Neurocomputational mechanisms of learning and decision-making and their disruption in addiction

学习和决策的神经计算机制及其对成瘾的破坏

• 批准号: 10699671
• 负责人: Thorsten Kahnt
• 金额: $ 90.77万
• 依托单位: NATIONAL INSTITUTE ON DRUG ABUSE
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10699671
• 关键词: Behavior; Behavioral; Brain; Decision Making; Functional Magnetic Resonance Imaging; Goals; Human; Incentives; Intervention; Learning; Population; Process; Research Project Grants; Resolution; Techniques; Testing; Transcranial magnetic stimulation; addiction; behavior test; cognitive function; design; neural; neuropsychiatry

Neurocomputational mechanisms underlying incentive learning and decision-making are altered in addiction and other neuropsychiatric conditions. These basic processes, as well as their significance to behavior are not well understood. We are studying these questions directly in humans, by investigating learning and decision-making and their underlying brain processes in healthy humans using behavioral testing and non-invasive neural recording and stimulation techniques, such as high-resolution functional magnetic resonance imaging (fMRI) and transcranial magnetic stimulation (TMS). In addition, we explore whether and how these behavioral and neural processes are altered in addiction. A better understanding these changes may help to identify new targets for intervention.

在成瘾和其他神经精神疾病中，激励学习和决策的神经计算机制会发生变化。这些基本的过程以及它们对行为的意义还没有被很好地理解。我们正在通过使用行为测试和非侵入性神经记录和刺激技术，如高分辨率功能磁共振成像(FMRI)和经颅磁刺激(TMS)，通过调查健康人类的学习和决策及其潜在的大脑过程，直接在人类身上研究这些问题。此外，我们还探讨了这些行为和神经过程是否以及如何在成瘾过程中发生改变。更好地理解这些变化可能有助于确定新的干预目标。