Trial Outcomes & Findings for The Neural Mechanisms of Split-belt Treadmill Adaptation in People With Multiple Sclerosis (NCT NCT05878873)

NCT ID: NCT05878873

Last Updated: 2025-07-03

Results Overview

Cortical activation is measured using functional near-infrared spectroscopy (fNIRS) during split-belt treadmill walking. Hemodynamic responses are modeled using a general linear model (GLM) applied to the oxyhemoglobin (HbO) signal. The model includes regressors for distinct phases of walking, with the primary contrast comparing early adaptation (strides 6-30 after split-belt onset) to a baseline walking period. The outcome is defined as the difference in this HbO beta weight contrast with TENS ON compared to TENS OFF. Activation is averaged across all fNIRS channels to provide a whole-brain estimate of cortical activity. A larger value indicates a greater increase in activation from baseline walking to early adaptation. This was measured on both training session 1 and training session 2 to account for the crossover design (i.e. participants are receiving TENS on different days).

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

51 participants

Primary outcome timeframe

Training session 1 (day 1), training session 2 (day 28)

Results posted on

2025-07-03

Participant Flow

A total of 55 participants consented to be screened for eligibility, and 51 participants (31 people with multiple sclerosis and 20 healthy controls) were enrolled.

Participant milestones

Participant milestones
Measure
Split-belt Treadmill Training With TENS First
During this arm, participants will perform split-belt treadmill training with sensory stimulation equipment outfitted and active for the first training session but not active during the second session.
Split-belt Treadmill Training With TENS Second
During this arm, participants will perform split-belt treadmill training with active sensory stimulation equipment outfitted but not active during the first training session, and active during the second training session.
Overall Study
STARTED
24
27
Overall Study
People With Multiple Sclerosis Started:
15
16
Overall Study
People With Multiple Sclerosis Completed:
13
16
Overall Study
Healthy Controls Started:
9
11
Overall Study
Healthy Controls Completed:
9
11
Overall Study
COMPLETED
22
27
Overall Study
NOT COMPLETED
2
0

Reasons for withdrawal

Reasons for withdrawal
Measure
Split-belt Treadmill Training With TENS First
During this arm, participants will perform split-belt treadmill training with sensory stimulation equipment outfitted and active for the first training session but not active during the second session.
Split-belt Treadmill Training With TENS Second
During this arm, participants will perform split-belt treadmill training with active sensory stimulation equipment outfitted but not active during the first training session, and active during the second training session.
Overall Study
Lost to Follow-up
2
0

Baseline Characteristics

Rows are split between people with multiple sclerosis and healthy controls.

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Split-belt Treadmill Training With TENS First
n=22 Participants
During this arm, participants will perform split-belt treadmill training with sensory stimulation equipment outfitted and active for the first training session but not active during the second session.
Split-belt Treadmill Training With TENS Second
n=26 Participants
During this arm, participants will perform split-belt treadmill training with active sensory stimulation equipment outfitted but not active during the first training session, and active during the second training session.
Total
n=48 Participants
Total of all reporting groups
Age, Continuous
People with Multiple Sclerosis
55.5 years
STANDARD_DEVIATION 9.1 • n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
52.2 years
STANDARD_DEVIATION 11.6 • n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
53.7 years
STANDARD_DEVIATION 10.5 • n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Age, Continuous
Healthy Controls
57.3 years
STANDARD_DEVIATION 11.9 • n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
50.9 years
STANDARD_DEVIATION 15.5 • n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
53.8 years
STANDARD_DEVIATION 14.0 • n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Sex: Female, Male
People with Multiple Sclerosis · Female
8 Participants
n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
11 Participants
n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
19 Participants
n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Sex: Female, Male
People with Multiple Sclerosis · Male
5 Participants
n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
4 Participants
n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
9 Participants
n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Sex: Female, Male
Healthy Controls · Female
6 Participants
n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
6 Participants
n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
12 Participants
n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Sex: Female, Male
Healthy Controls · Male
3 Participants
n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
5 Participants
n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
8 Participants
n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Ethnicity (NIH/OMB)
People with Multiple Sclerosis · Hispanic or Latino
1 Participants
n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
1 Participants
n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Ethnicity (NIH/OMB)
People with Multiple Sclerosis · Not Hispanic or Latino
12 Participants
n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
15 Participants
n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
27 Participants
n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Ethnicity (NIH/OMB)
People with Multiple Sclerosis · Unknown or Not Reported
0 Participants
n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Ethnicity (NIH/OMB)
Healthy Controls · Hispanic or Latino
0 Participants
n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Ethnicity (NIH/OMB)
Healthy Controls · Not Hispanic or Latino
9 Participants
n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
11 Participants
n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
20 Participants
n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Ethnicity (NIH/OMB)
Healthy Controls · Unknown or Not Reported
0 Participants
n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
People with Multiple Sclerosis · American Indian or Alaska Native
0 Participants
n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
People with Multiple Sclerosis · Asian
0 Participants
n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
People with Multiple Sclerosis · Native Hawaiian or Other Pacific Islander
0 Participants
n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
People with Multiple Sclerosis · Black or African American
0 Participants
n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
1 Participants
n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
1 Participants
n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
People with Multiple Sclerosis · White
13 Participants
n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
14 Participants
n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
27 Participants
n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
People with Multiple Sclerosis · More than one race
0 Participants
n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
People with Multiple Sclerosis · Unknown or Not Reported
0 Participants
n=13 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=15 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=28 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
Healthy Controls · American Indian or Alaska Native
0 Participants
n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
Healthy Controls · Asian
0 Participants
n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
Healthy Controls · Native Hawaiian or Other Pacific Islander
0 Participants
n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
Healthy Controls · Black or African American
0 Participants
n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
Healthy Controls · White
9 Participants
n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
11 Participants
n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
20 Participants
n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
Healthy Controls · More than one race
0 Participants
n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.
Race (NIH/OMB)
Healthy Controls · Unknown or Not Reported
0 Participants
n=9 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=11 Participants • Rows are split between people with multiple sclerosis and healthy controls.
0 Participants
n=20 Participants • Rows are split between people with multiple sclerosis and healthy controls.

