Winston D. Byblow

This study shows that high-intensity interval training (HIIT) improves motor skill learning, but neither online nor offline learning processes are specifically responsible, and BDNF or DRD2/ANKK1 genotypes do not influence this effect.

This study investigates whether nonselective response inhibition during selective stopping arises from a global pause or a specific cancel process, finding it primarily results from a nonselective pause but not fully explains the stopping-interference effect.

This study investigates interhemispheric influences during selective stopping with proactive cueing, finding that stopping selectivity increases with stopping certainty and proactive response inhibition occurs in the cued hand.

The paper evaluates the proportional recovery rule (PRR) as a model for motor impairment recovery post-stroke, finding support for its biological relevance and introducing statistical methods to assess recovery models.

This study finds that smaller ipsilesional hippocampal volume is associated with worse upper limb sensorimotor impairment in chronic stroke patients, with a stronger effect in women.

This study shows that global brain health, measured by brain age, influences post-stroke sensorimotor outcomes and mediates the effect of lesion damage.

This study finds that smaller spared subcortical nuclei are linked to worse sensorimotor outcomes after stroke, varying by time since stroke and type of impairment.

This study investigates how short-interval intracortical inhibition (SICI) changes during motor imagery using an adaptive threshold-hunting paradigm and finds that SICI modulation depends on conditioning stimulus intensity.

The paper investigates muscle synergies in an isometric upper limb task, finding significant intermuscular coherence in the alpha band within synergies.

This study examines how different levels of arm weight support affect muscle activity, synergies, and corticomotor excitability in chronic stroke patients and healthy controls.

This paper shows that using motor evoked potential (MEP) status to select stroke patients improves trial efficiency by reducing sample size and recruitment time.

This study examines how fatigue affects muscle synergy recruitment but not structure during upper limb movements using EMG data and non-negative matrix factorization.