Bell, V;
Marshall, C;
Kanji, Z;
Wilkinson, S;
Halligan, P;
Deeley, Q;
(2017)
Uncovering Capgras delusion using a large-scale medical records database.
British Journal of Psychiatry Open
, 3
(4)
pp. 179-185.
10.1192/bjpo.bp.117.005041.
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Abstract
BACKGROUND: 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. AIMS: Identify cases of Capgras delusion and associated psychopathology, demographics, cognitive function and neuropathology in light of existing models. METHOD: Combined computational data extraction and qualitative classification using 250 000 case records from South London and Maudsley Clinical Record Interactive Search (CRIS) database. RESULTS: 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. CONCLUSIONS: Capgras is more diverse than current models assume. Identification of rare syndromes complements existing 'big data' approaches in psychiatry. DECLARATION OF INTERESTS: 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.
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