Parkinson DiseaseNCT04269590
Triggering Motor Memory Consolidation in PD: Complex Practice of Fine Motor Tasks and Brain Activity During Learning
A study testing Dual Task (DT) training and Single Task (ST) training in people with Parkinson Disease, run by KU Leuven at 1 site in Belgium.
Trial summary
Parkinson's disease (PD) is characterized by severe motor symptoms, including upper limb dysfunction, that is only partially alleviated by medication. PD is also a motor learning disease due to the degradation of the striatum, involved in the consolidation of motor memory. Read more about this study
- Who is it for?
- Ages 50 to 80 yearsHealthy volunteers can take part
- Conditions the study is for
- Parkinson Disease
- What is being tested?
- Dual Task (DT) training and Single Task (ST) training
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 80 participants
- Where
- 1 siteBelgium
- Study dates
- 3 May 2021to 16 May 2023
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 50 to 80 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Diagnosis of Parkinson's disease based on the 'UK Brain Bank' criteria
- Hoehn and Yahr (H\&Y) stage I-III
- Without a history of intervening co-morbidities
- Right handed
- Participants in H\&Y stage I should have the right side as the most affected side
Who cannot join
- Cognitive decline (Mini Mental State Examination < 24)
- Visual impairments that impede the following of visual targets
- Comorbidities of the upper limb that could interfere with the study and are not caused by Parkinson's disease
- Contra-dinidcations for Magnetic Resonance Imaging (MRI)
- 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
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Triggering Motor Memory Consolidation in Parkinson's Disease: the Effects of Complex Practice on Brain Activity During Learning of Fine Motor Tasks
Parkinson's disease (PD) is characterized by severe motor symptoms, including upper limb dysfunction, that is only partially alleviated by medication. PD is also a motor learning disease due to the degradation of the striatum, involved in the consolidation of motor memory. We showed earlier that motor practice improves writing deficits and that there is long term potential when it is applied in a focused manner. However, retention difficulties were also apparent. What is currently unclear, is which learning method leads to optimal retention in PD and how it is expressed in underlying neural network changes. In healthy controls, retention is improved by incorporating dual task (DT) conditions or by loading cognition during learning. Our own work showed that DT training also led to better retention than single task (ST) learning, at least in a subgroup of PD. Using a combination of behavioral assessment, functional magnetic resonance imaging and upper limb task training, this project aims to understand how to boost the robustness of practice in PD. Throughout, we will contrast ST with DT learning. As complex practice can now easily be delivered via novel technology, this study will set out future avenues for rehabilitation targeted at specific neural circuitry.
Read the detailed description
For this study, 40 healthy elderly and 40 patients with Parkinson's disease (PD) will be included. Sample size was calculated combining results of a pilot study using the Swipe-Slide Pattern (SSP) task (Nackaerts et al. 2020, Behav Brain Res) and literature on complex task training (Lin et al. 2012, Neuroimage; Sidaway et al. 2016, J Mot Behav). The pilot study showed that movement time at retention, after ST training, was on average 2.824s ± 1.015 for sequence swiping. Based on the literature, we assumed a 13.5% difference between DT and ST training at retention. Importantly, we hypothesized a similar benefit from DT-training in PD patients and HC. Using a β = 0.20 and α = 0.05 sample size was calculated for a repeated measured ANOVA analysis with a within-between factor interaction design (within: pre vs post vs retention; between: ST vs DT). Total sample size was estimated at 62 participants, divided in 31 in ST-training and 31 in DT-training. Taking into account a 30% dropout (either from the study or due to data loss), this resulted in 40 subjects in ST-training and 40 in DT-training. PD patients and HC will be divided equally across training types, resulting in 40 PD patients and 40 HC to be randomized to a ST or DT training arm. Patients will be tested during the OFF phase of the medication cycle, i.e. approximately 12 h after last medication intake.
