基于MVPA和VBM的功能性消化不良患者大腦異常研究
發(fā)布時間:2018-04-02 10:42
本文選題:功能性消化不良 切入點:磁共振成像 出處:《西安電子科技大學》2014年碩士論文
【摘要】:功能性消化不良作為一種常見的胃腸病嚴重影響了患者的生活質(zhì)量并且為患者帶來巨大的醫(yī)療費用。近年來,神經(jīng)成像技術,特別是磁共振成像技術和正電子發(fā)射斷層技術,已經(jīng)廣泛地應用于功能性消化不良患者大腦異;顒拥奶骄。許多研究表明,腦腸軸的功能紊亂是引起功能性消化不良發(fā)病的重要機制。然而,這些研究大部分使用基于實驗的手段,很少有研究對患者靜息態(tài)下大腦活動進行研究。因此,本論文主要通過磁共振成像技術研究功能性消化不良患者在靜息狀態(tài)下的大腦結構和功能的異常。 首先,,我們采用多體素模式分析對功能性消化不良患者和正常對照組在靜息態(tài)下大腦的局部一致性進行研究。利用主成分分析對局部一致性數(shù)據(jù)進行降維,降維后的數(shù)據(jù)用以訓練一個線性支持向量機分類器,我們可以得到組間的判別模式。然后再對該判別模式進行置換檢驗,得到具有顯著組間差異的腦區(qū),包括:前額葉皮層、眶額葉皮層、運動輔助區(qū)、顳極、腦島、扣帶回前部/中部、丘腦、海馬/旁海馬以及小腦。此外,部分腦區(qū)的局部一致性異常與功能性消化不良癥狀(病重和病程)相關。這些結果有助于人們進一步了解功能性消化不良的神經(jīng)機制,并且表明多體素模式分析方法和功能磁共振成像對功能性消化不良的病理機制進行探究具有可行性。 其次,我們利用基于體素的形態(tài)測量學和基于種子點的全腦結構協(xié)方差分析探究功能性消化不良患者紋狀體灰質(zhì)變化及其與全腦的結構協(xié)方差模式。結果發(fā)現(xiàn),雙側(cè)殼核和右側(cè)尾狀核灰質(zhì)增加。與正常對照組相比,功能性消化不良患者與紋狀體具有異常的結構協(xié)方差模式的腦區(qū)有:丘腦、杏仁核、海馬/旁海馬、舌狀回和小腦。此外,我們還發(fā)現(xiàn)患者灰質(zhì)異常的紋狀體區(qū)域的灰質(zhì)平均值與病程正相關。總之,這些研究結果表明功能性消化不良患者紋狀體結構及其與全腦的結構協(xié)方差存在異常,并且為揭示功能性消化不良發(fā)病機制提供了進一步的支持。
[Abstract]:As a common gastrointestinal disease, functional dyspepsia has seriously affected the quality of life of patients and brought huge medical costs to patients. In recent years, neuroimaging technology, especially magnetic resonance imaging and positron emission tomography, It has been widely used to explore abnormal brain activity in patients with functional dyspepsia. Many studies have shown that dysfunction of the brain intestinal axis is an important mechanism for the pathogenesis of functional dyspepsia. Most of these studies use experiment-based methods, and few studies look at brain activity in patients at rest. Magnetic resonance imaging (MRI) is used to study the abnormal brain structure and function in patients with functional dyspepsia. First of all, we used multivoxel model analysis to study the local consistency of brain in patients with functional dyspepsia and normal controls under resting state. The principal component analysis (PCA) was used to reduce the dimension of local consistency data. The dimensionally reduced data are used to train a linear support vector machine classifier, and we can get the discriminant pattern between groups. Orbital frontal cortex, motor auxiliary area, temporal pole, cerebral island, anterior / central cingulate gyrus, thalamus, hippocampus / para-hippocampus and cerebellum. Local consistency abnormalities in some brain regions are associated with symptoms of functional dyspepsia (severity and course of disease). These results help to further understand the neural mechanism of functional dyspepsia. The results also indicate that multivoxel mode analysis and functional magnetic resonance imaging are feasible for exploring the pathological mechanism of functional dyspepsia. Secondly, we used morphometry based on voxel and covariance analysis of whole brain structure based on seed points to explore the striatal gray matter changes and their structural covariance patterns with the whole brain in patients with functional dyspepsia. The gray matter of bilateral putamen nucleus and right caudate nucleus increased. Compared with the normal control group, the functional dyspepsia patients and striatum had abnormal structural covariance pattern: thalamus, amygdala, hippocampus / para-hippocampus. In addition, we found a positive correlation between the average of gray matter in the gray matter abnormal striatal area and the course of disease. These results suggest that the striatum structure and its structural covariance with the whole brain are abnormal in patients with functional dyspepsia and provide further support for revealing the pathogenesis of functional dyspepsia.
【學位授予單位】:西安電子科技大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:R57
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