Aphasia with language barriers is caused by brain lesions, which also involveimpaired capabilities of understanding and formation of language symbols, impairedcapabilities of language component decoding and encoding. In the previous studies, it iscommon to utilize neuropsychological means to study the pathological features ofaphasia, but with emerging technology of magnetic resonance imaging technologyresearching aphasia fewer. Our paper makes use of the technique of voxel-basedmorphological analysis to anomic aphasia. Modified conditional Granger causalitywhich is one of effective connectivity’s methods was applied to the analysis of restingstate network with effective connectivity of anomic aphasia. The main contents are:1. We explore the application to structural magnetic resonance imaging of amonicaphasia with voxel-based morphological analysis, and the result is that anomic aphasia’sgray matter morphology is abnormal. Left Median cingulate gyrus, left Inferior frontalgyrus, orbital, right Inferior frontal gyrus, orbital, left Superior frontal gyrus,medialorbital, right Inferior frontal gyrus, orbital, left Hippocampus, right Hippocampus, leftInsula, left Rectus, right Inferior temporal gyrus, those regions’ volume decreased ingray matter. There is no increased volume. The atrophy’s degree of insula and the abilityof naming have the positive correlation, so the Insula may have a major impact on theformation of anmic aphasia.2We explore the integration of conditional Granger causality method with matrixseparation in frequency domain and PCA method. We make use of PCA_GCA toimprove the accuracy of the calculation of the conditional Granger causality, comparedwith the traditional method of the conditional Granger causality. With this method, it isfound that resting state network of anomic aphasia is abnormal. Compared with thecontrol’s network with effective connection of ROI, the ability of information exchangeof anomic aphasia’s network is weakened. |