Functional connectivity measures for the prediction of motor learning ability
Not Applicable
- Conditions
- U50.0
- Registration Number
- DRKS00015158
- Lead Sponsor
- Klinik für Neurologie Universität Jena
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 50
Inclusion Criteria
Healthy adult between the ages of 18 and 80 years without previous knowledge in the 10 finger writing system
Exclusion Criteria
Contraindications for MRI
Measurements, experiences with the 10 Finger writing system
Study & Design
- Study Type
- interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Predicting long-term learning success through short-term connectivity changes in the brain during a 12-minute motor learning task. The connectivity changes are calculated as the difference between two resting state measurements taken before and after the short-term learning paradigm. The long-term learning success is measured by the speed and error rate in the final test as well as the learning rate over time in the 10-finger writing system.<br>The primary endpoint is thus the predictive value of the difference of the functional connectivity in the motor system before. after the Sequence Learning task on the long-term learning success.<br>
- Secondary Outcome Measures
Name Time Method • Correlation of long-term learning success with short-term behavioral learning success<br>• Correlation of long-term learning success with age<br>• Correlation of long-term learning success with microvascular changes measured as vascular resistance index in duplex and white matter lesions on MRI<br>• Identification of target regions in the sensorimotor network with high and low predictive value for long-term learning ability<br>• Correlation of long-term learning success with the BrainAge score of structural imaging<br>• Correlation of long-term learning success with structural changes between longitudinal measurements<br>• Correlation of long-term learning success with functional connectivity changes in the sensorimotor network between longitudinal measurements over one week<br>• Correlation of long-term learning success with connectivity changes in the MEG