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Tremor: Is Parkinson's disease a dynamical disease?
Anne Beuter1, Konstantinon Vasilakos
1Laboratoire de Neurocinetique (N-8280), Universite du Quebec a Montreal, CP 8888, SUC. A, H3C 3P8 Montreal, CanadaDepartment of Physiology, McGill University, 3655 Drummond Street, Montreal H3G 1Y6, Canada.
Chaos (Woodbury, N.Y.)
|March 1, 1995
Summary
Parkinson's disease patients exhibit short-term fluctuations. A dynamical disease model explains these tremor events, suggesting complex control loop interactions cause transient signals in both healthy and pathological states.
Area of Science:
- Neuroscience
- Biophysics
- Systems Biology
Background:
- Parkinson's disease is characterized by numerous short-term fluctuations.
- Understanding these transient events is crucial for disease management.
Purpose of the Study:
- To investigate short-term fluctuations in Parkinson's disease using dynamical disease concepts.
- To model tremor and analyze transient events in relation to other systemic variables.
Main Methods:
- Analysis of short-term tremor fluctuations in Parkinson's disease patients.
- Examination of systemic variables like respiration and blood pressure.
- Development and simulation of a negative feedback model with delays for tremor.
Main Results:
- Transient events in tremor were analyzed, with respiration and blood pressure also examined in select cases.
- A model based on negative feedback with delays was proposed and used to simulate transient events.
- The model suggests interactions within and between control loops contribute to tremor fluctuations.
Conclusions:
- Interactions between central and peripheral control loops can cause transitory tremor events.
- Interactions between control loops and other systemic signals also contribute to these transient events.
- These mechanisms are relevant for understanding tremor in both pathological (Parkinson's disease) and normal physiological conditions.