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| Name | Class |
|---|---|
| Medical University of South Carolina | OTHER |
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Of the ~700,000 persons who suffer a stroke each year, only 50% recover the ability to perform unlimited community walking. One mechanism contributing to locomotor dysfunction post-stroke is an increased metabolic cost of walking relative to neurologically healthy individuals 2-4. This increased cost likely limits the amount of walking performed, which further reduces functional capacity, thus contributing to long-term spiral of disability and decreased quality of life in these persons. In addition to increased metabolic cost, increased estimates of mechanical work are also characteristic of hemiparetic walking 2,29. Interestingly, although estimates of mechanical work reflect work done by locomotor muscles, little is known about the impact that peripheral muscle properties have on estimates of mechanical work. Furthermore, questions concerning how these properties relate to the increased metabolic cost of walking remain unanswered. The short-term objective and purpose of the proposed research is to determine the extent to which peripheral muscle characteristics, as well as estimates of muscle mechanical energy expenditure (MMEE), relate to the metabolic cost of walking post-stroke.
A guiding principle of the proposed research is that skeletal muscle is the building block of all movement and, as such, muscle dysfunction can ultimately limit the gains possible from rehabilitation intervention. Therefore, maximal gains will be made only when central nervous system adaptations access peripheral muscle that is fully capable of supporting the increased activity.
The primary hypothesis is that in persons with hemiparesis following stroke, alterations in the metabolic properties of peripheral skeletal muscles, in combination with greater mechanical work, contribute to the increased metabolic cost of walking. A secondary hypothesis is that locomotor training induces adaptations in lower extremity skeletal muscle resulting in improved mechanical and metabolic efficiency. In order to test these hypotheses, the following three specific aims will be addressed:
Aim 1: Determine the in-vivo metabolic characteristics of the ankle plantar flexor muscles in persons with chronic post-stroke hemiparesis and neurologically healthy individuals. In-vivo muscle metabolic properties will be assessed via phosphorous magnetic resonance spectroscopy (31P-MRS). Specifically, we will measure the resting phosphorylation potential as well as the in-vivo oxidative capacity of the ankle plantar flexor muscles. We hypothesize that individuals with chronic hemiparesis will exhibit reductions in oxidative capacity as well as an increased resting phosphorylation potential relative to age-, gender-, height- and weight-matched control subjects. We suggest these adaptations, which are characteristic of a less energetically efficient muscle, contribute to an increased metabolic cost beyond that resulting from potential increases in mechanical work performed by locomotor muscles.
Aim 2: Quantify metabolic cost as well as muscle mechanical energy expenditure during walking in persons with chronic post-stroke hemiparesis and neurologically healthy individuals. Post-stroke hemiparesis is associated with a variety of motor control problems that include abnormal synergistic organization of movement as well as altered temporal sequencing of muscle activity 5,10,11. Since muscle excitation during normal walking is believed to be very efficient 8,9,33 it is likely that altered muscle coordination post-stroke, reflected in increased mechanical work, is one factor contributing to the increased metabolic cost of walking. We hypothesize that the metabolic cost of walking post-stroke will be elevated relative to controls at matched speeds. Additionally, a measure of mechanical work, muscle mechanical energy expenditure (MMEE), will be elevated post-stroke, reflective of mechanically inefficient movement strategies and causal to a portion of the increased metabolic cost of walking.
Aim 3: Determine the impact of 12 weeks of locomotor training on in-vivo muscle metabolic properties, the metabolic cost of walking as well as MMEE in persons with chronic post-stroke hemiparesis. There is emerging evidence that chronic neurologic deficits due to stroke can be improved through intensive, repetitive task-oriented motor training (e.g. locomotor training). The basis for locomotor training (LT) improvements is thought to involve mechanisms of central neuroplasticity that are responsive to fundamental principles of motor learning 37,38,39. In addition, our pilot data demonstrate that LT may also result in peripheral adaptations in the plantar flexor muscles. Thus, the potential seemingly exists to induce both central and peripheral adaptations with this intervention strategy. We expect that LT will attenuate existing deficits, resulting in an increased oxidative capacity and a decreased resting phosphorylation potential in ankle plantar flexor muscles. In addition, LT will result in a reduced MMEE and a reduced metabolic cost of walking, reflective of improved mechanical and metabolic efficiency. We believe it will prove important to describe adaptations in walking mechanics as well as within peripheral muscle that occur following LT and relate them to the metabolic cost of walking. In addition, continued deficits will reflect a need for additional or adjunctive intervention strategies, thus providing information on how to modify or augment future rehabilitation interventions in order to improve individual outcomes.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Stroke | Stroke subjects |
| |
| Control | neurologically healthy subjects |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Treadmill walking | Behavioral | Subjects will perform treadmill walking at a self-selected velocity |
|
| Measure | Description | Time Frame |
|---|---|---|
