美国论文怎么写：幸福感
美国论文怎么写：幸福感
研究终极幸福感和皮质醇输出,七十二年被选中,并进行图像分析和皮质醇采集和分析两个部分的成像任务。这些参与者构成了一个具有代表性的美国中西部的这八个参与者进一步去除由于高运动等因素或大型峰值或严重的积雪和大的峰值。成像任务涉及参与者看到一些随机图像从国际情感系统(评分)。这是performedwith 60积极,60 60中立,负面形象和五个功能扫描运行。图像分析涉及计算的线性模型为每个集合数据完成功能扫描运行期间收集的数据和参数。皮质醇采集和分析了唾液样本收集从这些参与者在一天的不同时间段。这个数据收集的目的是让输入在纹状体的活动和背外侧前额叶皮层决定对幸福感的影响和皮质醇这些参与者的输出。结果表明,幸福在纹状体是大脑活动的结果和背外侧前额叶皮层反应刺激变化之间的积极、消极和中性。这是证明了对参与者积极事件和观察反馈回路的持续参与。这项工作从作者有助于检查和证明的使用心理结构像终极发现周围的复杂情绪的变化和对人类健康的影响。
美国论文怎么写：幸福感
For the study of Eudaimonic well-being and Cortisol output, seventy two participants were selected and subjected to Image Analysis and Cortisol acquisition and analysis which are two parts of the Imaging Task. These participants constituted a representative sample of Mid-Western United States out of which eight participants were further removed due to factors like high motion or large spikes or severe drifts and large spikes. The Imaging Task involved participants seeing some randomized images from International Affective Picture System (IAPS) set. This was performedwith 60 positive, 60 neutral, and 60 negative images and five functional scan runs. Image analysis which involved computing of a linear model for each collection of data was done on the data and parameters collected during functional scan runs. Cortisol acquisition and analysis was done on the saliva samples collected from these participants at different time periods of the day. The objective of this data collection was to get inputs around activity in the striatum and dorsolateral prefrontal cortex for determining the effects on well-being and cortisol output of these participants. The results showed that well-being was the result of the brain activity in striatum and the dorsolateral prefrontal cortex in reaction to the stimuli changing between positive, negative and neutral. This was proved by subjecting participants to positive events and observing the continuous involvement of reward circuitry. This work from the authors helps in examining and proving the use of psychological constructs like eudaimonia uncover the complexity around variation in emotions and effects on human health.
