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大尺度大脑结构网络效率与智力关系的随龄变化
Alternative TitleThe Developmental Effect of Large-Scale Morphological Network Efficiency of Human Brain and Intelligence: Cognitive Intelligence and Emotional Intelligence
李春霖
Contributor姜黎黎
2021-06
Abstract个体发展是一个持续终生的过程,涉及到多维度、多方向的变化,不同年龄阶段都有获得也有失去。成年人认知能力的随龄变化呈倒U型曲线,在一定年龄阶段之后,认知能力随着年龄的增长而逐渐下降。情绪智力则在一定程度上保持不变甚至有缓慢上升的趋势。认知能力和情绪智力反应了个人能力的不同方面对于这两种具有不同发育轨迹的行为表现,本研究试图探讨两者脑网络机制的随龄变化以及这种随龄变化的适应性意义。 研究一招募了67名被试(年龄在18一64岁之间,分为青年组和中年组)。被试依次完成韦氏成人智力量表(WAIST、沙赫特情绪智力量表(SSEIS}以及结构磁共振的扫描。被试认知能力通过其在WAI S上的标准化得分和原始分进行衡量,而情绪智力通过其在SSEIS上的得分进行衡量。行为分析结果显示:两组被试在认知能力的标准化得分和情绪智力得分上没有显著差异;在认知能力的原始分上,青年组被试在流体智力相关的测验上的得分显著高于中年组被试。结果表明:个体的认知能力呈现随龄下降的趋势,而被试在情绪智力量表上的得分没有显著随龄变化趋势。 研究二在研究一行为分析的基础上,提出一种新的构建大脑结构网络的方法。对于大脑灰质的不同特性(皮层体积、皮层厚度和皮层表面积),通过对大脑灰质形态分布相似性的测量,构建大脑灰质结构网络,来探究随龄变化的行为背后的脑网络机制。结果表明:认知能力和情绪智力的脑网络机制呈现随龄变化的趋势,大脑全局效率(以及节点效率)与认知能力的关系随年龄的增加而逐渐由正相关变为负相关,而大脑全局效率(以及节点效率)与情绪智力的关系随着年龄的增加逐渐由负相关变为正相关。其中,与认知能力相关的脑区集中在:左侧颖顶联合、左侧上顶叶、右侧腹内侧前额叶及右侧背外侧前额叶区域;而和情绪智力相关的脑区集中在:右侧感觉运动区,左侧颖极、左侧上顶叶、左侧额中回和右侧扣带回区域。 总的来说,这两个研究不仅从行为角度再次验证了认知能力和情绪智力的随龄变化趋势;更重要的是提出一种新的构建大脑结构网络的方法,在此基础上揭示了个体从青年到中年这一发展过程中,其认知能力和情绪智力内在的生理机制的变化,进一步推动对中年群体的研究以及健康老化。
Other AbstractIndividual development is a lifelong process that involves multidimensional and multidirectional changes, with gains and losses at different ages. For adults, the cognitive intelligence gradually decreased with advancing aging, mostly in an inverted U-shaped curve, while emotional intelligence was relatively well-preserved or even improved during aging. Cognitive intelligence and emotional intelligence were generally regarded as different aspects of the human abilities. Considering that the cognitive intelligence and emotional intelligence exhibited distinct trajectories of development, our study tried to explore the adaptive significance of the distinct developmental trajectories. More importantly, we tried to investigating whether the human brain at different ages exhibited different underpins of cognitive and emotional intelligence from young adults to the middle-aged group, especially in terms of the morphological similarity networks. In the study 1,we recruited 67 healthy participants (aging 18-64, divided into young adults and middle-aged group), who finished structural Magnetic Resonance Imaging(sMRI) scanning, followed by the assessment of Wechsler Adult Intelligence Scale (WAIS) and Schutte Self-Report Emotional Intelligence Scale (SSEIS). There are two kinds of index to measure one's cognitive intelligence: the standardized and raw scores of WAIS tests. The results of behavioral analysis showed that: there was no significant difference in the standardized scores of WAIS tests and emotional intelligence between the young adults and the middle-aged group; while in the raw scores of WAIS tests, the scores of fluid intelligence tests of the young adults are significantly higher than those of the middle-aged group. This result showed that the cognitive intelligence of individuals decreased with advancing aging, whereas there was no significant change in the score of emotional intelligence with advancing aging. The study 2 was aimed to explore the associations of network efficiency with cognitive intelligence and emotional intelligence in young adults and the middle-aged group. We proposed a new method of defining the human brain morphological networks using the morphological distribution similarity (including cortical volume, surface area, and thickness). Our results showed inverted age X network efficiency interactions in the relationship of network efficiency with cognitive intelligence and emotional intelligence: a negative age X global efficiency (nodal efficiency) interaction in cognitive intelligence, while a positive age X global efficiency (nodal efficiency) interaction in emotional intelligence. We found that the significant age X network efficiency effect for cognitive intelligence in left temporoparietal junction, left superior parietal area, right ventromedial prefrontal area and right dorsolateral prefrontal area; while the significant age X network efficiency effect for emotional intelligence in the right sensory motor area, left temporal pole, left superior parietal area, left middle frontal gyrus and right cingulate gyrus. In summary, study 1 and study 2 not only verified the developmental trajectory of cognitive intelligence and emotional intelligence, but also proposed a new method of morphological similarity network and emphasized the developmental effects on the brain mechanisms of intelligence from young adult to middle-aged groups. This may promote mental health study on the middle-aged group and successful aging.
Keyword认知能力 情绪智力 结构网络 网络效率 毕生发展
Subtype硕士
Language中文
Degree Name理学硕士
Degree Discipline发展与教育心理学
Degree Grantor中国科学院心理研究所
Place of Conferral中国科学院心理研究所
Document Type学位论文
Identifierhttp://ir.psych.ac.cn/handle/311026/39563
Collection认知与发展心理学研究室
Recommended Citation
GB/T 7714
李春霖. 大尺度大脑结构网络效率与智力关系的随龄变化[D]. 中国科学院心理研究所. 中国科学院心理研究所,2021.
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