Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands.
P1Vital Ltd, Wallingford, United Kingdom.
Neurosci Biobehav Rev. 2019 Feb;97:38-46. doi: 10.1016/j.neubiorev.2018.06.020. Epub 2018 Jun 24.
Social withdrawal is one of the first and common signs of early social dysfunction in a number of important neuropsychiatric disorders, likely because of the enormous amount and complexity of brain processes required to initiate and maintain social relationships (Adolphs, 2009). The Psychiatric Ratings using Intermediate Stratified Markers (PRISM) project focusses on the shared and unique neurobiological basis of social withdrawal in schizophrenia, Alzheimer and depression. In this paper, we discuss the working definition of social withdrawal for this study and the selection of objective and subjective rating scales to assess social withdrawal chosen or adapted for this project. We also discuss the MRI and EEG paradigms selected to study the systems and neural circuitry thought to underlie social functioning and more particularly to be involved in social withdrawal in humans, such as the social perception and the social affiliation networks. A number of behavioral paradigms were selected to assess complementary aspects of social cognition. Also, a digital phenotyping method (a smartphone application) was chosen to obtain real-life data.
社交退缩是许多重要神经精神疾病早期社会功能障碍的首要和常见迹象之一,可能是因为发起和维持社交关系需要大量和复杂的大脑过程(Adolphs,2009)。使用中间分层标记的精神科评定(PRISM)项目专注于精神分裂症、阿尔茨海默病和抑郁症中社交退缩的共同和独特的神经生物学基础。在本文中,我们讨论了本研究中社交退缩的工作定义以及选择客观和主观评定量表来评估为该项目选择或改编的社交退缩。我们还讨论了选择的 MRI 和 EEG 范式,以研究被认为是社交功能基础的系统和神经回路,特别是涉及人类社交退缩的系统和神经回路,例如社交感知和社交隶属网络。选择了许多行为范式来评估社交认知的补充方面。此外,还选择了一种数字表型方法(智能手机应用程序)来获取现实生活数据。