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Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
Published on: January 7, 2019
Discussion on Patients with Bipolar Disorder and Depressive Episode by Ratio Low Frequency Amplitude Combined with
Xiaohong Wang1, Na Zhao1, Jingjing Shi2
1Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Nangang District, Harbin, 150001, China.
Abstract:
In order to explore the brain functional and structural imaging results of patients with bipolar disorder and depressive episode without taking medicine, and to further explore the disease mechanism of bipolar disorder by combining with clinical symptoms and cognitive function (neuropsychological test), DPABI (Data Processing and Analysis (Resting-State) For Brain Image) software is used to pre-process fMRI (functional magnetic resonance imaging) data and calculate fALFF (ratio low frequency fluctuation amplitude) index. In addition, SPM8 is applied for grey matter volume analysis based on voxel morphology. Pearson correlation model is used to analyze the relationship between functional and morphological changes and clinical symptoms and cognitive tests. DPABI software and SPSS 22.0 software are used to analyze the data. The results show that corresponding abnormal brain areas are found in both functional and structural aspects of patients with bipolar disorder and depression, involving LCSPT emotional circuits. More importantly, the superior frontal gyrus shows significant abnormalities in both functional and structural analysis.
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