Participants will first undergo an inclusion session at home. During this session, they will undergo an extensive behavioral test battery, assessing cognitive and motor skills. Patients will start this session in the OFF phase of the medication phase and will therefore be asked to postpone their morning medication. First, motor skills will be assessed by means of the Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) and Clinch token transfer test (C3T). Cognitive assessment includes the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and Trail Making Test (TMT). Additionally, tablet skills will be tested extensively using a newly developed test battery, including performance of tapping between two spots, swiping in a single direction and swiping in multiple directions in random order, in single and dual task conditions. Additionally, a mobile phone task will be performed in which participants have to type in a pre-defined phone number on a smartphone. This part of the assessment will take approximately 60 min. Afterwards patients will be able to take their regular medication and several questionnaires will be filled out. These include the New Freezing Of Gait Questionnaire (NFOG-Q), the non-gait freezing questionnaire, the Dexterity questionnaire (DextQ-24), the Mobile Device Proficiency Questionnaire (MDPQ-16), questions regarding smartphone and tablet use and remaining parts of the MDS-UPDRS. Furthermore, daily levodopa doses will be recorded. Healthy controls will undergo a similar protocol, though disease-specific assessments and questionnaires will not be performed (i.e. MDS-UPDRS, NFOG-Q, non-gait freezing questionnaire and medication intake).
Following inclusion, participants will be invited to the radiology dept. UZ Leuven. They will train the SSP-task on an MRI-compatible tablet, while their hemodynamic responses are measured using fMRI. Training will include two runs of 7 min 50 s, either as ST or DT depending on randomization. The SSP-task is based on the finger movements that have to be made to unlock smartphones or tablets or the trajectory that can be used to quickly form words using a keyboard on a smartphone. During this test, participants will have to make different pre-defined patterns. To reduce cognitive load, the pattern will be visible in one of the upper corners of the screen. During the task, participants will be able to see the lines they are drawing. Every pattern will begin in one of nine circles and will consist of equally long movements. Participants will be asked to move the hand without fully lifting the finger stylus from the screen to maintain the online trace. In addition, participants will be instructed to return to a fixed starting point when the pattern is complete. The secondary task consists of counting the number of red or green lights that are illuminated in the peripheral view during task performance. An MRI-compatible version of the touch-sensitive tablet will be used. Participants will see the trace of their pen on the tablet by means of a built-in mirror on top of the head coil. In addition to the task-based fMRI, a high-resolution T1-weighted anatomical scan and diffusion weighted imaging will be performed. Before and after training, ST and DT performance on the SSP-task will be assessed outside the scanner, using a different pattern to avoid learning. Participants will also perform the mobile phone task and tapping between two spots test. Additionally, participants will fill out the Hospital Anxiety and Depression Scale (HADS) and Pittsburgh Sleep Quality Index (PSQI).
From day 2 till 5, participants will continue practice of the SSP-task at home. For this, participants will be asked to perform the SSP-task on a tablet each morning, for patients this will be just before taking their regular medication. These training sessions will be limited to 10 minutes and contain the pattern that was learned on day 1, as well as two new patterns to allow variation. The patterns will be offered in a random order, as research has shown that random practice can improve retention and transfer in both healthy elderly adults and patients with PD. On day 5, the researcher will go to the participants' home and perform an immediate retention test, involving the single- and dual task version of the SSP-task. On days 6 and 7 participants will not practice to allow for a retention period. On day 8, all participants will have a (delayed) retention/transfer scan, consisting of two runs in either ST or DT mode: (i) a run containing the learned pattern; and (ii) a run including a new pattern to assess transfer. Again, ST and DT performance on the SSP-task will be assessed outside the scanner, using a different pattern to avoid learning. Participants will also perform the mobile phone task and tapping between two spots test. To minimize head movements during the scan itself, a vacuum fixation pillow to accommodate these difficulties will be used.
