Variations of sensorimotor representation (structure) : the functional interplay between object features and goal-directed grasping actions

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Deutscher übersetzter Titel:Variationen der sensomotorischen Repräsentation (Struktur) : Das funktionale Zusammenspiel zwischen Objektmerkmalen und zielgerichteten Greifhandlungen
Autor:Cienfuegos, Miguel; Kim, Taeho; Schack, Thomas
Erschienen in:Brain sciences
Veröffentlicht:12 (2022), 7, Art.-ID: 873, [15 S.], Lit.
Format: Literatur (SPOLIT)
Publikationstyp: Zeitschriftenartikel
Medienart: Elektronische Ressource (online)
Sprache:Englisch
ISSN:2076-3425
DOI:10.3390/brainsci12070873
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Erfassungsnummer:PU202308007105
Quelle:BISp

Abstract des Autors

This study investigated the structure of sensorimotor representations during goal-directed grasping actions and explored their relationship with object features. Sixteen 3D-printed spheres that varied in size (i.e., a diameter of 20 mm, 40 mm, 60 mm, 80 mm) and weight (i.e., 40 g, 52 g, 76 g, 91 g) were used as experimental stimuli. The Structural Dimensional Analysis of Mental Representation (SDA-M) method was used to assess the sensorimotor representation structure during grasping. Participants were instructed in each trial to weigh, lift, or transport sets of two different spheres and to judge the similarity of the objects’ features, taking into account the executed grasping movement. Each participant performed a total of 240 trials, and object presentation was randomized. The results suggest that the functional interplay between object features and goal-directed actions accounts for the significant variations in the structure of sensorimotor representations after grasping. Specifically, the relevance of the perceived objects’ size and weight is closely interrelated to the grasping task demands and movement dynamics of the executed action. Our results suggest that distinct sensorimotor representations support individual grasping actions according to top-down influences modulated by motor intentions, functional task demands, and task-relevant object features.