Delayed cortical engagement associated with balance dysfunction after stroke
Palmer, J. A.; Payne, A. M.; Mirdamadi, J. L.; Ting, L. H.; Borich, M. R.
Show abstract
Cortical resources are typically engaged for balance and mobility in older adults, but these resources are impaired post-stroke. Although slowed balance and mobility after stroke have been well-characterized, the effects of unilateral cortical lesions due to stroke on neuromechanical control of balance is poorly understood. Our central hypothesis is that stroke impairs the ability to rapidly and effectively engage the cerebral cortex during balance and mobility behaviors, resulting in asymmetrical contributions of each limb to balance control. Using electroencephalography (EEG), we assessed cortical N1 responses evoked over fronto-midline regions (Cz) during balance recovery in response to backward support-surface perturbations loading both legs, as well as posterior-lateral directions that preferentially load the paretic or nonparetic leg. Cortical N1 responses were smaller and delayed in the stroke group. While older adults exhibited weak or absent relationships between cortical responses and clinical function, stroke survivors exhibited strong associations between slower N1 latencies and slower walking, lower clinical mobility, and lower balance function. We further assessed kinetics of balance recovery during perturbations using center of pressure rate of rise. During backward support-surface perturbations that loaded the legs bilaterally, balance recovery kinetics were not different between stroke and control groups and were not associated with cortical response latency. However, lateralized perturbations revealed slower kinetic reactions during paretic loading compared to controls, and to non-paretic loading within stroke participants. Individuals post stroke had similar nonparetic-loaded kinetic reactions to controls implicating that they effectively compensate for impaired paretic leg kinetics when relying on the non-paretic leg. In contrast, paretic-loaded balance recovery revealed time-synchronized associations between slower cortical responses and slower kinetic reactions only in the stroke group, potentially reflecting the limits of cortical engagement for balance recovery revealed within the behavioral context of paretic motor capacity. Overall, our results implicate individuals after stroke may be uniquely limited in their balance ability by the slowed speed of their cortical engagement, particularly under challenging balance conditions that rely on the paretic leg. We expect this neuromechanical insight will enable progress toward an individualized framework for the assessment and treatment of balance impairments based on the interaction between neuropathology and behavioral context.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Impairments in the mechanical effectiveness of reactive balance control strategies during walking in people post-stroke 96%
- Preliminary outcomes of combined treadmill and overground high-intensity interval training in ambulatory chronic stroke 94%
- Modulation of Corticospinal Excitability and Muscle Synergies During Complex Locomotor Task in Individuals With and Without Cerebral Palsy: A TMS and EMG Study 94%
Similar papers in this journal
- Impairments in proprioceptively-referenced limb and eye movements in chronic stroke 95%
- Multi-site identification and generalization of clusters of walking impairment in individuals with chronic stroke and neurotypical controls 95%
- Predictors of arm non-use in chronic stroke: a preliminary investigation 95%
Similar papers in this journal
- Continuous theta-burst stimulation of the contralesional primary motor cortex for promotion of upper limb recovery after stroke: a randomized controlled trial 93%
- Acute cortical stroke alters neural activity in the subthalamic nucleus, which correlates with motor disability in rats 93%
- Trial of high-intensity gait training and step monitoring for stroke 92%
"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.