- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06395142
Plantar Pressure and Electroencephalographic Signals During Pedal and Vision-deprived Walking in Stroke Patients.
June 30, 2024 updated by: Jing Zhao, Geriatric Hospital of Nanjing Medical University
Changes of Plantar Pressure and Electroencephalographic Signals During Pedal Walking and Vision-deprivation Walking in Stroke Patients.
Complex task training may be more effective than simple task training in promoting functional recovery and brain restructuring in stroke participants.
The researchers intend to investigate the real-time changes in plantar pressure and electroencephalographic signals in stroke participants during two complex tasks: pedal walking and visual-deprivation walking.
The research hypothesis is that pedal walking and visual-deprivation walking can improve the difference of plantar pressure between the affected and unaffected lower limbs of stroke participants, and cause corresponding electroencephalographic changes.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
Stroke participants perform the following tasks after wearing a plantar pressure device and a 32-lead electroencephalographic cap.
First, stroke participants walk on the pedal on the lower limbs of the affected side.
Then the researchers cover the participants' eyes with an eye mask, the participants perform the task of visual-deprivation walking.
Finally, the participants walk on a flat surface.
Each walking task lasts for 60 seconds.
The participants can rest for 3-5 minutes between tasks.
Study Type
Observational
Enrollment (Actual)
60
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Jiangsu
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Nanjing, Jiangsu, China, 210000
- Geriatric Hospital of Nanjing Medical University
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Probability Sample
Study Population
Stroke participants recruited from inpatient and outpatient departments of tertiary hospitals.
Description
Inclusion Criteria:
- MRI or CT diagnosis of the first stroke onset;
- The onset of the stroke occurred more than 30 days;
- Safely walk 50 meters without assistance.
Exclusion Criteria:
- Cerebellar injury;
- Brain stem injury;
- Visual impairment.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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stroke participants
Stroke participants performe pedal walking and visual-deprivation walking successively.
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Pedal walking is a challenging task for stroke participants and can be used as a means of stroke rehabilitation.
A cross-sectional study is conducted to investigate the real-time changes in plantar pressure and electroencephalogram during pedal walking in stroke participants.
visual-deprivation walking is a challenging task for stroke participants and can be used as a means of stroke rehabilitation.A cross-sectional study is conducted to investigate the real-time changes in plantar pressure and electroencephalogram during visual-deprivation walking in stroke participants.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
phase-amplitude coupling
Time Frame: Real-time monitoring of electroencephalography data will occur while participants are walking. The Time Frame for data collection will encompass the entire duration of each participant's walking session, which lasts for 60 seconds.
|
Phase-amplitude coupling is a type of cross-phase coupling that represents the coupling between the phase of slow oscillations and the amplitude of fast oscillations.
|
Real-time monitoring of electroencephalography data will occur while participants are walking. The Time Frame for data collection will encompass the entire duration of each participant's walking session, which lasts for 60 seconds.
|
|
phase-frequency coupling
Time Frame: Real-time monitoring of electroencephalography data will occur while participants are walking. The Time Frame for data collection will encompass the entire duration of each participant's walking session, which lasts for 60 seconds.
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Phase-frequency coupling is a generic form of the cross-frequency coupling model, representing the coupling between the slow oscillations phase and the fast oscillations frequency.
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Real-time monitoring of electroencephalography data will occur while participants are walking. The Time Frame for data collection will encompass the entire duration of each participant's walking session, which lasts for 60 seconds.
|
|
phase-phase coupling
Time Frame: Real-time monitoring of electroencephalography data will occur while participants are walking. The Time Frame for data collection will encompass the entire duration of each participant's walking session, which lasts for 60 seconds.
|
Phase-phase coupling is a special form of cross-phase coupling that represents the coupling between the phases of slow and fast oscillations, which can occur even when the coupling is very weak.
|
Real-time monitoring of electroencephalography data will occur while participants are walking. The Time Frame for data collection will encompass the entire duration of each participant's walking session, which lasts for 60 seconds.
|
|
Amplitude-amplitude coupling
Time Frame: Real-time monitoring of electroencephalography data will occur while participants are walking. The Time Frame for data collection will encompass the entire duration of each participant's walking session, which lasts for 60 seconds.
|
Amplitude-amplitude coupling is a form of cross-phase coupling that represents the coupling between the amplitudes of slow oscillations and fast oscillations .
|
Real-time monitoring of electroencephalography data will occur while participants are walking. The Time Frame for data collection will encompass the entire duration of each participant's walking session, which lasts for 60 seconds.
|
|
relative power
Time Frame: Real-time monitoring of electroencephalography data will occur while participants are walking. The Time Frame for data collection will encompass the entire duration of each participant's walking session, which lasts for 60 seconds.
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Relative power reflects the frequency domain changes of electroencephalogram.
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Real-time monitoring of electroencephalography data will occur while participants are walking. The Time Frame for data collection will encompass the entire duration of each participant's walking session, which lasts for 60 seconds.
|
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weight Phase Lag Index
Time Frame: Real-time monitoring of electroencephalography data will occur while participants are walking. The Time Frame for data collection will encompass the entire duration of each participant's walking session, which lasts for 60 seconds.
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The weight phase lag index is an index of brain functional connectivity, can continuously measure the connectivity of the coupling of neural oscillatory activity.
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Real-time monitoring of electroencephalography data will occur while participants are walking. The Time Frame for data collection will encompass the entire duration of each participant's walking session, which lasts for 60 seconds.
|
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peak pressure
Time Frame: Through study completion, an average of 2 months.
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Peak pressure reflects the maximum pressure on the entire sole of the foot.
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Through study completion, an average of 2 months.
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Study Chair: Xia Li Zhang, doctor, Geriatric Hospital of Nanjing Medical University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Oliveira AS, Schlink BR, Hairston WD, Konig P, Ferris DP. Restricted vision increases sensorimotor cortex involvement in human walking. J Neurophysiol. 2017 Oct 1;118(4):1943-1951. doi: 10.1152/jn.00926.2016. Epub 2017 Jul 5.
- Fettrow T, Hupfeld K, Tays G, Clark DJ, Reuter-Lorenz PA, Seidler RD. Brain activity during walking in older adults: Implications for compensatory versus dysfunctional accounts. Neurobiol Aging. 2021 Sep;105:349-364. doi: 10.1016/j.neurobiolaging.2021.05.015. Epub 2021 May 31.
- Krakauer JW. Motor learning: its relevance to stroke recovery and neurorehabilitation. Curr Opin Neurol. 2006 Feb;19(1):84-90. doi: 10.1097/01.wco.0000200544.29915.cc.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
August 1, 2023
Primary Completion (Actual)
June 15, 2024
Study Completion (Actual)
June 30, 2024
Study Registration Dates
First Submitted
April 24, 2024
First Submitted That Met QC Criteria
April 28, 2024
First Posted (Actual)
May 2, 2024
Study Record Updates
Last Update Posted (Actual)
July 3, 2024
Last Update Submitted That Met QC Criteria
June 30, 2024
Last Verified
June 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- LL2024018-1
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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