Cortical Correlates of Gait in Parkinson's Disease: Impact of Medication and Cueing — cueing  

Parkinson Disease Clinical Trial

Official title: Cortical Correlates of Gait in Parkinson's Disease: Impact of Medication and Cueing

Status Not yet recruiting

Clinical Trial Summary

The purpose of the study is to determine the effects of a novel, personalized, tactile cueing system on gait automaticity. The researchers hypothesized that step-synchronized tactile cueing will reduce prefrontal cortex activity (improve automaticity) and improve gait variability (as well as gait speed). The researchers predict that improved automaticity with improved gait variability will be associated with increased activation of other than prefrontal cortical areas while walking (i.e., sensory-motor). To determine the effects of cueing, 60 participants with PD from will be randomized into one, of two, cueing interventions: 1) personalized, step-synchronized tactile cueing and 2) tactile cueing at fixed intervals as an active control group. In addition, the researchers will explore the feasibility and potential benefits of independent use of tactile cueing during a week in daily life for a future clinical trial.

This project will characterize the cortical correlates of gait automaticity, the changes in gait automaticity with cueing in people with Parkinson's Disease, and how these changes translate to improvement in gait and turning. The long-term goal is to unravel the mechanisms of impaired gait automaticity in Parkinson's Disease.

Clinical Trial Description

Cortical correlates of gait automaticity in Parkinson's disease: impact of cueing

A well-recognized hallmark of healthy walking is automaticity, defined as the ability of the nervous system to successfully coordinate movement with minimal use of attention-demanding, executive resources. It has been proposed that many walking abnormalities in people with Parkinson's disease (PD) are characterized by a shift in locomotor control from healthy automaticity to compensatory, executive control. This shift to less automaticity is potentially detrimental to walking performance as executive control strategies are not optimized for locomotor control, place excessive demands on a limited cognitive reserve, and continuously require attention. It has been hypothesized that as gait becomes more variable, as in people with Parkinson's Disease, control of gait is less automatic, i.e., requires more prefrontal cortex involvement. However, as gait variability is not a direct measure of automaticity, it is controversial whether it truly reflects impaired gait automaticity or impaired gait stability (i.e., dynamic balance). The recent development of wireless, functional, near-infrared spectroscopy (fNIRS) of the brain provides more direct, physiological measures of automaticity, such as reduced prefrontal cortex activity. However, the contribution of other cortical areas to the concept of gait automaticity is largely unknown. Here, for the first time, the researchers will use a full cap fNIRS system to monitor cortical activity in multiple brain areas and wearable, inertial sensors to determine how cognitive abilities, levodopa, and cueing influence gait automaticity.

The effects of cognitive dysfunction and interventions on gait in people with Parkinson's Disease are complex. Impaired executive function has been associated with impaired gait and balance in PD, but it is not known if this relationship is due to the inability to compensate for poor basal ganglia control of gait automaticity with increased prefrontal cortex activity while walking. Sensory cueing may increase gait speed and reduce prefrontal activity but unlike levodopa, it may result in reduced gait variability due to enhanced automaticity. The researchers recently developed a novel type of personalized (triggered by the subject's own walking pattern), step-synchronized tactile stimulation on the wrists to improve the quality of gait and turning in people with Parkinson's Disease. The researchers will now compare the effects of cognitive dysfunction, dopaminergic medication, and tactile cueing on the quality of gait and turning and investigate whether improvements reflect changes in prefrontal activity.

This project will characterize the cortical correlates of gait automaticity, the changes in gait automaticity with cueing in people with PD, and how these changes translate to improvement in gait and turning. The long-term goal is to unravel the mechanisms of impaired gait automaticity in Parkinson's Disease.

The purpose of the study is to determine the effects of a novel, personalized, tactile cueing system on gait automaticity. The researchers hypothesized that step-synchronized tactile cueing will reduce prefrontal cortex activity (improve automaticity) and improve gait variability (as well as gait speed). We predict that improved automaticity with improved gait variability will be associated with increased activation of other than prefrontal cortical areas while walking (i.e., sensory-motor). To determine the effects of cueing, 60 participants with PD from will be randomized into one, of two, cueing interventions: 1) personalized, step-synchronized tactile cueing and 2) tactile cueing at fixed intervals as an active control group. A secondary analysis will explore whether the effect of cueing on gait automaticity is influenced by cognitive dysfunction. In addition, we will explore the feasibility and potential benefits of independent use of tactile cueing during a week in daily life for a future clinical trial. We will explore feasibility and efficacy of cueing in daily life comparing data of gait and turning from a week of continuous monitoring without and with using the tactile cueing. In addition, we will test whether any retention on gait and turning is present by adding a third week of continuous monitoring. ;

Related Conditions & MeSH terms

• Parkinson Disease

• NCT number: NCT05818189
• Study type: Interventional
• Source: Oregon Health and Science University
• Contact: Martina Mancini, PhD
• Phone: 5034182600
• Email: mancinim@ohsu.edu
• Status: Not yet recruiting
• Phase: N/A
• Start date: July 1, 2024
• Completion date: January 31, 2028