Parkinson Disease Clinical Trial
Official title:
Motor Learning in Parkinson's Disease: Underlying Effective Connectivity and Influential Factors
| Verified date | November 2023 |
| Source | KU Leuven |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
Parkinson's disease (PD) is characterized by severe motor symptoms that can only be partially alleviated by medication. It was shown previously that rehabilitation is an important therapeutic supplement for micrographia in early disease. However, what is unknown is how motor learning impacts on the underlying neural networks in patients with different disease progression and how this interacts with dopaminergic medication. Furthermore, difficulties with upper limb motor control has a severe impact on the daily lives of PD patients since fine motor skills become increasingly important for the use of smartphones and tablets. Therefore, the current project will include a newly developed Swipe-Slide Pattern test, resembling the pattern codes used to unlock smartphones and tablets. This task will be used to determine learning-induced neuroplasticity of cortico-striatal effective connectivity across disease stages in PD. Using a combination of behavioral assessment and functional magnetic resonance imaging, the investigators aim to contribute to the understanding of upper limb motor learning in patients with PD for the development of individualized rehabilitation programs.
| Status | Active, not recruiting |
| Enrollment | 80 |
| Est. completion date | March 2024 |
| Est. primary completion date | March 2024 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | All |
| Age group | 50 Years to 80 Years |
| Eligibility | Inclusion Criteria: - Diagnosis of Parkinson's disease based on the 'UK Brain Bank' criteria - Right handed - No dementia (Mini Mental State Examination > 24/30) - Early PD group: disease duration of = 2 year since appearance of first symptoms in combination with a maximum score of 2 on each of the upper limb items of the MDS-UPDRS-III - Mid stage PD group: patients are considered as mid-stage in case one of the criteria for early PD is not fulfilled Exclusion Criteria: - Comorbidities of the upper limb that could interfere with the study and are not caused by Parkinson's disease (e.g. arthritis, fractures of the hand, etc.) - Other medical or psychiatric impairments that could interfere with the study protocol - Contra-indications for Magnetic Resonance Imaging - Tremor of the head or right hand, as determined by the Movement Disorders Society Unified Parkinson's disease Rating scale part III - Color blindness as determined by the Ishihara test for color deficiency |
| Country | Name | City | State |
|---|---|---|---|
| Belgium | Department of Rehabilitation Sciences KU Leuven | Leuven |
| Lead Sponsor | Collaborator |
|---|---|
| KU Leuven | Research Foundation Flanders |
Belgium,
Dan X, King BR, Doyon J, Chan P. Motor Sequence Learning and Consolidation in Unilateral De Novo Patients with Parkinson's Disease. PLoS One. 2015 Jul 29;10(7):e0134291. doi: 10.1371/journal.pone.0134291. eCollection 2015. — View Citation
Lin CH, Chiang MC, Wu AD, Iacoboni M, Udompholkul P, Yazdanshenas O, Knowlton BJ. Age related differences in the neural substrates of motor sequence learning after interleaved and repetitive practice. Neuroimage. 2012 Sep;62(3):2007-20. doi: 10.1016/j.neuroimage.2012.05.015. Epub 2012 May 11. — View Citation
Nackaerts E, Ginis P, Heremans E, Swinnen SP, Vandenberghe W, Nieuwboer A. Retention of touchscreen skills is compromised in Parkinson's disease. Behav Brain Res. 2020 Jan 27;378:112265. doi: 10.1016/j.bbr.2019.112265. Epub 2019 Sep 27. — View Citation
Sidaway B, Ala B, Baughman K, Glidden J, Cowie S, Peabody A, Roundy D, Spaulding J, Stephens R, Wright DL. Contextual Interference Can Facilitate Motor Learning in Older Adults and in Individuals With Parkinson's Disease. J Mot Behav. 2016 Nov-Dec;48(6):509-518. doi: 10.1080/00222895.2016.1152221. Epub 2016 Jun 24. — View Citation
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Change in movement time (s) of trained pattern | Using the behavioral data gathered during task-based fMRI, the learning index and retention index, as described in Nackaerts et al. 2020, will be determined and compared between groups (early PD vs mid PD vs HC). | 7 days | |
| Primary | Change in dual task effect | Using the behavioral data gathered before and immediately after task-based fMRI, as well as at immediate and delayed retention, dual task interference will be calculated and compared between groups (early PD vs mid PD vs HC) and time points | 7 days | |
| Primary | Change in brain activity during performance of trained pattern | The BOLD activity pattern will be determined and compared between the 3 training phases (i.e. early learning, late learning and retention) and groups (early PD vs mid PD vs HC). | 7 days | |
| Primary | Change in brain connectivity during performance of trained pattern | The BOLD activity pattern will be determined and connectivity measures will be extracted. Neural network changes will be compared between the 3 training phases (i.e. early learning, late learning and retention) and groups (early PD vs mid PD vs HC). | 7 days | |
| Primary | Diffusion weighted imaging as a predictor | Anatomical connectivity at baseline will be calculated and investigated as a predictive factor for learning capacity. | 7 days | |
| Secondary | Change in Euclidean distance of trained pattern | Using the behavioral data gathered during task-based fMRI, the learning index and retention index, as described in Nackaerts et al. 2020, will be determined and compared between groups (early PD vs mid PD vs HC). | 7 days | |
| Secondary | Change in movement time (s) of the untrained pattern | Using the behavioral data gathered during task-based fMRI, the transfer index, as described in Nackaerts et al. 2020, will be determined and compared between groups (early PD vs mid PD vs HC). | 7 days | |
| Secondary | Change in Euclidean distance of the untrained pattern | Using the behavioral data gathered during task-based fMRI, the transfer index, as described in Nackaerts et al. 2020, will be determined and compared between groups (early PD vs mid PD vs HC). | 7 days | |
| Secondary | Change in brain activity during performance of untrained pattern | The BOLD activity pattern will be determined and compared between the training phases and groups (early PD vs mid PD vs HC). | 7 days | |
| Secondary | Change in brain connectivity during performance of untrained pattern | The BOLD activity pattern will be determined and connectivity measures will be extracted. Neural network changes will be compared between the training phases and groups (early PD vs mid PD vs HC). | 7 days |
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