Research Symposium
25th annual Undergraduate Research Symposium, April 1, 2025
Summer Chapman Poster Session 2: 10:45 am - 11:45 am/ Poster #267

BIO
My name is Summer Chapman, I am a senior in the IMS program, majoring in Clinical Professions. I am a pre-medical student planning to apply this cycle. I have been an active participant in research while interests primarily in neurological disorders.
Auditory and Visual Cueing for Gait Improvement in Parkinson’s Disease
Authors: Summer Chapman, Gillian GouveiaStudent Major: IMS: Clinical Professions
Mentor: Gillian Gouveia
Mentor's Department: Psychology Mentor's College: Arts and Sciences Co-Presenters: Summer Chapman, Joshua Andre, Darly Louis, Rayna Metcalf
Abstract
Parkinson’s Disease (PD) is a neurodegenerative disorder marked by the degeneration of dopaminergic (DA) neurons in the substantia nigra pars compacta (SNc), a key region housing the majority of dopamine-producing neurons. This degeneration results in dopamine depletion and subsequent motor impairments. Thus, PD commonly presents with motor symptoms such as bradykinesia, rigidity, and resting tremors that affect movements such as walking, otherwise known as gait. Prior research suggests that visual and auditory cueing can improve gait disturbances. This meta-analysis examines how different cueing methods impact gait by analyzing biometric values such as stride length, cadence, and velocity. A search of existing literature was conducted using Embase, Web of Science, Medline, CINAHI, and PubMed. Studies included visual, auditory, or audiovisual cueing interventions for PD patients. Several moderators were coded, including demographic data, intervention length, follow-up duration, and biometric changes. A total of 772 PD patients were included for analysis. Results indicated that cadence showed no effect (g = 0.00, p < 0.01), velocity demonstrated a small effect (g = 0.26, p < 0.01), and stride length showed a small effect (g = 0.43, p < 0.01) as compared to baseline or non-cued gait. For the purpose of analysis, auditory and visual cueing were combined. Data synthesis was conducted using a multivariate random-effects model, and dependent effect sizes were addressed through robust variance estimation. Further moderator analysis is needed to explore the relationship between intervention types and biometric value changes.
Keywords: Parkinson's, Neurological, Gait