An fMRI study of happiness by inducing positive affect states

Han Shin Jo, Yang Yen Ou, Chun Chia Kung

研究成果: Conference contribution

摘要

The present study examined neural activations during the positive affective state by Functional magnetic resonance images (fMRI) as participants viewed pictures of achievements (positive arousal) and connectedness (positive valence). The theoretical model of affective structure is related to explain positive affective state. We hypothesized that positive affect on two different dimensions would engage participants in distinct happiness states. 22 undergrad/grad participants performed rating the subjective experience of happiness during positive affective state by the presented photos (i.e. connectedness, achievement and neutral). Across analyses, we found a set of neural regions that support an empathic state and positive affective state. A brain activity of cognitive-evaluative system is engaged when participants view achievement stimuli. In contrast, affective- perceptual form of empathy is engaged for connectedness stimuli. In addition, cognitive-evaluative neural activation was highly correlated with the strength of perceived happiness, whereas affective-perceptual related neural regions showed no correlation. Taken together, our results provide evidence to suggest that there are integrative neuro-cognitve networks supporting the processing of positive affect where activated in functionally and anatomically dissociable patterns.

原文English
主出版物標題Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面58-62
頁數5
ISBN(電子)9781467382373
DOIs
出版狀態Published - 2016 六月 22
事件3rd International Conference on Orange Technologies, ICOT 2015 - Hong Kong, Hong Kong
持續時間: 2015 十二月 192015 十二月 22

出版系列

名字Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015

Other

Other3rd International Conference on Orange Technologies, ICOT 2015
國家Hong Kong
城市Hong Kong
期間15-12-1915-12-22

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Social Psychology
  • Artificial Intelligence
  • Computer Networks and Communications

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