Abstract
Introduction: Although important to cognitive neuropsychiatry and theories of delusions, Capgras delusion has largely been reported in single case studies. Bell et al. [2017. Uncovering Capgras delusion using a large scale medical records database. British Journal of Psychiatry Open, 3(4), 179–185] previously deployed computational and clinical case identification on a large-scale medical records database to report a case series of 84 individuals with Capgras delusion. We replicated this approach on a new database from a different mental health service provider while additionally examining instances of violence, given previous claims that Capgras is a forensic risk. Methods: We identified 34 additional cases of Capgras. Delusion phenomenology, clinical characteristics, and presence of lesions detected by neuroimaging were extracted. Results: Although most cases involved misidentification of family members or partners, a notable minority (20.6%) included the misidentification of others. Capgras typically did not present as a monothematic delusion. Few cases had identifiable lesions with no evidence of right-hemisphere bias. There was no evidence of physical violence associated with Capgras. Conclusions: Findings closely replicate Bell et al. (2017). The majority of Capgras delusion phenomenology conforms to the “dual route” model although a significant minority of cases cannot be explained by this framework.
| Original language | English |
|---|---|
| Pages (from-to) | 123-134 |
| Number of pages | 12 |
| Journal | Cognitive Neuropsychiatry |
| Volume | 24 |
| Issue number | 2 |
| DOIs | |
| State | Published - 4 Mar 2019 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Funding
VB is supported by a Wellcome Trust Seed Award in Science (200589/Z/16/Z). JFH is supported by a Wellcome Trust Clinical research Career Development Fellowship (211085/Z/18/Z). EC, NW, JFH and VB are supported by the UCLH NIHR Biomedical Research Centre. VB is supported by a Wellcome Trust Seed Award in Science (200589/Z/16/Z). JFH is supported by a Wellcome Trust Clinical research Career Development Fellowship (211085/Z/18/Z). EC, NW, JFH and VB are supported by the UCLH NIHR Biomedical Research Centre.; National Institute for Health Research VB is supported by a Wellcome Trust Seed Award in Science (200589/Z/16/Z). JFH is supported by a Wellcome Trust Clinical research Career Development Fellowship (211085/Z/18/Z). EC, NW, JFH and VB are supported by the UCLH NIHR Biomedical Research Centre.; National Institute for Health Research VB is supported by a Wellcome Trust Seed Award in Science (200589/Z/16/Z). JFH is supported by a Wellcome Trust Clinical research Career Development Fellowship (211085/Z/18/Z). EC, NW, JFH and VB are supported by the UCLH NIHR Biomedical Research Centre.
| Funders | Funder number |
|---|---|
| National Institute for Health Research VB | |
| Wellcome Trust | 211085/Z/18/Z, 200589/Z/16/Z |
| National Institute for Health Research | |
| UCLH Biomedical Research Centre |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Delusional misidentification
- forensic
- neuropsychiatry
- psychosis
- schizophrenia
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