RT Journal Article
SR Electronic
T1 Cortico-Subthalamic Field Potentials Support Classification of the Natural Gait Cycle in Parkinson’s Disease and Reveal Individualized Spectral Signatures
JF eneuro
JO eNeuro
FD Society for Neuroscience
SP ENEURO.0325-22.2022
DO 10.1523/ENEURO.0325-22.2022
VO 9
IS 6
A1 Kenneth H. Louie
A1 Ro’ee Gilron
A1 Maria S. Yaroshinsky
A1 Melanie A. Morrison
A1 Julia Choi
A1 Coralie de Hemptinne
A1 Simon Little
A1 Philip A. Starr
A1 Doris D. Wang
YR 2022
UL http://www.eneuro.org/content/9/6/ENEURO.0325-22.2022.abstract
AB The ability of humans to coordinate stereotyped, alternating movements between the two legs during bipedal walking is a complex motor behavior that requires precisely timed activities across multiple nodes of the supraspinal network. Understanding of the neural network dynamics that underlie natural walking in humans is limited. We investigated cortical and subthalamic neural activities during overground walking and evaluated spectral biomarkers to decode the gait cycle in three patients with Parkinson’s disease without gait disturbances. Patients were implanted with chronic bilateral deep brain stimulation (DBS) leads in the subthalamic nucleus (STN) and electrocorticography paddles overlaying the primary motor and somatosensory cortices. Local field potentials were recorded from these areas while the participants performed overground walking and synchronized to external gait kinematic sensors. We found that the STN displays increased low-frequency (4–12 Hz) spectral power during the period before contralateral leg swing. Furthermore, STN shows increased theta frequency (4–8 Hz) coherence with the primary motor through the initiation and early phase of contralateral leg swing. Additional analysis revealed that each patient had specific frequency bands that could detect a significant difference between left and right initial leg swing. Our findings indicate that there are alternating spectral changes between the two hemispheres in accordance with the gait cycle. In addition, we identified patient-specific, gait-related biomarkers in both the STN and cortical areas at discrete frequency bands that may be used to drive adaptive DBS to improve gait dysfunction in patients with Parkinson’s disease.