Plantar Pressure and Electroencephalographic Signals During Pedal and Vision-deprived Walking in Stroke Patients.
Changes of Plantar Pressure and Electroencephalographic Signals During Pedal Walking and Vision-deprivation Walking in Stroke Patients.
1 other identifier
observational
60
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Aug 2023
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 1, 2023
CompletedFirst Submitted
Initial submission to the registry
April 24, 2024
CompletedFirst Posted
Study publicly available on registry
May 2, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 15, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2024
CompletedJuly 3, 2024
June 1, 2024
11 months
April 24, 2024
June 30, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (7)
phase-amplitude coupling
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
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.
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
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
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
Relative power reflects the frequency domain changes of electroencephalogram.
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.
weight Phase Lag Index
The weight phase lag index is an index of brain functional connectivity, can continuously measure the connectivity of the coupling of neural oscillatory activity.
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.
peak pressure
Peak pressure reflects the maximum pressure on the entire sole of the foot.
Through study completion, an average of 2 months.
Study Arms (1)
stroke participants
Stroke participants performe pedal walking and visual-deprivation walking successively.
Interventions
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.
Eligibility Criteria
Stroke participants recruited from inpatient and outpatient departments of tertiary hospitals.
You may qualify if:
- 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.
You may not qualify if:
- Cerebellar injury;
- Brain stem injury;
- Visual impairment.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Geriatric Hospital of Nanjing Medical University
Nanjing, Jiangsu, 210000, China
Related Publications (3)
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.
PMID: 28679843BACKGROUNDFettrow 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.
PMID: 34182403BACKGROUNDKrakauer 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.
PMID: 16415682RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Xia Li Zhang, doctor
Geriatric Hospital of Nanjing Medical University
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
April 24, 2024
First Posted
May 2, 2024
Study Start
August 1, 2023
Primary Completion
June 15, 2024
Study Completion
June 30, 2024
Last Updated
July 3, 2024
Record last verified: 2024-06
Data Sharing
- IPD Sharing
- Will not share