- Conditions
- Parkinson Disease
- Being tested
- Dual Task (DT) training, Single Task (ST) training
- Keywords
- Neurologic rehabilitation, Dual tasking, Motor learning
- Medical subject headings
- Parkinson Disease
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Dual Task (DT) trainingBehavioural
Participants will practice the Swipe Slide Pattern (SSP) task in combination with a secondary task, i.e. counting red or green lights. On day 1, participants perform 2 runs of the SSP-task (only one pattern), each lasting approx. 10 min, within an MR scanner. During each run, 9 trials of 30s are performed, alternated with rest periods of 14s. Instructions are provided before each trial (i.e. view of the pattern in combination with instruction to count red or green lights, 4s), as well as an answer option (i.e. participants have to indicate how many red or green lights they counted by circling a number from zero to nine, 6s). For the following 4 days, participants will continue practice of the SSP-task at home. During the at-home-sessions, participants will perform 9 trials of 12 patterns each, alternated with rest periods of 14s. Instruction and answers are also included. During at home practice, the same pattern as during scans is included, in combination with 2 new patterns.
Single Task (ST) trainingBehavioural
Participants will practice the Swipe Slide Pattern (SSP) task without the presence of a secondary task. On day 1, participants perform two runs of the SSP-task (only one pattern), each lasting approx. 10 min, within an MR scanner. During each run, nine trials of 30s are performed, alternated with rest periods of 14s. In addition, instructions are provided before each trial (i.e. view of the pattern, 4s), as well as an answer option (i.e. participants have circle a random number from zero to nine, 6s). For the following four days (day 2-5), participants will continue practice of the SSP-task at home. During the at-home-sessions, participants will perform nine trials of 12 patterns each, alternated with rest periods of 14s. Instruction are also included. During at home practice, the same pattern as during scans is included, in combination with two new patterns.
| Study group | Role | What they receive |
|---|---|---|
| Dual Task (DT) training - PD | Experimental | Combination of practicing the Swipe Slide Pattern task and a secondary task for a group of patients with Parkinson's disease (PD) Receives: Behavioral: Dual Task (DT) training |
| Single Task (ST) training - PD | Active comparator | Practice of the Swipe Slide Pattern task alone for a group of patients with Parkinson's disease (PD) Receives: Behavioral: Single Task (ST) training |
| Dual Task (DT) training - HC | Experimental | Combination of practicing the Swipe Slide Pattern task and a secondary task for a group of healthy age-matched controls. Receives: Behavioral: Dual Task (DT) training |
| Single Task (ST) training - HC | Active comparator | Practice of the Swipe Slide Pattern task alone for a group of healthy age-matched controls Receives: Behavioral: Single Task (ST) training |
What is being measured
The primary outcome is the main question the study is designed to answer.
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 training types (ST vs DT) and groups (PD vs HC).
Measured: 7 days
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 training types (ST vs DT), groups (PD vs HC) and time points.
Measured: 7 days
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), between training types (ST vs DT) and groups (PD vs HC).
Measured: 7 days
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), between training types (ST vs DT) and groups (PD vs HC).
Measured: 7 days
Diffusion weighted imaging as a predictor
Anatomical connectivity at baseline will be calculated and investigated as a predictive factor for learning capacity.
Measured: 7 days
Secondary outcomes (5)
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 training types (ST vs DT) and groups (PD vs HC).
Measured: 7 days
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 training types (ST vs DT) and groups (PD vs HC).
Measured: 7 days
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 training types (ST vs DT) and groups (PD vs HC).
Measured: 7 days
Change in brain activity during performance of untrained pattern
The BOLD activity pattern will be determined and compared between the training phases, training types (ST vs DT) and groups (PD vs HC).
Measured: 7 days
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, between training types (ST vs DT) and groups (PD vs HC).
Measured: 7 days
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 Feb 2020
- Study start3 May 2021
- Primary completion16 May 2023
- Study completion16 May 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for Parkinson DiseaseStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 80 participants (actual)
Sponsor and investigators
- Lead sponsor
- KU Leuven
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Alice Nieuwboer, KU Leuven
- Investigators
- Alice Nieuwboer, PhD, Principal investigator, KU Leuven
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04269590
- Sponsor's protocol ID
- G0A5619N
- Status last verified
- Dec 2025
- First submitted
- 10 Feb 2020
- Last updated
- 18 Dec 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
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.
PubMed 31568836Lin 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.
PubMed 22584226Sidaway 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.
