Brown Postdoctoral Training Program in Computational Psychiatry

布朗计算精神病学博士后培训项目

• 批准号: 10206628
• 负责人: MICHAEL J. FRANK
• 金额: $ 23.08万
• 依托单位: BROWN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10206628
• 关键词: Psychiatry; Training Programs; post-doctoral training

The goal of understanding psychiatric disorders and advancing psychiatric treatments requires basic knowledge of not only what environmental, genetic and epigenetic factors underlie function and dysfunction, but also how these factors alter the circuit-level computations that are the proximal neural events to behavior. The advent of research in this area holds the promise of linking core computations of neural circuits to complex human behavior, with the ultimate goal of developing comprehensive, multilevel transdiagnostic models of neuropsychiatric disorders. Consequently, the emerging field of computational psychiatry is central to the NIMH mission. Despite its importance, there are very few opportunities to pursue training in this area. Consequently, the proposed training program seeks to take recent PhDs, with strong backgrounds in fields such as neuroscience, engineering, applied math, and computer science, and provide them with the tools to make important contributions to the nascent field of computational psychiatry. The proposed Training Program in Computational Psychiatry (TPCP) will take place at Brown University where there is a critical mass of basic researchers on the main campus and clinical researchers in the Department of Psychiatry and Human Behavior to conduct such a training program. We propose enrolling six fellows (3 per year) in the TPCP with the goal of training, more efficiently and effectively, nonclinical research fellows capable of collaborating with clinical researchers to advance knowledge of psychiatric disorders and treatments. The program embraces an apprenticeship model in which fellows work with a primary research trainer in a computational field and a secondary research mentor in clinical psychiatry. In this apprenticeship model, the trainer works closely with the fellow and a secondary clinical psychiatry mentor, who is conducting research in areas such as neuroimaging, neurostimulation, and digital phenotyping. These research areas are especially conducive to addressing important issues in computational psychiatry, whether they be model/theory-driven or data-driven. The proposed didactic program will include both core seminars and an individualized curriculum including fellow-selected courses in neuroscience, computer science, engineering, applied mathematics, or psychiatric disorders. All fellows attend core seminars on grant writing, responsible conduct of research, and rigor and reproducibility. The short-term final product is an NIH grant application on a computational psychiatry topic. The long-term goal is to produce a new cohort of academics who can conduct research in computational psychiatry and train the next generation of graduate students in this emerging field of inquiry.

理解精神疾病和进步精神疗法的目标需要基本 了解哪些环境，遗传和表观遗传因素是功能和功能障碍的基础 但是，这些因素如何改变电路级计算是行为近端神经事件的计算。 该领域的研究的出现具有将神经回路的核心计算与复杂的核心计算联系起来的希望 人类行为，其最终目标是开发全面的多级经诊断模型 神经精神疾病。因此，计算精神病学的新兴领域对于 NIMH任务。尽管它很重要，但在这一领域没有机会进行培训的机会很少。 因此，拟议的培训计划旨在获得最近的博士学位，在领域的背景很强 例如神经科学，工程，应用数学和计算机科学，并为它们提供工具 为计算精神病学的新生领域做出重要贡献。拟议的培训计划 计算精神病学（TPCP）将在布朗大学举行，那里有很多基本的 主要校园的研究人员和精神病学系的临床研究人员 进行这样的培训计划的行为。我们建议在TPCP中注册六名研究员（每年3名） 培训的目的更有效，有效地，非临床研究研究员，能够与 临床研究人员可以提高对精神疾病和治疗的了解。该程序包含一个 学徒模型，研究员与计算领域的主要研究教练一起工作 临床精神病学的二级研究导师。在这个学徒模型中，教练与 研究员和二级临床精神病学导师，他正在诸如等领域进行研究 神经影像学，神经刺激和数字表型。这些研究领域特别有利于 解决计算精神病学中的重要问题，无论它们是模型/理论驱动还是数据驱动。 拟议的教学计划将包括核心研讨会和个性化课程，包括 神经科学，计算机科学，工程，应用数学或精神病学的其他选择课程 疾病。所有研究员都参加了有关赠款写作，负责任的研究和严格的核心研讨会，以及 可重复性。短期最终产品是计算精神病学主题的NIH赠款申请。 长期目标是生产一个可以在计算中进行研究的新学者队列 精神病学和培训在这个新兴探究领域的下一代研究生。