Collective Intelligence Laboratory, Department of Psychiatry and Behavioral Science, McMaster University, 92 Bowman Street, Hamilton, Ontario, Canada
Philos Trans R Soc Lond B Biol Sci. 2018 Apr 19;373(1744). doi: 10.1098/rstb.2017.0168.
Temperament of healthy people and mental illnesses, particularly affective disorders, have been conjectured to lie along a continuum of neurobehavioural regulation. Understanding the nature of this continuum may better inform the construction of taxonomies for both categories of behaviour. Both temperament and mental illness refer to patterns of behaviour that manifest over long time scales (weeks to years) and they appear to share many underlying neuroregulatory systems. This continuum is discussed from the perspectives of nonlinear dynamical systems theory, neurobiology and psychiatry as applied to understanding such multiscale time-series behaviour. Particular emphasis is given to issues of generativity, fungibility, metastability, non-stationarity and contextuality. Implications of these dynamical properties for the development of taxonomies will be discussed. Problems with the over-reliance of psychologists on statistical and mathematical methods in deriving their taxonomies (particularly those based on factor analysis) will be discussed from a dynamical perspective. An alternative approach to temperament based upon functionality, and its discriminative capabilities in mental illness, is presented.This article is part of the theme issue 'Diverse perspectives on diversity: multi-disciplinary approaches to taxonomies of individual differences'.
健康人群的气质和精神疾病(尤其是情感障碍)被推测沿着神经行为调节的连续统存在。理解这一连续统的本质可以更好地为这两类行为的分类结构提供信息。气质和精神疾病都指在长时标(数周到数年)上表现出的行为模式,它们似乎共享许多潜在的神经调节系统。本文从非线性动力系统理论、神经生物学和精神病学的角度讨论了这一连续统,以了解这种多时间尺度的时间序列行为。特别强调了生成性、可替代性、亚稳性、非平稳性和语境性等问题。这些动态特性对分类法发展的影响将被讨论。从动态的角度讨论了心理学家在从统计学和数学方法中推导出他们的分类法(特别是基于因子分析的分类法)时过度依赖这些方法的问题。本文提出了一种基于功能的、用于区分精神疾病的气质替代方法。本文是主题为“多样性的不同视角:个体差异分类的多学科方法”的一部分。