August 2023
Volume 23, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2023
MEG signatures of arm posture coding and integration into movement plans
Author Affiliations & Notes
  • Gunnar Blohm
    Queen's University, Centre for Neuroscience Studies, VISTA, CAPnet
  • Doug Cheyne
    University of Toronto, The Hospital for Sick Children Research Institute
  • Doug Crawford
    York University, Centre for Vision Research, VISTA, CAPnet
  • Footnotes
    Acknowledgements  CIHR (Canada), Marie Curie Fellowships (EU), NSERC (Canada)
Journal of Vision August 2023, Vol.23, 5080. doi:https://doi.org/10.1167/jov.23.9.5080
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Gunnar Blohm, Doug Cheyne, Doug Crawford; MEG signatures of arm posture coding and integration into movement plans. Journal of Vision 2023;23(9):5080. https://doi.org/10.1167/jov.23.9.5080.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

To plan a visually guided movement, the brain must calculate an extrinsic movement vector and then convert this into intrinsic muscle commands for current posture. Where, how and when this happens in the human cortical arm movement planning network remains largely unknown. Here, we use high spatiotemporal resolution magnetoencephalography (MEG) combined with a pro-/anti-wrist pointing task with 3 different forearm postures to investigate this question. First, we then computed cortical source activity in 16 previously identified bilateral cortical areas (Alikhanian, et al., Frontiers in Neuroscience 2013). We then compared pro/anti trials to identify brain areas coding for stimulus direction vs. movement direction. Sensory activity in α / β bands progressed from posterior to anterior cortical areas, culminating in a β-band movement plan in primary motor cortex. During the delay, movement codes then retroactively replaced the sensory code in more posterior areas (Blohm, et al., Cerebral Cortex 2019). We then contrasted oscillatory activity related to opposing wrist postures to find posture coding and test when and where the extrinsic-to-intrinsic transformation occurred. We found a distinct pair of overlapping networks coding for posture (in γ band) vs. posture-specific movement plans (β). Together with previous results showing a yet again different sub-network specifying motor effector and it’s integration (Blohm, et al., J Neurophysiol 2022), we demonstrate that distinct cortical sub-networks carry out different spatiotemporal computations for movement planning.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×