Olivier Lambercy

The paper reanalyzes passive finger movement fMRI data using univariate and multivariate methods to show that multivariate analysis better identifies brain regions encoding kinesthesia and proprioception, with larger neural representation for amplitude and direction than velocity.

This study investigates how transcutaneous auricular vagus nerve stimulation (taVNS) interacts with movement in healthy adults, finding context-specific effects on motor systems without widespread autonomic activation.

This paper evaluates the Virtual Peg Insertion Test (VPIT) as a technology-aided assessment for functionally relevant sensorimotor impairments in arm and hand of post-stroke individuals, finding strong correlations with clinical scales and robust metrics.

The paper introduces a framework to select and validate digital health metrics for assessing sensorimotor impairments using the Virtual Peg Insertion Test, showing its feasibility and validity in neurological patients.

The paper introduces a method to estimate and model intra-subject variability in psychometric functions using simulations and behavioral data, improving reliability estimates in psychophysical assessments.

The paper evaluates sampling procedures for psychometric function estimation using application-specific metrics to improve efficiency and accuracy in clinical settings.

This paper introduces a method to detect sustained inattention during psychophysical experiments, improving threshold estimates by reducing bias from inattentive trials.