Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education (South China Normal University), Guangzhou, China; Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China.
Beijing Key Laboratory of Learning and Cognition, and School of Psychology, Capital Normal University, Beijing, China; Department of Decision Neuroscience and Nutrition, German Institute of Human Nutrition (DIfE), Potsdam-Rehbrücke, Germany.
Clin Psychol Rev. 2022 Aug;96:102189. doi: 10.1016/j.cpr.2022.102189. Epub 2022 Jul 23.
Motivational dysfunction constitutes one of the fundamental dimensions of psychopathology cutting across traditional diagnostic boundaries. However, it is unclear whether there is a common neural circuit responsible for motivational dysfunction across neuropsychiatric conditions. To address this issue, the current study combined a meta-analysis on psychiatric neuroimaging studies of reward/loss anticipation and consumption (4308 foci, 438 contrasts, 129 publications) with a lesion network mapping approach (105 lesion cases). Our meta-analysis identified transdiagnostic hypoactivation in the ventral striatum (VS) for clinical/at-risk conditions compared to controls during the anticipation of both reward and loss. Moreover, the VS subserves a key node in a distributed brain network which encompasses heterogeneous lesion locations causing motivation-related symptoms. These findings do not only provide the first meta-analytic evidence of shared neural alternations linked to anticipatory motivation-related deficits, but also shed novel light on the role of VS dysfunction in motivational impairments in terms of both network integration and psychological functions. Particularly, the current findings suggest that motivational dysfunction across neuropsychiatric conditions is rooted in disruptions of a common brain network anchored in the VS, which contributes to motivational salience processing rather than encoding positive incentive values.
动机功能障碍是贯穿传统诊断边界的精神病理学的基本维度之一。然而,目前尚不清楚是否存在一个共同的神经回路负责神经精神疾病状态下的动机功能障碍。为了解决这个问题,本研究将奖励/损失预期和消费的精神神经影像学研究的荟萃分析(4308 个焦点,438 个对比,129 篇文献)与病变网络映射方法(105 个病变病例)相结合。我们的荟萃分析发现,与对照组相比,临床/风险条件下的腹侧纹状体(VS)在预期奖励和损失时的活动均降低。此外,VS 是一个包含导致动机相关症状的各种病变位置的分布式大脑网络的关键节点。这些发现不仅提供了与预期动机相关缺陷相关的共享神经变化的首个荟萃分析证据,而且还揭示了 VS 功能障碍在网络整合和心理功能方面对动机障碍的作用。特别是,目前的研究结果表明,神经精神疾病状态下的动机功能障碍源于以 VS 为基础的共同神经网络的破坏,这有助于动机显著性处理,而不是编码正激励价值。