assessed using the resting-state functional MRI. Independent component analysis (ICA) was used to separate the fMRI data of 8 patients with anisometropic amblyopia and 11 healthy controls, and a goodness-of-fit analysis was applied at the individual subject level to choose the resting-state visual network. Intra-group analysis and inter-group analysis were performed. The results show that there are remarkable deficits on different levels of visual cortex in anisometropic amblyopia predominantly in the extrastriate cortex rather than the striate cortex. The resting-state fMRI provides a new way to investigate visual cortex deficits in amblyopia.