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Byman, A.

Publications and source records attributed to Byman, A..

2 recordsLinked to original sources

Patellar tendon-tap intensity modulates response gain but not variability across cortical proprioceptive and stretch-reflex responses

Cortical proprioceptive processing to passive movements can be quantified with evoked and induced responses in magnetoencephalographic (MEG) signals. We examined how intensity of proprioceptive stimulation (i.e., tendon-tap evoked movement) scales cortical processing of proprioceptive afference from the knee joint, and whether it affects stimulus-to-stimulus response variability. Twenty-one healthy volunteers (28.2{+/-}5 yr, 10 females) underwent a total of 100 right patellar tendon taps (5.0--6.0s inter-stimulus interval) evoked by a novel MEG-compatible stimulator under higher and lower intensity conditions. Strength of cortical evoked and induced MEG and electromyographic responses from the vastus lateralis and medialis muscles were quantified, and their variability were assessed using a matched sliding-window coefficient of variation (CoV). Higher intensity stimulation elicited significantly stronger cortical evoked (~11%) and induced (~17% for beta suppression and ~18% for beta rebound) responses, and muscular response (~27%) than lower intensity stimulation (p<0.05). The stimulus intensity did not affect response variability, with comparable CoV values between higher and lower intensity condition (p>0.05), but the muscular responses showed greater variability than the cortical ones in both intensity conditions (CoV: ~30% vs. ~10%, p<0.001). In addition, the variability in cortical and muscular responses were not significantly correlated (p>0.05). Our results indicate that patellar tendon-tap intensity scaled cortical and muscular response gain, but did not measurably alter response variability. The distinct variability profiles of cortical evoked fields and stretch-reflex muscular response suggest that proprioceptive afference evoked by tendon-tap is transformed differently across cortical and spinal levels.

neuroscience↗

Feasibility and repeatability of MEG-compatible patellar-tendon stimulator for eliciting knee-joint proprioceptive cortical responses

BackgroundCortical processing of the knee-joint proprioception is largely unknown. Magnetoencephalography (MEG) can be used to quantify the cortical processing of the proprioceptive afference, but MEG-compatible and well-controlled stimulation of the knee joint is technically challenging, and thus has received less attention. New methodWe introduced a novel MEG-compatible stimulator that delivers controlled patellar tendon stretches to activate muscle afferent of the knee extensors. The stimulus intensity is adjustable, allowing graded activation of proprioceptive input and, when required, elicitation of the patellar-tendon reflex. ResultsThe novel stimulator elicited clear muscular and cortical responses in both intensity conditions. Cortical responses demonstrated moderate to excellent intersession reliability for peak evoked field amplitude (ICC: 0.69-0.96), beta suppression (0.89-0.90) and beta rebound (0.96-0.97). Notably, beta suppression peaked more laterally than expected in both hemispheres. Peak EMG amplitudes in VL and VM muscles were reliable for both intensity conditions (ICC: 0.66-0.89), and stimulus kinematics remained consistent throughout measurements. Comparison with existing methodsPrevious robotic or motor-driven devices have been used to evoke cortical responses to knee-joint proprioceptive stimulation, but mechanical coupling across adjacent joints may limit knee-specific input. The present stimulator provides mechanically simple and MEG-compatible alternative that targets knee extensor afferents more directly, reduces distal joint involvement. ConclusionThe novel stimulator is a feasible and repeatable tool to study cortical processing of proprioceptive afference from the knee-joint using MEG. The spatially unexpected beta rhythm suppression suggests that knee-joint proprioceptive afference may involve more unique sensorimotor cortical neuronal network than previously recognized.

neuroscience↗