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Motor functional neurological disorder (FND) is a common illness associated with significant functional impairment. There are no effective pharmacotherapies, and despite the early promise of physiotherapy studies, many suffer disabling symptoms in the long term. There is a theoretical rationale for combining psychedelics with physiotherapy; however, the potential benefit of this approach and optimal treatment model remains unexplored. Here, we present the protocol for the first study investigating the tolerability, feasibility, and potential efficacy of two distinct treatment regimens of psilocybin-assisted physiotherapy for refractory motor FND: a moderate dose that incorporates movement tasks during the acute drug effects versus a standard dose alone.
Methods:
Twenty-four participants with refractory motor FND will be randomised in a 1:1 ratio to either (1) psilocybin 15 mg, with movement tasks conducted during the acute drug effects, or (2) psilocybin 25 mg alone. All participants will receive two sessions of FND-specific physiotherapy pre-dosing, six sessions of physiotherapy post-dosing, and undergo follow-up visits one week and four weeks following their final physiotherapy session. A battery of outcome measures will be completed as scheduled, assessing tolerability, feasibility, motor FND symptom severity, psychiatric and physical symptoms, quality of life, treatment expectations, intensity of the acute drug effects, personality, motor function, force-matching performance, resting-state and task-based brain imaging, and subjective experiences of the study treatment.
Discussion:
These findings will assist the design of an adequately powered randomised controlled trial in this cohort. The findings may also inform the feasibility of psychedelic treatment in related functional and neuropsychiatric disorders.
Visual displays of data in the parasitology literature are often presented in a way which is not very informative regarding the distribution of the data. An example being simple barcharts with half an error bar on top to display the distribution of parasitaemia and biomarkers of host immunity. Such displays obfuscate the shape of the data distribution through displaying too few statistical measures to explain the spread of all the data and selecting statistical measures which are influenced by skewness and outliers. We describe more informative, yet simple, visual representations of the data distribution commonly used in statistics and provide guidance with regards to the display of estimates of population parameters (e.g. population mean) and measures of precision (e.g. 95% confidence interval) for statistical inference. In this article we focus on visual displays for numerical data and demonstrate such displays using an example dataset consisting of total IgG titres in response to three Plasmodium blood antigens measured in pregnant women and parasitaemia measurements from the same study. This tutorial aims to highlight the importance of displaying the data distribution appropriately and the role such displays have in selecting statistics to summarize its distribution and perform statistical inference.
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