Increasing Gait Automaticity in Older Adults by Exploiting Locomotor Adaptation
Locomotor Adaptability for Community Mobility of Older Adults: The Role of Gait Automaticity
7 other identifiers
interventional
42
1 country
1
Brief Summary
The investigators will test the following: 1) the extent of locomotor adaptation improvement in individuals aged 65 years and older; 2) the association between initial walking automaticity (i.e. less PFC activity while walking with a cognitive load) and prefrontal-subcortical function (measured via neuropsychological testing); and 3) whether improvements in locomotor adaptability result in improvements in the Functional Gait Assessment (FGA), a clinically relevant indicator of dynamic balance and mobility in older adults. To answer these questions, the investigators will combine innovative techniques from multiple laboratories at the University of Pittsburgh. Automatic motor control (Dr. Rosso's expertise) will be assessed by wireless functional near-infrared spectroscopy (fNIRS) of the PFC during challenged walking conditions (walking on an uneven surface and walking while reciting every other letter of the alphabet). fNIRS allows for real-time assessment of cortical activity while a participant is upright and moving by way of light-based measurements of changes in oxygenated and deoxygenated hemoglobin. Locomotor adaptation (Dr. Torres-Oviedo's expertise) will be evaluated with a split-belt walking protocol (i.e., legs moving at different speeds) that the investigators and others have used to robustly quantify motor adaptation capacity in older individuals and have shown to be reliant on cerebellar and basal ganglia function. The investigators will focus on two important aspects of locomotor adaptation that the investigators have quantified before: (Aim 1) rate at which individuals adapt to the new (split) walking environment and (Aim 2) capacity to transition between distinct walking patterns (i.e., the split-belt and the overground walking patterns), defined as motor switching. Adaptation rate and motor switching are quantified using step length asymmetry, which is the difference between a step length taken with one leg vs. the other. The investigators will focus on this gait parameter because it robustly characterizes gait adaptation evoked by split-belt walking protocols. Finally, the investigators will quantify participant's cognitive function (Dr. Weinstein's expertise) through neuropsychological battery sensitive to prefrontal-subcortical function. The investigators will mainly focus on evaluating 1) learning capacity reliant on cerebellar structures and 2) assessing executive function heavily reliant on PFC and, to a lesser extent, the basal ganglia.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Nov 2021
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 9, 2021
CompletedFirst Posted
Study publicly available on registry
June 22, 2021
CompletedStudy Start
First participant enrolled
November 8, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
June 1, 2026
August 3, 2025
July 1, 2025
4.6 years
April 9, 2021
July 31, 2025
Conditions
Outcome Measures
Primary Outcomes (5)
Change in Adaptation rate
Adaptation is measured by the mean of the first 32 strides of in adaptation. This metric approximates the rate of learning. Higher adaptation rate means better learning rate. The adaptation rate will be measured during the visits 1 week pre-intervention, during intervention and 1 week post-intervention. The changes through the process, most importantly before and after intervention, will be calculated. Larger the change, better the learning capacity.
1 week pre-Intervention, during Intervention and 1 week post-Intervention
Change in Aftereffect
Aftereffect is the difference in error between the last 40 strides of baseline walking and the first 5 strides of walking over ground after adaptation. Higher aftereffect value represents higher transfer of the learning. The aftereffects will be measured during the visits 1 week pre-intervention, during intervention and 1 week post-intervention. The changes through the process, most importantly before and after intervention, will be calculated. Larger the change, better the cognitive switching ability.
1 week pre-Intervention, during Intervention and 1 week post-Intervention
Change in FGA
Change in Functional gait assessment (FGA) score post-Intervention relative to pre-Intervention. The FGA consists of 10 items: gait on level surface, change in gait speed, gait with horizontal and vertical head turns, gait with 180° pivot turn, stepping over obstacles, gait with narrow base of support, gait with eyes closed, backwards gait and stairs. Scoring of each of these activities is done on a 4-point ordinal scale ranging from 0-3, with 0 indicating severe impairment (cannot perform without assistance, severe gait deviations or imbalance, increased time to perform task), 1 indicating moderate impairment, 2 indicating mild impairment, and 3 indicating normal ambulation (no gait or balance impairment, completion of task in a timely manner). All items are summed to calculate a total score (max. 30).
2 weeks pre-Intervention and 1 week post-Intervention
Executive function
Subtests of Delis-Kaplan Executive Function System (D-KEFS) will be used: (1) Color-Word Interference Task that measures the ability to inhibit a dominant and automatic verbal response (inhibition) and the ability to switch between inhibiting and executing an automatic verbal response (inhibition/switching); (2) Trail Making Test that measures flexibility of thinking and set-shifting ability on a visual-motor sequencing task (Condition 4), and (3) Verbal Fluency (for letters and categories) that measures letter fluency, category fluency, and category switching. The performance of each of test is measured by seconds to completion, except for verbal fluency, which is determined by total number of correct responses and switches between categories. Raw scores are normed using the D-KEFS normative data structure (mean = 10, SD = 3). All tests are co-normed to allow averaging to create a single, composite executive function measure. Higher score means better executive function.