PubMed 27340809
Study at a glance
From the registry record, last updated by the sponsor on 18 Dec 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Triggering Motor Memory Consolidation in Parkinson's Disease: the Effects of Complex Practice on Brain Activity During Learning of Fine Motor Tasks
- ClinicalTrials.gov ID
- NCT04269590
- Acronym / sponsor ID
- G0A5619N
- Conditions
- Parkinson Disease
- Keywords
- Neurologic rehabilitation, Dual tasking, Motor learning
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 80 participants (actual)
- Lead sponsor
- KU LeuvenUniversity, hospital or other
- Study start
- 3 May 2021 (actual)
- Primary completion
- 16 May 2023 (actual)
- Study completion
- 16 May 2023 (actual)
- First posted
- 17 Feb 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Parkinson's disease (PD) is characterized by severe motor symptoms, including upper limb dysfunction, that is only partially alleviated by medication. PD is also a motor learning disease due to the degradation of the striatum, involved in the consolidation of motor memory. We showed earlier that motor practice improves writing deficits and that there is long term potential when it is applied in a focused manner. However, retention difficulties were also apparent. What is currently unclear, is which learning method leads to optimal retention in PD and how it is expressed in underlying neural network changes. In healthy controls, retention is improved by incorporating dual task (DT) conditions or by loading cognition during learning. Our own work showed that DT training also led to better retention than single task (ST) learning, at least in a subgroup of PD. Using a combination of behavioral assessment, functional magnetic resonance imaging and upper limb task training, this project aims to understand how to boost the robustness of practice in PD. Throughout, we will contrast ST with DT learning. As complex practice can now easily be delivered via novel technology, this study will set out future avenues for rehabilitation targeted at specific neural circuitry.
Detailed description
For this study, 40 healthy elderly and 40 patients with Parkinson's disease (PD) will be included. Sample size was calculated combining results of a pilot study using the Swipe-Slide Pattern (SSP) task (Nackaerts et al. 2020, Behav Brain Res) and literature on complex task training (Lin et al. 2012, Neuroimage; Sidaway et al. 2016, J Mot Behav). The pilot study showed that movement time at retention, after ST training, was on average 2.824s ± 1.015 for sequence swiping. Based on the literature, we assumed a 13.5% difference between DT and ST training at retention. Importantly, we hypothesized a similar benefit from DT-training in PD patients and HC. Using a β = 0.20 and α = 0.05 sample size was calculated for a repeated measured ANOVA analysis with a within-between factor interaction design (within: pre vs post vs retention; between: ST vs DT). Total sample size was estimated at 62 participants, divided in 31 in ST-training and 31 in DT-training. Taking into account a 30% dropout (either from the study or due to data loss), this resulted in 40 subjects in ST-training and 40 in DT-training. PD patients and HC will be divided equally across training types, resulting in 40 PD patients and 40 HC to be randomized to a ST or DT training arm. Patients will be tested during the OFF phase of the medication cycle, i.e. approximately 12 h after last medication intake.
Participants will first undergo an inclusion session at home. During this session, they will undergo an extensive behavioral test battery, assessing cognitive and motor skills. Patients will start this session in the OFF phase of the medication phase and will therefore be asked to postpone their morning medication. First, motor skills will be assessed by means of the Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) and Clinch token transfer test (C3T). Cognitive assessment includes the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and Trail Making Test (TMT). Additionally, tablet skills will be tested extensively using a newly developed test battery, including performance of tapping between two spots, swiping in a single direction and swiping in multiple directions in random order, in single and dual task conditions. Additionally, a mobile phone task will be performed in which participants have to type in a pre-defined phone number on a smartphone. This part of the assessment will take approximately 60 min. Afterwards patients will be able to take their regular medication and several questionnaires will be filled out. These include the New Freezing Of Gait Questionnaire (NFOG-Q), the non-gait freezing questionnaire, the Dexterity questionnaire (DextQ-24), the Mobile Device Proficiency Questionnaire (MDPQ-16), questions regarding smartphone and tablet use and remaining parts of the MDS-UPDRS. Furthermore, daily levodopa doses will be recorded. Healthy controls will undergo a similar protocol, though disease-specific assessments and questionnaires will not be performed (i.e. MDS-UPDRS, NFOG-Q, non-gait freezing questionnaire and medication intake).
