艾森克人格特质的静息态fMRI多模式研究
发布时间:2019-01-26 13:58
【摘要】:目的以儿童和成人为研究对象,采用fMRI脑影像技术,使用局部特性分析方法探讨脑功能的局部特性与人格特质的相关性,同时使用图论的方法分析全脑功能连接及大脑的拓扑属性与人格特质的关系,探讨fMRI数据分析方法在不同年龄样本的人格特质脑影像学研究中的稳定性,为人格特质的生物学机制及其神经影像学发展进程提供理论依据。方法(1)公开招募符合要求的7-15岁的儿童被试60人,16-60岁的成人被试196人,收集被试的人口学资料,采集静息态fMRI数据及艾森克人格特质信息。(2)基于MATLAB R2012a平台,采用DPARSF软件对fMRI数据进行预处理及ReHo、ALFF、fALFF等指标运算,采用network_construction等软件包进行脑功能网络指标分析。另外采用REST V1.8软件、SPSS 17.0软件等对数据进行统计分析。结果(1)外倾性:在本研究中,儿童和成人的外倾性得分与额叶的部分区域、双侧脑岛和颞叶的部分区域等脑区的局部活动特性均存在相关性。除此之外,成人的外倾性得分还与右侧楔叶、双侧梭状回等脑区的局部活动特性存在正相关。同时,在脑功能网络节点指标的分析中,不同外倾性分组的被试在颞叶的部分区域、梭状回、杏仁核等脑区存在显著差异。(2)神经质:在本研究中,儿童和成人的神经质得分与颞叶和枕叶部分区域的局部活动特性均存在相关性。除此之外,儿童的神经质得分还与右侧海马旁回的局部活动特性存在正相关。同时,在成人的脑功能网络节点指标的分析中,不同神经质分组的被试在颞叶的部分区域、额下回、脑岛和梭状回等脑区存在显著差异。(3)精神质:在本研究中,儿童和成人的精神质得分与顶叶部分区域的局部活动特性均存在相关性。除此之外,成人的精神质得分还与内侧和旁扣带回等区域存在正相关,与眶部额下回等区域存在负相关。同时,在脑功能网络节点指标的分析中,不同精神质分组的被试在眶部额下回、眶部额中回、前扣带回和旁扣带回、梭状回、尾状核等脑区存在显著差异。结论艾森克人格特质具有特定的生物学影像标记物,主要体现在的额叶、颞叶、顶叶以及脑岛、梭状回等区域,本研究为艾森克人格特质的生物学机制及其神经影像学发展进程提供了理论依据。
[Abstract]:Objective to investigate the correlation between the local characteristics of brain function and personality traits by using fMRI brain imaging technique and local characteristic analysis. At the same time, graph theory was used to analyze the relationship between the functional connections of the whole brain and the topological attributes of the brain and personality traits, and the stability of the fMRI data analysis method in the study of brain imaging of personality traits in different age samples was discussed. To provide theoretical basis for the biological mechanism of personality traits and the development of neuroimaging. Methods (1) 60 children (7-15 years old) and 196 adults (16-60 years old) were recruited to collect the demographic data of the subjects. The rest fMRI data and Eysenck personality information were collected. (2) based on the MATLAB R2012a platform, the fMRI data were preprocessed by DPARSF software and the indexes such as ReHo,ALFF,fALFF were calculated, and the brain function network indexes were analyzed by network_construction and other software packages. In addition, REST V1.8 software and SPSS 17.0 software were used to analyze the data. Results (1) extroversion: in this study, the extroversion scores of children and adults were correlated with the local activity characteristics of some regions of the frontal lobe, bilateral islands and temporal lobes. In addition, the extroversion scores of adults were positively correlated with the local activity of the right cuneiform lobe and bilateral spindle gyrus. At the same time, there were significant differences in some areas of temporal lobe, fusiform gyrus, amygdala and other brain regions in different extroversion groups. (2) neuroticism: in this study, The neuroticism scores of children and adults were correlated with the local activity of temporal lobe and occipital lobe. In addition, there was a positive correlation between the neuroticism score and the local activity of the right parahippocampal gyrus. At the same time, there were significant differences in some areas of temporal lobe, inferior frontal gyrus, cerebral island and fusiform gyrus in different neuroticism groups in adults. (3) Psychiatry: in this study, The scores of psychoticism in children and adults were correlated with the characteristics of local activity in parietal lobe. In addition, the scores of psychoticism in adults were positively correlated with the medial and paracentorial gyrus, and negatively correlated with the orbital inferior frontal gyrus. At the same time, there were significant differences in the subfrontal gyrus, middle frontal gyrus, anterior cingulate gyrus and accessory cingulate gyrus, fusiform gyrus, caudate nucleus and so on. Conclusion Eysenck's personality traits have specific biological imaging markers, mainly in frontal lobe, temporal lobe, parietal lobe, cerebral island, fusiform gyrus and so on. This study provides a theoretical basis for the biological mechanism and neuroimaging development of Eysenck's personality traits.