| Oxygen Consumption During Walking | Amount of oxygen consumed during walking at self-selected speed normalized to speed | within one week of enrollment |
| Measure | Description | Time Frame |
|---|---|---|
| Muscle Mechanical Energy Expenditure | mechanical work done by lower extremity joints | one time measure within one week of enrollment |
| Magnetic Resonance Spectroscopy of Muscle Metabolic Properties |
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Inclusion Criteria:
Exclusion Criteria:
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community sample
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| Name | Affiliation | Role |
|---|---|---|
| Chris M. Gregory, PhD | Ralph H. Johnson VA Medical Center, Charleston, SC | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Ralph H. Johnson VA Medical Center, Charleston, SC | Charleston | South Carolina | 29401-5799 | United States |
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| ID | Title | Description |
|---|---|---|
| FG000 | Stroke | those with condition Treadmill walking: Subjects will perform treadmill walking at a self-selected velocity Magnetic resonance spectroscopy: Muscle oxidative capacity will be assessed via Magnetic resonance spectroscopy (31P-MRS) |
| FG001 | Control | those without condition Treadmill walking: Subjects will perform treadmill walking at a self-selected velocity Magnetic resonance spectroscopy: Muscle oxidative capacity will be assessed via Magnetic resonance spectroscopy (31P-MRS) |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
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| ID | Title | Description |
|---|---|---|
| BG000 | Stroke | those with condition Treadmill walking: Subjects will perform treadmill walking at a self-selected velocity Magnetic resonance spectroscopy: Muscle oxidative capacity will be assessed via Magnetic resonance spectroscopy (31P-MRS) |
| BG001 | Control |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Mean |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Oxygen Consumption During Walking | Amount of oxygen consumed during walking at self-selected speed normalized to speed | Posted | Mean | Standard Deviation | ml/kg/min | within one week of enrollment |
|
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Stroke | those with condition Treadmill walking: Subjects will perform treadmill walking at a self-selected velocity Magnetic resonance spectroscopy: Muscle oxidative capacity will be assessed via Magnetic resonance spectroscopy (31P-MRS) |
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| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| fall at home | Musculoskeletal and connective tissue disorders | Systematic Assessment | Subject reported a fall int he home but did not result in injury |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Chris Gregory | Ralph H Johnson VAMC | (843)792-1078 | Christopher.Gregory@va.gov |
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| ID | Term |
|---|---|
| D020521 | Stroke |
| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| ID | Term |
|---|---|
| D009682 | Magnetic Resonance Spectroscopy |
| ID | Term |
|---|---|
| D013057 | Spectrum Analysis |
| D002623 | Chemistry Techniques, Analytical |
| D008919 | Investigative Techniques |
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None retained
| Magnetic resonance spectroscopy | Other | Muscle oxidative capacity will be assessed via Magnetic resonance spectroscopy (31P-MRS) |
|
time constant indicating the time for recovery in muscle phosphocreatine levels following exercise as a metric of muscle oxidative capacity.
| within one week of enrollment |
those without condition Treadmill walking: Subjects will perform treadmill walking at a self-selected velocity Magnetic resonance spectroscopy: Muscle oxidative capacity will be assessed via Magnetic resonance spectroscopy (31P-MRS) |
| BG002 | Total | Total of all reporting groups |
| years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| walking speed | The overground speed the individuals walk when instructed to "walk at you normal comfortable speed". | Mean | Standard Deviation | meters per second |
|
| muscle oxidative capacity | This measures specific compounds in leg muscles to estimate how well they would perform repeated physical tasks (e.g. walking). | Mean | Standard Deviation | millimolar inorganic phosphate |
|
| muscle mechanical energy expenditure | This is a calculation of how much work is done by each joint (i.e. ankle, knee and hip) of each leag during walking. | Mean | Standard Deviation | Joules per kg |
|
|
|
| Secondary | Muscle Mechanical Energy Expenditure | mechanical work done by lower extremity joints | Individuals following stroke and matched non-stroke individuals. Sample size differences reflect the inability of some subjects to walk on the instrumented treadmill at speeds necessary to collect the kinematic data. | Posted | Mean | Standard Deviation | joules per kilogram meter | one time measure within one week of enrollment |
|
|
|
| Secondary | Magnetic Resonance Spectroscopy of Muscle Metabolic Properties | time constant indicating the time for recovery in muscle phosphocreatine levels following exercise as a metric of muscle oxidative capacity. | Sample size differences reflect the fact that some subjects are either incompatible with imaging procedures because they are either unable to lie still for the time necessary to collect these data, are claustrophobic or have metal somewhere in their body that prevents imaging. | Posted | Mean | Standard Deviation | seconds | within one week of enrollment |
|
|
|
| 0 |
| 15 |
| 1 |
| 15 |
| EG001 | Control | those without condition Treadmill walking: Subjects will perform treadmill walking at a self-selected velocity Magnetic resonance spectroscopy: Muscle oxidative capacity will be assessed via Magnetic resonance spectroscopy (31P-MRS) | 0 | 15 | 0 | 15 |
|
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| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |