bioRxivNeurosciencePreprint
Preparatory encoding of diverse features of intended movement in the human motor cortex
Mattia Rigotti-ThompsoniD, Samuel R. NasoniD, Payton H. BechefskyiD, Alexander J. AcostaiD, Nick V. HahniD, Donald T. AvansinoiD, Brice Richards, Claire NicolasiD, Yahia H AliiD, Jaimie M. HendersoniD, Leigh R. HochbergiD, Nicholas Au YongiD, Chethan PandarinathiD
Abstract
Over the course of a voluntary movement, motor cortical activity exhibits a transition from preparation to execution, with markedly different activity across these phases. Preparatory activity in particular might be used to improve brain-computer interfaces (BCIs) that harness brain activity to control external assistive devices, for example by anticipating a users intended movement trajectory for quick and fluid performance. However, to leverage preparatory activity for clinical BCIs, we must first understand which features of upcoming movements are encoded by preparatory activity in humans. In this work, we collected intracortical recordings from 3 research participants in the BrainGate2 clinical trial to investigate whether diverse features of movement, such as direction, curvature, and distance, are encoded by preparatory activity in the human motor cortex. We first show that preparatory activity is tuned to the direction of upcoming movements, and this tuning is largely preserved across movements with different effectors. Further investigation demonstrated this preparatory activity is also informative of initial and endpoint directions of curved movement trajectories, and encodes movement distance and speed independently. Finally, we present an online control paradigm that leverages preparatory activity to predict movements towards intended directions in advance, yielding rapid, self-paced control of a computer cursor by human participants. Altogether, these results demonstrate that preparatory activity in the human motor cortex encodes rich features of upcoming movement, highlighting its potential use for high performance brain-computer interface applications.
- organism: human
- assay: electronic health records
- research focus: benchmarking
- approach: experimental assay
- Citations
- 0
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