Cycling Boosts Brain Function in Parkinson’s Disease

A novel study conducted at University Hospitals and the VA Northeast Ohio Healthcare System, through its Cleveland Functional Electrical Stimulation (FES) Center, provides clues, as it shows that long-term dynamic exercise programs might have wider restorative effects on the brain signals of Parkinson’s Disease (PD) patients than researchers previously thought.



Researchers used recordings from participants’ deep brain stimulation devices to try to assess how long-term exercise programs might be re-activating connections damaged by Parkinson’s Disease.

Unlike previous studies, this investigation sought to decode the brain changes linked to motor symptom relief; both with the help of second-generation DBS devices and a long-term dynamic cycling exercise regimen in Parkinson’s patients.

Details on the study are published in the June 2025 issue of Clinical Neurophysiology.

The pilot investigation, funded by a VA Merit Award from the Department of Veterans Affairs along with philanthropic funds to the Department of Neurology at University Hospitals (Penni and Stephen Weinberg Chair in Brain Health) was led by UH & VA neurologist Aasef Shaikh MD, PhD, who is also Vice Chair for Research at University Hospitals, Professor of Neurology, and Associate Medical Director of the Cleveland FES Center. Prajakta Joshi, lead author of the article, is a PhD candidate in biomedical engineering at the Shaikh Lab that is part of University Hospitals and Cleveland FES Center at the Louis Stokes Cleveland VA Medical Center.

“We’ve already established over years of study that dynamic cycling regimens are beneficial for treating Parkinson’s tremor,” said Dr. Shaikh. “The latest study adds the use of deep brain stimulation and an ongoing exercise program to visualize how long-term exercise might be rewiring neural connections in the brain.”

Another unique and critical part of the study, Dr. Shaikh added, was the collaboration between the two medical systems, which provided a larger pool of potential participants for recruiting purposes.

About the Study

Participants with Parkinson’s Disease – including military Veterans – were required to take part in 12 dynamic cycling sessions over a four-week period. All study participants had previously been implanted with deep brain stimulation devices to treat their motor symptoms; while simultaneously measuring the brain signals in the region where the electrodes are implanted.

Another critical aspect of the study was the adaptive cycling regimen investigators used. This technology empowers the bike to learn how patients perform while biking.

For example, viewing the connected game screen, riders are instructed to pedal up to 80 rpm, and to maintain that speed for about 30 minutes. Meanwhile, their pedaling intensity is shown by an on-screen balloon, and riders have to keep the balloon aloft over water but within specific parameters on screen.

However, the adaptive quality of the bike keeps riders guessing as to how much effort to apply. The bike’s motor assists them in attaining 80 rpm, but also adds and reduces resistance depending on the rider’s level of effort. Researchers believe this push and pull mechanism is particularly beneficial in treating Parkinson’s symptoms.

Kent State University PhD candidate Lara Shigo, a co-author of the study, acknowledges 80 RPMs is faster than a person would naturally choose to ride, but says the level doesn’t cause fatigue because the bike’s motor assists the rider in attaining that level.

Exciting Findings

Brain signal recordings were captured from participants’ implanted DBS electrodes to assess participants’ brain signals before and after each exercise session.

“Our goal was to understand the immediate and long-term effects of the exercise in that region of the brain where the electrodes are implanted, which is also the same area where Parkinson’s pathology is evident,” Dr. Shaikh said.

Researchers did not observe immediate brain signal changes, but after 12 sessions, they saw a measurable change in the brain signals responsible for motor control and movement.

Website: cognitivescientist.org 





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