2 weeks pre-Intervention
Subcortical/basal ganglia function
he Action verbal fluency test will be used to measure subcortical/basal ganglia cognitive function. This task requires the participant to rapidly generate as many verbs (i.e., "things that people do") as possible within 1 min. The score is the number of correct words within 1 minute, excluding rule-breaks and intrusions (i.e., non-verbs), from 0 to the max number of correct words participant can generate. Higher score means better basal ganglia cognitive function.
2 weeks pre-Intervention
Secondary Outcomes (4)
Change in prefrontal cortex activity
2 weeks pre-Intervention and 1 week post-Intervention
Attention, language, immediate memory, delayed memory, and visuospatial function measures
2 weeks pre-Intervention
Premorbid estimated verbal ability
2 weeks pre-Intervention
Switching Ability
2 weeks pre-Intervention
Study Arms (1)
Intervention: Split-belt walking; Multiple transitions between split-belt and tied-belt walking
EXPERIMENTALSplit-belt walking will be used in all experiments and consists of a time period during which the legs move at different speeds (0.5 m/s vs. 1 m/s). The investigators select those speeds since the investigators have observed in our preliminary data and published study (Sombric et al. 2017) that older individuals adapted at these speeds exhibit large deficits at motor switching when transitioning to overground walking. This large reference signal will facilitate the detection of a change in motor switching (Aim 2) following the Intervention. This second intervention consists of multiple short adaptation blocks (i.e., 6 blocks of 200 strides each) interleaved with short de-adaptation blocks (i.e., 5 blocks of 200 strides of tied-belt walking each). It was designed based on several studies showing improvements in adaptation rate in young adults with a similar protocol (Malone et al. 2011; Day et al. 2018; Leech et al. 2018).
Interventions
These will be used in all experiments and consists of a time period during which the legs move at different speeds (0.5 m/s vs. 1 m/s). The investigators select those speeds since the investigators have observed in our preliminary data and published study (Sombric et al. 2017) that older individuals adapted at these speeds exhibit large deficits at motor switching when transitioning to overground walking. This large reference signal will facilitate the detection of a change in motor switching (Aim 2) following the Intervention.
This intervention consists of multiple short adaptation blocks (i.e., 6 blocks of 200 strides each) interleaved with short de-adaptation blocks (i.e., 5 blocks of 200 strides of tied-belt walking each). It was designed based on several studies showing improvements in adaptation rate in young adults with a similar protocol (Malone et al. 2011; Day et al. 2018; Leech et al. 2018).
Eligibility Criteria
You may qualify if:
- years old or older.
- Body Mass Index of 35 or less. Muscle activities will be recorded for distinct muscles in the legs and fatty tissue could interfere with these measurements.
- Able to walk without a hand held device
- Able to walk for 5 minutes at their self-paced speed
You may not qualify if:
- Any past or present history of neurological disorders, heart or respiratory disease, brain injury, seizures, spinal cord surgery, or strokes.
- Pregnancy.
- Unable to follow two part commands;
- Uncorrected vision or severe visual impairment with visual acuity \< 20/70 with best correction;
- Cognitive impairments defined as modified mini-mental score \<84;
- orthopedic or pain conditions (lower extremity pain, back pain, calf pain);
- refuse to walk on a treadmill;
- hospitalized 6 months prior to the study for acute illness or surgery, other than minor surgical procedures;
- lower extremity orthopedic surgery within 1 year;
- uncontrolled hypertension (\> 190/110 mmHg);
- diagnosed dementia;
- dyspnea at rest or during daily leaving activities;
- use supplemental oxygen, resting heart rate\> 100 or \<40 beats per minute;
- fixed or fused hip, knee, or ankle joints;
- progressive movement disorder such as Multiple Sclerosis (MS), Amyotrophic Lateral Sclerosis (ALS), or Parkinson's disease
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Pittsburghlead
- National Institute of Neurological Disorders and Stroke (NINDS)collaborator
- National Institute on Aging (NIA)collaborator
- U.S. National Science Foundationcollaborator
- Central Research Development Fundcollaborator
- University of Pittsburgh Momentum Fundcollaborator
Study Sites (1)
Sensorimotor Learning Laboratory, Schenley Place Suite 110
Pittsburgh, Pennsylvania, 15213, United States
Related Publications (26)
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PMID: 16957067BACKGROUND
Study Officials
- PRINCIPAL INVESTIGATOR
Gelsy Torres-Oviedo, Ph.D.
University of Pittsburgh
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
April 9, 2021
First Posted
June 22, 2021
Study Start
November 8, 2021
Primary Completion (Estimated)
June 1, 2026
Study Completion (Estimated)
June 1, 2026
Last Updated
August 3, 2025
Record last verified: 2025-07
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ANALYTIC CODE
- Time Frame
- Immediately following publication. No end date.
- Access Criteria
- Anyone who wishes to access the data.
Individual participant data that underlie the results reported in the publication (text, tables, figures, and appendices) will be shared on Open Science Framework for public access after de-identification.