Vol. 1 No. 2 (2025)
Research Article

NeuroLog: Symptom-Pattern Logging and Flare-Prediction in Functional Neurological Disorder:  Study Protocol (2025)

DOI: 10.26407/40zngv75
Steve Painter Researcher

Published 2025-10-13

Keywords

  • Functional Neurological Disorder,
  • symptom tracking,
  • biopsychosocial,
  • predictive analytics,
  • patient-led research

How to Cite

NeuroLog: Symptom-Pattern Logging and Flare-Prediction in Functional Neurological Disorder:  Study Protocol (2025). (2025). ReAttach Affect Coach Journal, 1(2). https://doi.org/10.26407/40zngv75

Abstract

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

Downloads

Download data is not yet available.

References