Neuromotor adaptations in people with Parkinson's Disease following a 12-month multimodal non-contact boxing intervention

Parkinson's Disease (PD) is a common neurological disorder that diminishes neuromotor control. Exercise training provides a nonpharmacological treatment option that may help motor symptom severity and trajectory. In the present case series, we assessed linear and non-linear measures of neuromotor control along with functional measures of mobility in six men living with PD across a year of multimodal exercise training. Our measurements encompassed mobility, balance, strength, and force control metrics and were captured at baseline as well as at defined intervals following exercise engagement. The results appear to indicate a favorable preservation of functional ability and neuromotor control for most of the cohort across the yearlong exercise intervention. Our linear measures of neuromotor control generally remained stable with slight improvements from baseline to month 12, with visually distinct trends for our non-linear measures (Sample Entropy) of neuromotor control suggestive of more adaptive motor control strategies for both postural and force control. These data corroborate reports showing favorable outcomes for people with Parkinson's Disease following exercise engagement. Our year-long assessment of neuromotor control in a cohort of men with Parkinson's disease provides a novel contribution to the trajectory of change in this population while undergoing multimodal exercise training.

Authors

Institutions

Publication Details

Journal
Frontiers in Human Neuroscience
Published
2026-01-21
DOI
https://doi.org/10.3389/fnhum.2025.1707832
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neuromotor adaptations in people with Parkinson's Disease following a 12-month multimodal non-contact boxing intervention

Ryan R. Porter, Kuanting Chen, Zoë Thijs, Caleb C. Voskuil et al.
Frontiers in Human Neuroscience
Balance, Gait, and Falls Prevention
article

Neuromotor adaptations in people with Parkinson's Disease following a 12-month multimodal non-contact boxing intervention

Ryan R. Porter, Kuanting Chen, Zoë Thijs, Caleb C. Voskuil, Joshua C. Carr, Christopher R. Watts, Adam King
article en

Abstract

Parkinson's Disease (PD) is a common neurological disorder that diminishes neuromotor control. Exercise training provides a nonpharmacological treatment option that may help motor symptom severity and trajectory. In the present case series, we assessed linear and non-linear measures of neuromotor control along with functional measures of mobility in six men living with PD across a year of multimodal exercise training. Our measurements encompassed mobility, balance, strength, and force control metrics and were captured at baseline as well as at defined intervals following exercise engagement. The results appear to indicate a favorable preservation of functional ability and neuromotor control for most of the cohort across the yearlong exercise intervention. Our linear measures of neuromotor control generally remained stable with slight improvements from baseline to month 12, with visually distinct trends for our non-linear measures (Sample Entropy) of neuromotor control suggestive of more adaptive motor control strategies for both postural and force control. These data corroborate reports showing favorable outcomes for people with Parkinson's Disease following exercise engagement. Our year-long assessment of neuromotor control in a cohort of men with Parkinson's disease provides a novel contribution to the trajectory of change in this population while undergoing multimodal exercise training.

Frontiers in Human NeuroscienceVol. 19
Texas Christian University (US), Kansas State University (US), Lakeland College (US), University of Arkansas at Fayetteville (US)
Good health and well-being
Openalex Percentile: Top 86%
Balance, Gait, and Falls Prevention
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.