bioRxiv Science⌕ Search

Biology subjects

WEN, W.

Publications and source records attributed to WEN, W..

2 recordsLinked to original sources

Impaired Motor Awareness of Balance Control is Associated with Postural Instability in Parkinson's Disease

BackgroundBalance instability is a major contributor to disability and falls in people with Parkinsons disease (PwP) and is often insufficiently explained by motor impairment alone. Altered awareness of motor control has been suggested to contribute to sensorimotor dysfunction in PwP, but its relationship with balance performance is poorly understood. ObjectiveTo determine whether awareness of balance control, assessed using a control detection task (CDT), differs between healthy controls (HC) and PwP, and whether CDT performance is associated with balance-related measures. MethodsHealthy older adults (n=20) and PwP (n=22) performed a standing version of the CDT based on center-of-pressure (COP) control, using a force plate. CDT accuracy was used as the primary outcome measure. Static balance during quiet standing was assessed using the COP trajectory length and rectangular area. Dynamic standing balance was assessed using the Index of Postural Stability (IPS). Group differences were examined by independent-samples t-tests. Correlations between CDT accuracy and balance measures were analyzed. ResultsThe PwP group showed significantly lower CDT accuracy. Higher CDT accuracy was associated with better static balance in the HC group and the combined sample, and with higher IPS primarily in the PwP group. ConclusionsMotor awareness during postural tasks is altered in PwP and is associated with balance control. These findings suggest that balance instability in Parkinsons disease may involve altered balance-related action-outcome monitoring in addition to motor dysfunction.

neuroscience↗

Bayesian Integration in Sense of Agency: Understanding Self-attribution and Individual Differences

This study developed a Bayesian integration model to explore individual differences in the sense of agency, particularly when multiple sensory cues influence action perception. Behavioral results showed that individuals consistently integrate sensory cues in agency judgments, though cue weighting varies significantly across individuals. The estimated parameters of our model successfully captured these differences, reflecting individual sensitivities and criteria for agency. Higher sensitivity to sensory inputs was associated with lower variance in the likelihood distribution under the assumption of control. Our model provides critical insights into the mechanisms of the sense of agency and its variability, highlighting the models potential for understanding both typical and disordered agency experiences.

neuroscience↗