Bell Vaughan, Marshall Caryl, Kanji Zara, Wilkinson Sam, Halligan Peter, Deeley Quinton
, PhD DClinPsy, Division of Psychiatry, University College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK.
, MBBS MRCPsych, Lewisham Mental Health Learning Disabilities Team, Behavioural & Developmental, Psychiatry Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, UK.
BJPsych Open. 2017 Aug 3;3(4):179-185. doi: 10.1192/bjpo.bp.117.005041. eCollection 2017 Jul.
Capgras delusion is scientifically important but most commonly reported as single case studies. Studies analysing large clinical records databases focus on common disorders but none have investigated rare syndromes.
Identify cases of Capgras delusion and associated psychopathology, demographics, cognitive function and neuropathology in light of existing models.
Combined computational data extraction and qualitative classification using 250 000 case records from South London and Maudsley Clinical Record Interactive Search (CRIS) database.
We identified 84 individuals and extracted diagnosis-matched comparison groups. Capgras was not 'monothematic' in the majority of cases. Most cases involved misidentified family members or close partners but others were misidentified in 25% of cases, contrary to dual-route face recognition models. Neuroimaging provided no evidence for predominantly right hemisphere damage. Individuals were ethnically diverse with a range of psychosis spectrum diagnoses.
Capgras is more diverse than current models assume. Identification of rare syndromes complements existing 'big data' approaches in psychiatry.
V.B. is supported by a Wellcome Trust Seed Award in Science (200589/Z/16/Z) and the UCLH NIHR Biomedical Research Centre. S.W. is supported by a Wellcome Trust Strategic Award (WT098455MA). Q.D. has received a grant from King's Health Partners.
© The Royal College of Psychiatrists 2017. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) license.
卡普格拉妄想症在科学上具有重要意义，但大多以单个病例研究的形式报道。分析大型临床记录数据库的研究聚焦于常见疾病，尚无研究对罕见综合征进行调查。
根据现有模型，识别卡普格拉妄想症病例及其相关的精神病理学、人口统计学、认知功能和神经病理学特征。
使用来自南伦敦和莫兹利临床记录交互式搜索（CRIS）数据库的250000份病例记录，进行计算数据提取和定性分类相结合的研究。
我们识别出84名个体，并提取了诊断匹配的对照组。在大多数病例中，卡普格拉妄想并非“单主题”。大多数病例涉及认错家庭成员或亲密伴侣，但在25%的病例中认错的是其他人，这与双路径人脸识别模型相悖。神经影像学未提供主要为右半球损伤的证据。个体在种族上具有多样性，有一系列精神病谱系诊断。
卡普格拉妄想症比当前模型所假设的更为多样。罕见综合征的识别补充了精神病学中现有的“大数据”方法。
V.B. 获得了惠康信托科学种子奖（200589/Z/16/Z）和UCLH NIHR生物医学研究中心的支持。S.W. 获得了惠康信托战略奖（WT098455MA）。Q.D. 获得了国王健康伙伴组织的资助。
© 皇家精神病学院2017年。本文是一篇开放获取文章，根据知识共享非商业性、无衍生作品（CC BY-NC-ND）许可协议发布。