Following inclusion, participants will be invited to the radiology dept. UZ Leuven. They will train the SSP-task on an MRI-compatible tablet, while their hemodynamic responses are measured using fMRI. Training will include two runs of 7 min 50 s, either as ST or DT depending on randomization. The SSP-task is based on the finger movements that have to be made to unlock smartphones or tablets or the trajectory that can be used to quickly form words using a keyboard on a smartphone. During this test, participants will have to make different pre-defined patterns. To reduce cognitive load, the pattern will be visible in one of the upper corners of the screen. During the task, participants will be able to see the lines they are drawing. Every pattern will begin in one of nine circles and will consist of equally long movements. Participants will be asked to move the hand without fully lifting the finger stylus from the screen to maintain the online trace. In addition, participants will be instructed to return to a fixed starting point when the pattern is complete. The secondary task consists of counting the number of red or green lights that are illuminated in the peripheral view during task performance. An MRI-compatible version of the touch-sensitive tablet will be used. Participants will see the trace of their pen on the tablet by means of a built-in mirror on top of the head coil. In addition to the task-based fMRI, a high-resolution T1-weighted anatomical scan and diffusion weighted imaging will be performed. Before and after training, ST and DT performance on the SSP-task will be assessed outside the scanner, using a different pattern to avoid learning. Participants will also perform the mobile phone task and tapping between two spots test. Additionally, participants will fill out the Hospital Anxiety and Depression Scale (HADS) and Pittsburgh Sleep Quality Index (PSQI).
From day 2 till 5, participants will continue practice of the SSP-task at home. For this, participants will be asked to perform the SSP-task on a tablet each morning, for patients this will be just before taking their regular medication. These training sessions will be limited to 10 minutes and contain the pattern that was learned on day 1, as well as two new patterns to allow variation. The patterns will be offered in a random order, as research has shown that random practice can improve retention and transfer in both healthy elderly adults and patients with PD. On day 5, the researcher will go to the participants' home and perform an immediate retention test, involving the single- and dual task version of the SSP-task. On days 6 and 7 participants will not practice to allow for a retention period. On day 8, all participants will have a (delayed) retention/transfer scan, consisting of two runs in either ST or DT mode: (i) a run containing the learned pattern; and (ii) a run including a new pattern to assess transfer. Again, ST and DT performance on the SSP-task will be assessed outside the scanner, using a different pattern to avoid learning. Participants will also perform the mobile phone task and tapping between two spots test. To minimize head movements during the scan itself, a vacuum fixation pillow to accommodate these difficulties will be used.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 4
| Arm | Type | Receives |
|---|---|---|
| Dual Task (DT) training - PD | Experimental | Behavioral: Dual Task (DT) trainingCombination of practicing the Swipe Slide Pattern task and a secondary task for a group of patients with Parkinson's disease (PD) |
| Single Task (ST) training - PD | Active comparator | Behavioral: Single Task (ST) trainingPractice of the Swipe Slide Pattern task alone for a group of patients with Parkinson's disease (PD) |
| Dual Task (DT) training - HC | Experimental | Behavioral: Dual Task (DT) trainingCombination of practicing the Swipe Slide Pattern task and a secondary task for a group of healthy age-matched controls. |
| Single Task (ST) training - HC | Active comparator | Behavioral: Single Task (ST) trainingPractice of the Swipe Slide Pattern task alone for a group of healthy age-matched controls |
Who may qualify
- Ages
- 50 to 80 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (5 listed)
- Diagnosis of Parkinson's disease based on the 'UK Brain Bank' criteria
- Hoehn and Yahr (H\&Y) stage I-III
- Without a history of intervening co-morbidities
- Right handed
- Participants in H\&Y stage I should have the right side as the most affected side
Key exclusion criteria (6 listed)
- Cognitive decline (Mini Mental State Examination < 24)
- Visual impairments that impede the following of visual targets
- Comorbidities of the upper limb that could interfere with the study and are not caused by Parkinson's disease
- Contra-dinidcations for Magnetic Resonance Imaging (MRI)
- Tremor of the head or right hand, as determined by the Movement Disorders Society Unified Parkinson's disease Rating scale part III
