3 years ago

Emergent Coordination Underlying Learning to Reach-to-Grasp with a Brain-Machine Interface.

Kelsey Shattuck, Nicholas G Hatsopoulos, Mukta Vaidya, Marc W Slutzky, Ahmed Eleryan, Leslie C Osborne, Islam Badreldin, Karthikeyan Balasubramanian, Andrew H Fagg, Suchin Gururangan, Joshua Southerland, Karim G Oweiss
The development of coordinated reach to grasp has been well-studied in infants and children (Kuhtz-Buschbeck, Stolze, Jöhnk, Boczek-Funcke, & Illert, 1998; von Hofsten, 1984a). However, the role of motor cortex during this development is unclear because it is difficult to study in humans. We took the approach using a brain-machine interface (BMI) paradigm in rhesus macaques with prior therapeutic amputations to examine the emergence of novel, coordinated reach-to-grasp. Previous research has shown that after amputation, the cortical area previously involved in the control of the lost limb undergoes reorganization (Qi, Stepniewska, & Kaas, 2000; Schieber & Deuel, 1997; Wu & Kaas, 1999), but prior BMI work has largely relied on finding neurons that already encode specific movement-related information. Here, we taught macaques to cortically control a robotic arm and hand through operant conditioning using neurons that were not explicitly reach- or grasp-related. Over the course of training, stereotypical patterns emerged and stabilized in the cross-covariance between the reaching and grasping velocity profiles, between pairs of neurons involved in controlling reach and grasp, and to a comparable, but lesser, extent between other stable neurons in the network. In fact, we found evidence of this structured coordination between pairs composed of all combinations of neurons decoding reach or grasp, and other stable neurons in the network. The degree of and participation in coordination was highly correlated across all pair-types. Our approach provides a unique model for studying the development of novel, coordinated reach-to-grasp at the behavioral and cortical levels.

Publisher URL: http://doi.org/10.1152/jn.00982.2016

DOI: 10.1152/jn.00982.2016

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.