PRIMARY outcome

Timeframe: Training session 1 (day 1), training session 2 (day 28)

Population: The sample included 28 individuals with multiple sclerosis and 20 healthy controls. A randomized crossover design was used, with each participant receiving TENS ON during one training session and TENS OFF during the other.

Cortical activation is measured using functional near-infrared spectroscopy (fNIRS) during split-belt treadmill walking. Hemodynamic responses are modeled using a general linear model (GLM) applied to the oxyhemoglobin (HbO) signal. The model includes regressors for distinct phases of walking, with the primary contrast comparing early adaptation (strides 6-30 after split-belt onset) to a baseline walking period. The outcome is defined as the difference in this HbO beta weight contrast with TENS ON compared to TENS OFF. Activation is averaged across all fNIRS channels to provide a whole-brain estimate of cortical activity. A larger value indicates a greater increase in activation from baseline walking to early adaptation. This was measured on both training session 1 and training session 2 to account for the crossover design (i.e. participants are receiving TENS on different days).

Outcome measures

Outcome measures
Measure
Split-belt Treadmill Training Without TENS
n=48 Participants
During this arm, participants will perform split-belt treadmill training with sensory stimulation equipment outfitted but not active during adaptation. Split-belt Treadmill: Split-belt treadmill training, where the speed of each leg is controlled independently has been shown to create gait adaptation where the coordination of each leg is altered, creating improved gait symmetry for people with walking impairments.
Split-belt Treadmill Training With TENS
n=48 Participants
During this arm, participants will perform split-belt treadmill training with active sensory stimulation occuring simultaneously during adaptation. Split-belt Treadmill: Split-belt treadmill training, where the speed of each leg is controlled independently has been shown to create gait adaptation where the coordination of each leg is altered, creating improved gait symmetry for people with walking impairments. Transcutaneous Electrical Nerve Stimulation (TENS): TENS is a form of nerve stimulation that stimulates at a frequency below motor threshold, targeting activation of sensory receptors, such as muscle spindles. Electrodes that create this stimulation will be placed on the skin superficial to the muscle bellies of the tibialis anterior and rectus femoris.
Change in Cortical Activation
People with Multiple Sclerosis
0.054 Unitless GLM beta weight (HbO)
Standard Error 0.021
-0.024 Unitless GLM beta weight (HbO)
Standard Error 0.021
Change in Cortical Activation
Healthy Controls
0.074 Unitless GLM beta weight (HbO)
Standard Error 0.025
-0.016 Unitless GLM beta weight (HbO)
Standard Error 0.025

PRIMARY outcome

Timeframe: Training session 1 (day 1), training session 2 (day 28)

Population: The sample included 28 individuals with multiple sclerosis and 20 healthy controls. A randomized crossover design was used, with each participant receiving TENS ON during one training session and TENS OFF during the other.

Adaptation savings is defined as the difference in early adaptation performance between training session 1 (Day 1) and training session 2 (Day 28) during split-belt treadmill walking. Early adaptation is quantified using relative step length asymmetry (SLA), calculated from strides 6 to 30 following split-belt onset. SLA is computed from three-dimensional motion capture and force data as the difference between step lengths of the legs, normalized to total stride length: SLA = (Step Length\_fast - Step Length\_slow) / (Step Length\_fast + Step Length\_slow). This yields a unitless measure of asymmetry. The outcome measure is the difference in SLA between visits (training session 2 - training session 1). Larger values reflect faster adaptation at training session 2, consistent with retention of prior learning.

