简介：
Overview
This protocol provides a method to digitize clinical tasks used to assess cognition and motor control in Parkinson's disease. By co-registering biophysical rhythms from various functional levels of the nervous system, it aims to identify dynamic digital biomarkers.
Key Study Components
Area of Science
- Neuroscience
- Clinical Psychology
- Biomedical Engineering
Background
- Parkinson's disease presents with heterogeneous cognitive and motor symptoms.
- Traditional clinical assessments can be enhanced through digitization.
- Wearable sensors allow for real-time data collection across multiple physiological domains.
- Understanding the interplay of cognition, motion, and emotion is crucial for personalized treatment.
Purpose of Study
- To stratify Parkinson's disease based on cognitive and motor severity.
- To develop a framework for tracking neurological disorder signatures.
- To create dynamic digital biomarkers that reflect individual patient profiles.
Methods Used
- Utilization of wearable sensors for motion and EEG data collection.
- Setup of motion-capture systems with wireless sensors for body tracking.
- Implementation of audio and visual recording to synchronize data streams.
- Execution of various cognitive and motor tasks to assess participant performance.
Main Results
- Successful digitization of clinical tasks allows for detailed analysis of cognitive and motor functions.
- Dynamic biomarkers provide insights into the progression of Parkinson's disease.
- Real-time data collection enhances understanding of patient variability.
- Integration of multiple data streams improves the robustness of findings.
Conclusions
- The protocol offers a comprehensive approach to studying Parkinson's disease.
- Digitization of clinical tasks can lead to better patient stratification.
- This method may facilitate personalized treatment strategies in clinical settings.
What is the main goal of this protocol?
The main goal is to digitize clinical tasks for assessing cognition and motor control in Parkinson's disease.
How are the data streams synchronized?
Data streams are synchronized using a lab stream layer system that links EEG, motion, and audio recordings.
What types of tasks are included in the protocol?
Tasks include drawing, pointing, and walking assessments, among others.
What technology is used for data collection?
Wearable sensors, motion-capture systems, and EEG devices are utilized for data collection.
Who demonstrates the procedures in the lab?
Graduate students Jihye Ryu and Joseph Vero demonstrate the procedures.
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