Emotional auditory stimuli influence step initiation in Parkinson's disease with freezing of gait.

Freezing of gait (FOG) in Parkinson's disease (PD) can be triggered by sensomotor, cognitive or limbic factors. The limbic system's impact on FOG is attributed to elevated limbic load, characterized by aversive stimuli, potentially depleting cognitive resources for movement control, resulting in FOG episodes. However, to date, PD patients with and without FOG have not shown alterations of anticipatory postural adjustments during gait initiation after exposure to emotional images, possibly because visual stimuli are less immediately disruptive than auditory stimuli, which can more directly affect attention and the limbic system.

Boostering motor imagery processing to improve gait in patients with Parkinson disease and freezing of gait: A pilot study.

Background: Given that patients with Parkinson's Disease (PD) and Freezing of Gait (FoG) may lack the cognitive resources necessary to activate the motor imagery (MI) process, investigating how to boost MI vividness and accuracy could be a valuable therapeutic strategy in MI Practice (MIP).

Objective: We aim to evaluate the priming effect of visual, or auditory, or attentional stimuli in enhancing MI ability by using quantitative data on gait and turning performance.

Methods: Nineteen PD participants with FoG underwent four one-week sessions of MIP, with pre and post clinical assessments.

Modulation of response times in early-stage Parkinson's disease during emotional processing of embodied and non-embodied stimuli.

Valence (positive and negative) and content (embodied vs non-embodied) characteristics of visual stimuli have been shown to influence motor readiness, as tested with response time paradigms. Both embodiment and emotional processing are affected in Parkinson's disease (PD) due to basal ganglia dysfunction. Here we aimed to investigate, using a two-choice response time paradigm, motor readiness when processing embodied (emotional body language [EBL] and emotional facial expressions [FACS]) vs non-embodied (emotional scenes [IAPS]) stimuli with neutral, happy, and fearful content.

A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders.

Step length is an important diagnostic and prognostic measure of health and disease. Wearable devices can estimate step length continuously (e.g.