Hauser T U, Iannaccone R, Dolan R J, Ball J, Hättenschwiler J, Drechsler R, Rufer M, Brandeis D, Walitza S, Brem S
Wellcome Trust Centre for Neuroimaging,University College London,London WC1N 3BG,UK.
Department of Child and Adolescent Psychiatry and Psychotherapy,Psychiatric Hospital, University of Zurich,8032 Zürich,Switzerland.
Psychol Med. 2017 May;47(7):1246-1258. doi: 10.1017/S0033291716003305. Epub 2017 Jan 9.
Obsessive-compulsive disorder (OCD) has been linked to functional abnormalities in fronto-striatal networks as well as impairments in decision making and learning. Little is known about the neurocognitive mechanisms causing these decision-making and learning deficits in OCD, and how they relate to dysfunction in fronto-striatal networks.
We investigated neural mechanisms of decision making in OCD patients, including early and late onset of disorder, in terms of reward prediction errors (RPEs) using functional magnetic resonance imaging. RPEs index a mismatch between expected and received outcomes, encoded by the dopaminergic system, and are known to drive learning and decision making in humans and animals. We used reinforcement learning models and RPE signals to infer the learning mechanisms and to compare behavioural parameters and neural RPE responses of the OCD patients with those of healthy matched controls.
Patients with OCD showed significantly increased RPE responses in the anterior cingulate cortex (ACC) and the putamen compared with controls. OCD patients also had a significantly lower perseveration parameter than controls.
Enhanced RPE signals in the ACC and putamen extend previous findings of fronto-striatal deficits in OCD. These abnormally strong RPEs suggest a hyper-responsive learning network in patients with OCD, which might explain their indecisiveness and intolerance of uncertainty.
强迫症(OCD)与额纹状体网络的功能异常以及决策和学习障碍有关。对于导致强迫症患者出现这些决策和学习缺陷的神经认知机制,以及它们与额纹状体网络功能障碍的关系,我们知之甚少。
我们使用功能磁共振成像,从奖励预测误差(RPE)的角度,研究了强迫症患者(包括早发型和晚发型)决策的神经机制。RPE反映了预期结果与实际获得结果之间的不匹配,由多巴胺能系统编码,已知其在人类和动物的学习和决策中起驱动作用。我们使用强化学习模型和RPE信号来推断学习机制,并比较强迫症患者与健康匹配对照者的行为参数和神经RPE反应。
与对照组相比,强迫症患者在前扣带回皮质(ACC)和壳核中的RPE反应显著增加。强迫症患者的坚持参数也显著低于对照组。
ACC和壳核中增强的RPE信号扩展了先前关于强迫症患者额纹状体缺陷的研究结果。这些异常强烈的RPE表明强迫症患者的学习网络反应过度,这可能解释了他们的犹豫不决和对不确定性的不耐受。