Propositions-vd-Vlie T.pdf

1. Individual differences in visuomotor adaptation rate and electrophysiological response to error are related to motor noise.
2. Statistical power of upper extremity rehabilitation trials after stroke can be increased by modeling recovery with exponential proportional recovery functions.
3. Mapping cortical areas using transcranial magnetic stimulation can be accelerated with pseudorandom stimulation and digital reconstruction.
4. Single-session cerebellar transcranial direct current stimulation enhances eyeblink conditioning in people with a genetic predisposition for slower learning.
5. Long-lasting offline transcranial direct current stimulation does not improve motor skill learning or upper limb function recovery in stroke patients.
6. The Val66Met polymorphism in brain-derived neurotrophic growth factor can accelerate or decelerate motor learning depending on task specifics.
7. Eye-tracking based estimation of preferential attention for social stimuli in infants predicts social skills development.
8. Cell-free DNA in the bloodstream holds information about neurodegeneration patterns.
9. Cluster-based analysis of clinical data can uncover subgroups relevant for understanding disease pathophysiology and treatment individualization.
10. Individual differences in recovery after stroke can be partially explained by genetic variations.
11. "Je n’invente rien, je redécouvre" (Auguste Rodin).