Welcome to PsychiatryAI.com: [PubMed] - Psychiatry AI Latest

A network analysis of catatonia symptoms across diagnoses

Evidence

Prog Neuropsychopharmacol Biol Psychiatry. 2024 Jul 11:111082. doi: 10.1016/j.pnpbp.2024.111082. Online ahead of print.

ABSTRACT

BACKGROUND: Catatonia, as a transdiagnostic construct, manifests across various psychiatric and non-psychiatric conditions. Understanding how symptom variations impact the catatonia construct and differ across primary diagnoses (schizophrenia, bipolar disorder, unipolar depression, and neurological/metabolic/immunological condition) is essential to refine diagnostic and therapeutic approaches. This study aims to compare the symptom networks and centrality measures of these diagnoses.

METHODS: We conducted a network analysis using Bush-Francis Catatonia Rating Scale (BFCRS) data from 118 patients, examining centrality measures and network comparisons across the four primary diagnostic groups.

RESULTS: In the general catatonia network, the three most central symptoms identified were Excitement (1.462), Perseveration (1.456), and Impulsivity (1.332). While the overall structure of the catatonia networks did not show significant differences between diagnoses in terms of symptom connections and centrality, variations in centrality measures were observed among the different networks.

CONCLUSIONS: The study reinforces the notion of catatonia as an independent syndrome relatively to psychiatric or non-psychiatric diagnoses. However, the variation in centrality of symptoms across different primary diagnoses provides critical insights that could aid clinicians in tailoring diagnostic and therapeutic strategies. Future research should further explore these relationships and develop more refined approaches to managing catatonia.

PMID:39002926 | DOI:10.1016/j.pnpbp.2024.111082

Document this CPD Copy URL Button

Google

Google Keep

LinkedIn Share Share on Linkedin

Estimated reading time: 4 minute(s)

Latest: Psychiatryai.com #RAISR4D Evidence

Cool Evidence: Engaging Young People and Students in Real-World Evidence

Real-Time Evidence Search [Psychiatry]

AI Research

A network analysis of catatonia symptoms across diagnoses

Copy WordPress Title

🌐 90 Days

Evidence Blueprint

A network analysis of catatonia symptoms across diagnoses

QR Code

☊ AI-Driven Related Evidence Nodes

(recent articles with at least 5 words in title)

More Evidence

A network analysis of catatonia symptoms across diagnoses

🌐 365 Days

Floating Tab
close chatgpt icon
ChatGPT

Enter your request.

Psychiatry AI RAISR 4D System Psychiatry + Mental Health