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Dual Task (DT) trainingParticipants will practice the Swipe Slide Pattern (SSP) task in combination with a secondary task, i.e. counting red or green lights. On day 1, participants perform 2 runs of the SSP-task (only one pattern), each lasting approx. 10 min, within an MR scanner. During each run, 9 trials of 30s are performed, alternated with rest periods of 14s. Instructions are provided before each trial (i.e. view of the pattern in combination with instruction to count red or green lights, 4s), as well as an answer option (i.e. participants have to indicate how many red or green lights they counted by circling a number from zero to nine, 6s). For the following 4 days, participants will continue practice of the SSP-task at home. During the at-home-sessions, participants will perform 9 trials of 12 patterns each, alternated with rest periods of 14s. Instruction and answers are also included. During at home practice, the same pattern as during scans is included, in combination with 2 new patterns. | Behavioural | Dual Task (DT) training - HC, Dual Task (DT) training - PD |
| Single Task (ST) trainingParticipants will practice the Swipe Slide Pattern (SSP) task without the presence of a secondary task. On day 1, participants perform two runs of the SSP-task (only one pattern), each lasting approx. 10 min, within an MR scanner. During each run, nine trials of 30s are performed, alternated with rest periods of 14s. In addition, instructions are provided before each trial (i.e. view of the pattern, 4s), as well as an answer option (i.e. participants have circle a random number from zero to nine, 6s). For the following four days (day 2-5), participants will continue practice of the SSP-task at home. During the at-home-sessions, participants will perform nine trials of 12 patterns each, alternated with rest periods of 14s. Instruction are also included. During at home practice, the same pattern as during scans is included, in combination with two new patterns. | Behavioural | Single Task (ST) training - HC, Single Task (ST) training - PD |
Primary outcome
Change in movement time (s) of trained pattern
Time frame: 7 days
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 training types (ST vs DT) and groups (PD vs HC).
Change in dual task effect
Time frame: 7 days
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 training types (ST vs DT), groups (PD vs HC) and time points.
Change in brain activity during performance of trained pattern
Time frame: 7 days
The BOLD activity pattern will be determined and compared between the 3 training phases (i.e. early learning, late learning and retention), between training types (ST vs DT) and groups (PD vs HC).
Change in brain connectivity during performance of trained pattern
Time frame: 7 days
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), between training types (ST vs DT) and groups (PD vs HC).
Diffusion weighted imaging as a predictor
Time frame: 7 days
Anatomical connectivity at baseline will be calculated and investigated as a predictive factor for learning capacity.
5 secondary outcomes
Change in Euclidean distance of trained pattern
Time frame: 7 days
Change in movement time (s) of the untrained pattern
Time frame: 7 days
Change in Euclidean distance of the untrained pattern
Time frame: 7 days
Change in brain activity during performance of untrained pattern
Time frame: 7 days
Change in brain connectivity during performance of untrained pattern
Time frame: 7 days
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 18 Dec 2025.
- Background: PubMed 31568836Nackaerts 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.
- Background: PubMed 22584226Lin 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.
- Background: PubMed 27340809Sidaway 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.
- Individual participant dataSharing planned: No
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A Study to Evaluate Efficacy, Safety and Tolerability of Hydroxychloroquine in Subjects With Parkinson's Disease
Parkinson&Amp;#39;s Disease
Not yet recruitingPhase 1/2
STAR0602 With Nivolumab in Non Small Cell Lung Cancer and in Metastatic Castrate-Resistant Prostate Cancer, and STAR0602 Alone in Thymic Carcinoma
NSCLC, Non-Small Cell Lung Cancer
Not yet recruiting
Cognitive-Motor Training for Gait Adaptability in Parkinson Disease
Parkinson Disease
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Alice Nieuwboer, PhD principal investigator
KU Leuven
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Dual Task (DT) training and Single Task (ST) training in people with Parkinson Disease, run by KU Leuven at 1 site in Belgium.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 18 Dec 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Belgium. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change in movement time (s) of trained pattern (time frame: 7 days). The study lists 5 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04269590, which also lists 3 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 18 Dec 2025.