Palaniyappan Lena, Wang Yingqi Laetitia, Meister Fiona
Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Quebec, Canada.
Robarts Research Institute & Lawson Health Research Institute, London, ON, Canada.
Eur Arch Psychiatry Clin Neurosci. 2025 Apr 2. doi: 10.1007/s00406-025-01994-1.
Disorganised thinking in severe mental illness seriously cripples social functions. Historically, the study of disorganisation has primarily concentrated on schizophrenia, utilizing tools designed to assess formal thought disorder (FTD). This review examines the characteristics, prevalence, and possible neural correlates of FTD within the framework of depressive disorders. Our focus is on disturbances in thought, language, and communication associated with depression, alongside the relevant subjective experiences. We also discuss the challenges and opportunities in using FTD as a predictor of future illness trajectory and advocate for using the broader construct of depressive disorganisation. We review the disruption of brain networks associated with FTD, such as the salience, language, and default mode networks, within the context of depression. In conclusion, we advocate for increased focus on personal narratives, computational psychopathology, and a broader emphasis on thought dynamics to enhance the identification of disorganisation in depression. Renewed emphasis on this neglected area of psychopathology could provide insights on improving employment and social functioning for individuals affected by mood disorders.
严重精神疾病中的思维紊乱严重损害社会功能。从历史上看,对思维紊乱的研究主要集中在精神分裂症上,使用旨在评估形式思维障碍(FTD)的工具。本综述在抑郁症的框架内考察了FTD的特征、患病率和可能的神经关联。我们关注与抑郁症相关的思维、语言和交流障碍,以及相关的主观体验。我们还讨论了将FTD用作未来疾病轨迹预测指标的挑战和机遇,并提倡使用更广泛的抑郁性思维紊乱概念。我们在抑郁症的背景下回顾了与FTD相关的脑网络中断,如突显网络、语言网络和默认模式网络。总之,我们主张更多地关注个人叙事、计算精神病理学,并更广泛地强调思维动态,以加强对抑郁症中思维紊乱的识别。重新重视这一被忽视的精神病理学领域,可能为改善受情绪障碍影响个体的就业和社会功能提供见解。