Outcome measures

Outcome measures
Measure
Split-belt Treadmill Training Without TENS
n=22 Participants
During this arm, participants will perform split-belt treadmill training with sensory stimulation equipment outfitted but not active during adaptation. Split-belt Treadmill: Split-belt treadmill training, where the speed of each leg is controlled independently has been shown to create gait adaptation where the coordination of each leg is altered, creating improved gait symmetry for people with walking impairments.
Split-belt Treadmill Training With TENS
n=26 Participants
During this arm, participants will perform split-belt treadmill training with active sensory stimulation occuring simultaneously during adaptation. Split-belt Treadmill: Split-belt treadmill training, where the speed of each leg is controlled independently has been shown to create gait adaptation where the coordination of each leg is altered, creating improved gait symmetry for people with walking impairments. Transcutaneous Electrical Nerve Stimulation (TENS): TENS is a form of nerve stimulation that stimulates at a frequency below motor threshold, targeting activation of sensory receptors, such as muscle spindles. Electrodes that create this stimulation will be placed on the skin superficial to the muscle bellies of the tibialis anterior and rectus femoris.
Change in Adaptation Savings
People with Multiple Sclerosis
0.0032 Unitless Relative Step Length Asymmetry
Standard Error 0.0103
0.0451 Unitless Relative Step Length Asymmetry
Standard Error 0.0096
Change in Adaptation Savings
Healthy Controls
0.0221 Unitless Relative Step Length Asymmetry
Standard Error 0.0124
0.0278 Unitless Relative Step Length Asymmetry
Standard Error 0.0112

PRIMARY outcome

Timeframe: Training session 1 (day 1)

Population: The sample included 28 individuals with multiple sclerosis and 20 healthy controls. A randomized crossover design was used, with each participant receiving TENS ON during one training session and TENS OFF during the other.

Step length asymmetry during early adaptation, representing the rate of adaptation. Early adaptation is quantified using relative step length asymmetry (SLA), calculated from strides 6 to 30 following split-belt onset. SLA is computed from three-dimensional motion capture and force data as the difference between step lengths of the legs, normalized to total stride length: SLA = (Step Length\_fast - Step Length\_slow) / (Step Length\_fast + Step Length\_slow). This yields a unitless measure of asymmetry. The outcome measure is the difference in early adaptation SLA during TENS ON compared to TENS OFF. Values closer to zero reflect faster adaptation.This analysis was performed only on data from each participant's first visit to avoid known effects of increased adaptation rate (learning) during subsequent exposures.

Outcome measures

Outcome measures
Measure
Split-belt Treadmill Training Without TENS
n=26 Participants
During this arm, participants will perform split-belt treadmill training with sensory stimulation equipment outfitted but not active during adaptation. Split-belt Treadmill: Split-belt treadmill training, where the speed of each leg is controlled independently has been shown to create gait adaptation where the coordination of each leg is altered, creating improved gait symmetry for people with walking impairments.
Split-belt Treadmill Training With TENS
n=22 Participants
During this arm, participants will perform split-belt treadmill training with active sensory stimulation occuring simultaneously during adaptation. Split-belt Treadmill: Split-belt treadmill training, where the speed of each leg is controlled independently has been shown to create gait adaptation where the coordination of each leg is altered, creating improved gait symmetry for people with walking impairments. Transcutaneous Electrical Nerve Stimulation (TENS): TENS is a form of nerve stimulation that stimulates at a frequency below motor threshold, targeting activation of sensory receptors, such as muscle spindles. Electrodes that create this stimulation will be placed on the skin superficial to the muscle bellies of the tibialis anterior and rectus femoris.
Rate of Step Length Asymmetry Adaptation
People with Multiple Sclerosis
-0.090 Unitless Relative Step Length Asymmetry
Standard Error 0.012
-0.088 Unitless Relative Step Length Asymmetry
Standard Error 0.013
Rate of Step Length Asymmetry Adaptation
Healthy Controls
-0.095 Unitless Relative Step Length Asymmetry
Standard Error 0.014
-0.103 Unitless Relative Step Length Asymmetry
Standard Error 0.016

Adverse Events

Split-belt Treadmill Training With TENS: People With Multiple Sclerosis

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Split-belt Treadmill Training Without TENS: People With Multiple Sclerosis

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Split-belt Treadmill Training With TENS: Healthy Controls

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Split-belt Treadmill Training Without TENS: Healthy Controls

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Dr. Brett Fling

Colorado State University

Phone: (970) 491-3451

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place