Neural loss aversion differences between depression patients and healthy individuals: A functional MRI investigation

损失厌恶 前额叶腹内侧皮质 心理学 腹侧纹状体 扁桃形结构 前额叶皮质 神经科学 功能磁共振成像 脑岛 神经经济学 纹状体 认知 多巴胺 经济 微观经济学
作者
V. S. Chandrasekhar Pammi,Purushothaman Pillai Geethabhavan Rajesh,Chandrasekharan Kesavadas,Paramban Rappai Mary,Satish Seema,Ashalatha Radhakrishnan,Ranganatha Sitaram
出处
期刊:Rivista Di Neuroradiologia [SAGE]
卷期号:28 (2): 97-105 被引量:44
标识
DOI:10.1177/1971400915576670
摘要

Neuroeconomics employs neuroscience techniques to explain decision-making behaviours. Prospect theory, a prominent model of decision-making, features a value function with parameters for risk and loss aversion. Recent work with normal participants identified activation related to loss aversion in brain regions including the amygdala, ventral striatum, and ventromedial prefrontal cortex. However, the brain network for loss aversion in pathologies such as depression has yet to be identified. The aim of the current study is to employ the value function from prospect theory to examine behavioural and neural manifestations of loss aversion in depressed and healthy individuals to identify the neurobiological markers of loss aversion in economic behaviour. We acquired behavioural data and fMRI scans while healthy controls and patients with depression performed an economic decision-making task. Behavioural loss aversion was higher in patients with depression than in healthy controls. fMRI results revealed that the two groups shared a brain network for value function including right ventral striatum, ventromedial prefrontal cortex, and right amygdala. However, the neural loss aversion results revealed greater activations in the right dorsal striatum and the right anterior insula for controls compared with patients with depression, and higher activations in the midbrain region ventral tegmental area for patients with depression compared with controls. These results suggest that while the brain network for loss aversion is shared between depressed and healthy individuals, some differences exist with respect to differential activation of additional areas. Our findings are relevant to identifying neurobiological markers for altered decision-making in the depressed.
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