UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Electrographic Features of Catatonia With or Without Comorbid Delirium

Luccarelli, James; Smith, Joshua R; Turley, Niels; Rogers, Jonathan P; Sun, Haoqi; Kohrman, Samuel I; Fricchione, Gregory; (2025) Electrographic Features of Catatonia With or Without Comorbid Delirium. Journal of Neuropsychiatry and Clinical Neurosciences 10.1176/appi.neuropsych.20240215. (In press). Green open access

[thumbnail of Accepted Manuscript]
Preview
Text (Accepted Manuscript)
Rogers_EEG_Catatonia_Manuscript_R1.pdf

Download (238kB) | Preview
[thumbnail of EEG_Catatonia_SI.docx] Text
EEG_Catatonia_SI.docx - Accepted Version

Download (108kB)
[thumbnail of Fig1.png]
Preview
Text
Fig1.png - Accepted Version

Download (110kB) | Preview
[thumbnail of Fig2.png]
Preview
Text
Fig2.png - Accepted Version

Download (281kB) | Preview

Abstract

OBJECTIVE: Catatonia is an underdiagnosed disorder characterized by speech and motor abnormalities. EEG examinations may improve the accuracy of a catatonia diagnosis, but clinical and electrographic correlations have not been established. The authors describe catatonic features and EEG findings in a large multisite retrospective cohort. // METHODS: The clinical records in two health care systems were searched for patients with an EEG recording and a catatonia assessment with the Bush-Francis Catatonia Rating Scale conducted within 24 hours of each other. Included patients were retrospectively screened for delirium through a chart-based assessment. Augmented inverse propensity weighting (AIPW) was used to estimate the causal effects of delirium and catatonia on the presence of an abnormal EEG finding. / / RESULTS: Overall, 178 patients met inclusion criteria, 144 (81%) of whom had catatonia. Among the patients with catatonia, 43% also had delirium. EEG abnormalities were present among 43% of patients with catatonia, including 28% of patients with catatonia without delirium and 69% of the patients with co-occurring catatonia and delirium. Individual catatonic signs and EEG abnormalities showed only a weak correlation. In AIPW models, a delirium diagnosis was associated with significantly higher odds for an abnormal EEG finding (OR=6.75; 95% CI=2.83-16.14), whereas a diagnosis of catatonia was not (OR=1.83, 95% CI=0.79-4.24). // CONCLUSIONS: EEG abnormalities are common among individuals with catatonia, but these are difficult to disentangle from abnormalities resulting from co-occurring delirium. Further research is needed to define the role of EEG examinations in the assessments of catatonia and delirium.

Type: Article
Title: Electrographic Features of Catatonia With or Without Comorbid Delirium
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1176/appi.neuropsych.20240215
Publisher version: https://doi.org/10.1176/appi.neuropsych.20240215
Language: English
Additional information: This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Catatonia, Delirium, Diagnosis and Classification in Neuropsychiatry, EEG
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry > Institute of Mental Health
URI: https://discovery.ucl.ac.uk/id/eprint/10210876
Downloads since deposit
33Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item