NeuroLog: Symptom-Pattern Logging and Flare-Prediction in Functional Neurological Disorder: Study Protocol (2025)
Keywords:
Functional Neurological Disorder, symptom tracking, biopsychosocial, predictive analytics, patient-led researchAbstract
NeuroLog is a free, anonymous mobile application developed by individuals with lived experience of Functional Neurological Disorder (FND). The platform provides users with a structured framework to log symptom patterns, emotional states, and potential triggers, facilitating more transparent communication with healthcare professionals and improved clinical decision-making. The application embeds the Symptom Amplification Module (SAM), a measurement framework that quantifies symptom severity, emotional state, trigger exposure, and flare likelihood. This protocol defines the methodology for collecting, anonymising, and analysing user-generated data to detect symptom patterns, cluster and identify flare incidence, and develop predictive models estimating flare risk. In this observational study, no therapeutic interventions are assigned to users. Separate protocols will govern future interventional trials
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Copyright (c) 2025 Steve Painter (Author)
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