Stroke
Conditions
Keywords
muscles, work, Magnetic Resonance Imaging, control groups
Brief summary
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.
Detailed description
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.
Interventions
Subjects will perform treadmill walking at a self-selected velocity
Muscle oxidative capacity will be assessed via Magnetic resonance spectroscopy (31P-MRS)
Sponsors
Study design
Eligibility
Inclusion criteria
* age 18-80; * stroke within past 6 months - 5 years; * residual paresis in the lower extremity (LE) (Fugl-Meyer motor score \<34); * ability to sit unsupported for 30 sec; * ability to walk at least 10 ft with maximum 1 person assist; * self selected 10 meter gait speed \< 0.8 m/s; and * provision of informed consent.
Exclusion criteria
* Unable to ambulate at least 150 feet prior to stroke, or experienced intermittent claudication while walking \< 200 meters; * history of congestive heart failure, unstable cardiac arrhythmias, hypertrophic cardiomyopathy, severe aortic stenosis, angina or dyspnea at rest or during activities of daily living; * History of chronic obstructive pulmonary disease or oxygen dependence; * Preexisting neurological disorders, dementia or previous stroke; * History of major head trauma; * Legal blindness or severe visual impairment; * history of significant psychiatric illness; * Life expectancy \<1 yr; * Severe arthritis or orthopedic problems that limit passive range of motion (ROM); * post-stroke depression (PHQ-9 10); * History of deep vein thrombosis (DVT) or pulmonary embolism within 6 months; * Uncontrolled diabetes with recent weight loss, diabetic coma, or frequent insulin reactions; * Severe hypertension with systolic \>200 mmHg and diastolic \>110 mmHg at rest; * Previous or current enrollment in a clinical trial to enhance motor recovery; * Presence of non-magnetic resonance (MR) compatible implants or devices, pregnancy or severe claustrophobia.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Oxygen Consumption During Walking | within one week of enrollment | Amount of oxygen consumed during walking at self-selected speed normalized to speed |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Muscle Mechanical Energy Expenditure | one time measure within one week of enrollment | mechanical work done by lower extremity joints |
| Magnetic Resonance Spectroscopy of Muscle Metabolic Properties | within one week of enrollment | time constant indicating the time for recovery in muscle phosphocreatine levels following exercise as a metric of muscle oxidative capacity. |
Countries
United States
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| 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) | 15 |
| 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) | 15 |
| Total | 30 |
Baseline characteristics
| Characteristic | Stroke | Control | Total |
|---|---|---|---|
| Age, Continuous | 57.3 years STANDARD_DEVIATION 9.2 | 54.2 years STANDARD_DEVIATION 5.1 | 57.3 years STANDARD_DEVIATION 9.2 |
| muscle mechanical energy expenditure | 374 Joules per kg STANDARD_DEVIATION 161 | 242 Joules per kg STANDARD_DEVIATION 66 | 309 Joules per kg STANDARD_DEVIATION 112 |
| muscle oxidative capacity | 5.1 millimolar inorganic phosphate STANDARD_DEVIATION 0.87 | 3.2 millimolar inorganic phosphate STANDARD_DEVIATION 0.56 | 4.2 millimolar inorganic phosphate STANDARD_DEVIATION 0.72 |
| Sex: Female, Male Female | 7 Participants | 5 Participants | 12 Participants |
| Sex: Female, Male Male | 8 Participants | 10 Participants | 18 Participants |
| walking speed | 0.57 meters per second STANDARD_DEVIATION 0.23 | 1.17 meters per second STANDARD_DEVIATION 0.15 | 0.87 meters per second STANDARD_DEVIATION 0.2 |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | — / — | — / — |
| other Total, other adverse events | 1 / 15 | 0 / 15 |
| serious Total, serious adverse events | 0 / 15 | 0 / 15 |
Outcome results
Oxygen Consumption During Walking
Amount of oxygen consumed during walking at self-selected speed normalized to speed
Time frame: within one week of enrollment
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Stroke | Oxygen Consumption During Walking | 11.25 ml/kg/min | Standard Deviation 0.76 |
| Control | Oxygen Consumption During Walking | 4.46 ml/kg/min | Standard Deviation 0.27 |
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.
Time frame: within one week of enrollment
Population: 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.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Stroke | Magnetic Resonance Spectroscopy of Muscle Metabolic Properties | 43.22 seconds | Standard Deviation 9.8 |
| Control | Magnetic Resonance Spectroscopy of Muscle Metabolic Properties | 35.39 seconds | Standard Deviation 8.26 |
Muscle Mechanical Energy Expenditure
mechanical work done by lower extremity joints
Time frame: one time measure within one week of enrollment
Population: 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.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Stroke | Muscle Mechanical Energy Expenditure | 5.66 joules per kilogram meter | Standard Deviation 1.89 |
| Control | Muscle Mechanical Energy Expenditure | 3.61 joules per kilogram meter | Standard Deviation 1.42 |