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计算模型对精神病学有帮助吗?

Are computational models of any use to psychiatry?

机构信息

Wellcome Trust Centre for Neuroimaging, Gatsby Computational Neuroscience Unit and Medical School, UCL, United Kingdom.

出版信息

Neural Netw. 2011 Aug;24(6):544-51. doi: 10.1016/j.neunet.2011.03.001. Epub 2011 Mar 10.

Abstract

Mathematically rigorous descriptions of key hypotheses and theories are becoming more common in neuroscience and are beginning to be applied to psychiatry. In this article two fictional characters, Dr. Strong and Mr. Micawber, debate the use of such computational models (CMs) in psychiatry. We present four fundamental challenges to the use of CMs in psychiatry: (a) the applicability of mathematical approaches to core concepts in psychiatry such as subjective experiences, conflict and suffering; (b) whether psychiatry is mature enough to allow informative modelling; (c) whether theoretical techniques are powerful enough to approach psychiatric problems; and (d) the issue of communicating clinical concepts to theoreticians and vice versa. We argue that CMs have yet to influence psychiatric practice, but that they help psychiatric research in two fundamental ways: (a) to build better theories integrating psychiatry with neuroscience; and (b) to enforce explicit, global and efficient testing of hypotheses through more powerful analytical methods. CMs allow the complexity of a hypothesis to be rigorously weighed against the complexity of the data. The paper concludes with a discussion of the path ahead. It points to stumbling blocks, like the poor communication between theoretical and medical communities. But it also identifies areas in which the contributions of CMs will likely be pivotal, like an understanding of social influences in psychiatry, and of the co-morbidity structure of psychiatric diseases.

摘要

在神经科学领域,对关键假设和理论进行数学严谨描述的情况越来越普遍,并且开始应用于精神病学。在本文中,两位虚构的角色——斯特朗博士和密考伯先生——就精神病学中使用此类计算模型(CM)展开了辩论。我们提出了在精神病学中使用 CM 面临的四个基本挑战:(a)数学方法对精神病学中主观体验、冲突和痛苦等核心概念的适用性;(b)精神病学是否足够成熟,以允许进行有意义的建模;(c)理论技术是否足够强大,能够解决精神科问题;(d)将临床概念传达给理论家以及反之的问题。我们认为,CM 尚未影响精神病学实践,但它们以两种基本方式帮助精神病学研究:(a)构建更好的理论,将精神病学与神经科学相结合;(b)通过更强大的分析方法,对假设进行明确、全面和有效的测试。CM 允许严格权衡假设的复杂性与数据的复杂性。本文最后讨论了前进的道路。它指出了绊脚石,例如理论和医学社区之间沟通不畅。但它也确定了 CM 的贡献可能至关重要的领域,例如理解精神病学中的社会影响,以及精神疾病的共病结构。

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