title: Somatosensory-motor adaptation of orofacial actions in posterior parietal and ventral premotor cortices.
abstract: Recent studies have provided evidence for sensory-motor adaptive changes and action goal coding of visually guided manual action in premotor and posterior parietal cortices. To extend these results to orofacial actions, devoid of auditory and visual feedback, we used a repetition suppression paradigm while measuring neural activity with functional magnetic resonance imaging during repeated intransitive and silent lip, jaw and tongue movements. In the motor domain, this paradigm refers to decreased activity in specific neural populations due to repeated motor acts and has been proposed to reflect sensory-motor adaptation. Orofacial movements activated a set of largely overlapping, common brain areas forming a core neural network classically involved in orofacial motor control. Crucially, suppressed neural responses during repeated orofacial actions were specifically observed in the left ventral premotor cortex, the intraparietal sulcus, the inferior parietal lobule and the superior parietal lobule. Since no visual and auditory feedback were provided during orofacial actions, these results suggest somatosensory-motor adaptive control of intransitive and silent orofacial actions in these premotor and parietal regions.
authors.affiliation: Gipsa-Lab, Département Parole & Cognition, UMR CNRS 5216 & Grenoble Université, Grenoble, France. krystyna.grabski@gipsa-lab.inpg.fr
authors.forename: Krystyna
authors.initials: K
authors.lastname: Grabski
authors.forename: Laurent
authors.initials: L
authors.lastname: Lamalle
authors.forename: Marc
authors.initials: M
authors.lastname: Sato
mesh_terms: D000222:Adaptation, Physiological; D000328:Adult; D001931:Brain Mapping; D005145:Face / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D009044:Motor Cortex / Q000502:physiology*; D010296:Parietal Lobe / Q000502:physiology*; D011597:Psychomotor Performance / Q000502:physiology*; D013647:Task Performance and Analysis