Cortico-Pallidal Beta Dynamics Underlie Impaired Turning in Parkinson's Disease
Shukla, P. D.; Bath, J. E.; Louie, K. H.; Fekri Azgomi, H.; Patelaki, E.; Marks, J.; Balakid, J.; Wang, D. D.
Show abstract
Turning while walking is one of the most common yet complex human movements, and it is frequently impaired in Parkinsons disease (PD), leading to falls and loss of independence. The neural mechanisms underlying this difficulty remain unclear. Using chronically implanted devices that simultaneously record and stimulate the brain, we measured activity in the motor cortex and basal ganglia of individuals with PD during natural walking and turning. Successful turns were marked by reduced beta-band activity and flexible communication between cortical and pallidal regions, whereas impaired turns showed excessive beta synchrony that rigidly constrained movement. Medication and deep brain stimulation improved turning through distinct circuit mechanisms, dopamine suppressing abnormal pallidal beta activity and its communication with the cortex, and stimulation restoring cortical flexibility. These findings reveal how dynamic cortical-basal ganglia interactions enable complex movement and establish circuit targets for adaptive brain stimulation to reduce falls in PD.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Beta Burst-Driven Adaptive Deep Brain Stimulation Improves Gait Impairment and Freezing of Gait in Parkinson’s Disease 96%
- Neural pathway activation in the subthalamic region depends on stimulation polarity 95%
- Changes in electrophysiological aperiodic activity during cognitive control in Parkinson's disease 93%
Similar papers in this journal
Similar papers in this journal
- Optogenetic fMRI reveals therapeutic circuits of subthalamic nucleus deep brain stimulation 96%
- Persistent synaptic inhibition of the subthalamic nucleus by high frequency stimulation 95%
- Flexible and Stable Cycle-by-Cycle Phase-Locked Deep Brain Stimulation System Targeting Brain Oscillations in the Management of Movement Disorders 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.