神经计算机制 背后的差异增强学习从胜利和损失在肥胖和没有暴饮暴食
Maria Waltmann1, Nadine Herzog2, Andrea M F Reiter3
1Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Centre of Mental Health, University of Würzburg, Würzburg, Germany; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
概括
过度饮食障碍 (BED) 与仅仅肥胖症相比,涉及明显的认知控制差异,特别是在个人如何从胜利与失败中学习方面. 这些发现强调了BED中独特的神经计算变化.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 认知科学 认知科学
背景情况:
- 过度饮食障碍 (BED) 通常被视为一种认知控制问题,但其神经认知基础仍然不清楚.
- 以前的研究很难将BED的影响与肥胖区分开来,并忽略了特定于背景的神经认知变化.
研究的目的:
- 在寻求奖励和避免损失的背景下研究行为灵活性和神经计算过程.
- 在患有BED的肥胖个体,没有BED的肥胖个体和健康对照中区分神经认知机制.
主要方法:
- 与96名参与者进行的长度研究 (患有BED的肥胖者,没有BED的肥胖者,健康对照者).
- 在功能成像过程中进行概率逆转学习任务,具有胜负条件.
- 六个月后续评估.
主要成果:
- 与没有BED的肥胖个体相比,患有BED的肥胖个体在胜负条件之间表现出改变的学习灵敏度.
- 腹中中枢前额叶皮层中的差异神经学习信号与BED症状严重程度相关.
- 患有BED的肥胖个体在腹中介前额叶皮层中表现出选择确定性的减少.
结论:
- 区分带有和没有BED的肥胖症对于理解独特的神经计算变化至关重要.
- 结果确定了与BED的不适应性饮食行为相关的特定神经认知差异.
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