【学位授予单位】:山西医科大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:B848
[Abstract]:Objective to investigate the correlation between the local characteristics of brain function and personality traits by using fMRI brain imaging technique and local characteristic analysis. At the same time, graph theory was used to analyze the relationship between the functional connections of the whole brain and the topological attributes of the brain and personality traits, and the stability of the fMRI data analysis method in the study of brain imaging of personality traits in different age samples was discussed. To provide theoretical basis for the biological mechanism of personality traits and the development of neuroimaging. Methods (1) 60 children (7-15 years old) and 196 adults (16-60 years old) were recruited to collect the demographic data of the subjects. The rest fMRI data and Eysenck personality information were collected. (2) based on the MATLAB R2012a platform, the fMRI data were preprocessed by DPARSF software and the indexes such as ReHo,ALFF,fALFF were calculated, and the brain function network indexes were analyzed by network_construction and other software packages. In addition, REST V1.8 software and SPSS 17.0 software were used to analyze the data. Results (1) extroversion: in this study, the extroversion scores of children and adults were correlated with the local activity characteristics of some regions of the frontal lobe, bilateral islands and temporal lobes. In addition, the extroversion scores of adults were positively correlated with the local activity of the right cuneiform lobe and bilateral spindle gyrus. At the same time, there were significant differences in some areas of temporal lobe, fusiform gyrus, amygdala and other brain regions in different extroversion groups. (2) neuroticism: in this study, The neuroticism scores of children and adults were correlated with the local activity of temporal lobe and occipital lobe. In addition, there was a positive correlation between the neuroticism score and the local activity of the right parahippocampal gyrus. At the same time, there were significant differences in some areas of temporal lobe, inferior frontal gyrus, cerebral island and fusiform gyrus in different neuroticism groups in adults. (3) Psychiatry: in this study, The scores of psychoticism in children and adults were correlated with the characteristics of local activity in parietal lobe. In addition, the scores of psychoticism in adults were positively correlated with the medial and paracentorial gyrus, and negatively correlated with the orbital inferior frontal gyrus. At the same time, there were significant differences in the subfrontal gyrus, middle frontal gyrus, anterior cingulate gyrus and accessory cingulate gyrus, fusiform gyrus, caudate nucleus and so on. Conclusion Eysenck's personality traits have specific biological imaging markers, mainly in frontal lobe, temporal lobe, parietal lobe, cerebral island, fusiform gyrus and so on. This study provides a theoretical basis for the biological mechanism and neuroimaging development of Eysenck's personality traits.
【学位授予单位】:山西医科大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:B848
【参考文献】
相关期刊论文 前10条
1 郭艳娥;王盼;周波;姚洪祥;张增强;安宁豫;张熙;;阿尔茨海默病及轻度认知功能障碍患者海马及海马旁回灰质体积与认知功能的相关性[J];中华老年心脑血管病杂志;2016年04期
2 邱天爽;戴睿娇;刘亚洁;;基于静息态fMRI低频振幅的首发抑郁症与功能脑区关联研究[J];数据采集与处理;2015年05期
3 黄雅梅;周仁来;吴梦莹;;神经质人格的神经生理基础[J];心理科学进展;2015年04期
4 胡义秋;王冰蕊;黎志华;;“90后”大学生心理健康、主观幸福感和个性的相关研究[J];大学教育科学;2015年02期
5 郭牟莹;张水兴;许明智;胡雪玉;杨程甲;陈文波;;首发抑郁症患者的静息态功能成像[J];南方医科大学学报;2014年09期
6 耿海洋;李雪冰;;社交焦虑障碍的功能连接异常[J];心理科学进展;2013年10期
7 陈玲玲;许华山;陈瑶;;产后抑郁症患者认知模式与人格特质[J];中国健康心理学杂志;2013年07期
8 宋剑祥;何亚芸;;国外人格理论研究的主要流派述评[J];昆明冶金高等专科学校学报;2013年04期
9 左西年;张U,
本文编号:2415561
本文链接:https://www.wllwen.com/shekelunwen/xinlixingwei/2415561.html