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Around 50% of Parkinson's disease patients experience motor fluctuations after long‐term treatment with levodopa. These fluctuations may be accompanied by mood fluctuations. Routine cross‐sectional assessments cannot capture the extent of these motor and mood fluctuations and their possible associations. Experience sampling techniques that use frequently repeated measurements of symptoms over time are able to capture such fluctuations. Based on such data, longitudinal associations between symptoms can be studied using network analysis.

The purpose of this study is to identify longitudinal associations between motor symptoms and mood states in a patient with Parkinson's disease.

A 53‐year‐old man with Parkinson's disease and motor fluctuations collected experience sampling data during 34 consecutive days. A set of dependent variables included tremor, rigidity …