Distinct Neural Components of Visually Guided Grasping during Planning and Execution
Name
8504.full.pdf
Description
Published version
Size
2.14 MB
Format
Adobe PDF
Checksum (MD5)
7206c5ceeff92540fcdb32231faa14f8
Author(s)
Klein, Lina K
Maiello, Guido
Stubbs, Kevin
Proklova, Daria
Chen, Juan
Paulun, Vivian C
Culham, Jody C
Fleming, Roland W
Date Issued
December 6, 2023
Journal
The Journal of Neuroscience
Publisher
Society for Neuroscience
Citation
Lina K. Klein, Guido Maiello, Kevin Stubbs, Daria Proklova, Juan Chen, Vivian C. Paulun, Jody C. Culham, Roland W. Fleming, Journal of Neuroscience 6 December 2023, 43 (49) 8504-8514.
Version
Final published version
Abstract
Selecting suitable grasps on three-dimensional objects is a challenging visuomotor computation, which involves combining information about an object (e.g., its shape, size, and mass) with information about the actor's body (e.g., the optimal grasp aperture and hand posture for comfortable manipulation). Here, we used functional magnetic resonance imaging to investigate brain networks associated with these distinct aspects during grasp planning and execution. Human participants of either sex viewed and then executed preselected grasps on L-shaped objects made of wood and/or brass. By leveraging a computational approach that accurately predicts human grasp locations, we selected grasp points that disentangled the role of multiple grasp-relevant factors, that is, grasp axis, grasp size, and object mass. Representational Similarity Analysis revealed that grasp axis was encoded along dorsal-stream regions during grasp planning. Grasp size was first encoded in ventral stream areas during grasp planning then in premotor regions during grasp execution. Object mass was encoded in ventral stream and (pre)motor regions only during grasp execution. Premotor regions further encoded visual predictions of grasp comfort, whereas the ventral stream encoded grasp comfort during execution, suggesting its involvement in haptic evaluation. These shifts in neural representations thus capture the sensorimotor transformations that allow humans to grasp objects.
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1523/JNEUROSCI.0335-23.2023
