Modern brain-machine interfaces can return function to people with paralysis, but current upper extremity brain-machine interfaces are unable to reproduce control of individuated finger movements. Here, for the first time, we present a real-time, high-speed, linear brain-machine interface in nonhuman primates that utilizes intracortical neural signals to bridge this gap. We created a non-prehensile task that systematically individuates two finger groups, the index finger and the middle-ring-small fingers combined. During online brain control, the ReFIT Kalman filter could predict individuated finger group movements with high performance. Next, training ridge regression decoders with individual movements was sufficient to predict untrained combined movements and vice versa. Finally, we compared the postural and movement tuning of finger-related cortical activity to find that individual cortical units simultaneously encode multiple behavioral dimensions. Our results suggest that linear decoders may be sufficient for brain-machine interfaces to execute high-dimensional tasks with the performance levels required for naturalistic neural prostheses.
Human finger independence: limitations due to passive mechanical coupling versus active neuromuscular control
Relationships among low-frequency local field potentials, spiking activity, and three-dimensional reach and grasp kinematics in primary motor and ventral premotor cortices
Spatiotemporal variation of multiple neurophysiological signals in the primary motor cortex during dexterous reach-to-grasp movements.
Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas
State-based decoding of hand and finger kinematics using neuronal ensemble and LFP activity during dexterous reach-to-grasp movements
Primary Motor Cortex Neurons during Individuated Finger and Wrist Movements: Correlation of Spike Firing Rates with the Motion of Individual Digits versus Their Principal Components
Principal components of hand kinematics and neurophysiological signals in motor cortex during reach to grasp movements
Ten-dimensional anthropomorphic arm control in a human brain-machine interface: difficulties, solutions, and limitations
Brain-state classification and a dual-state decoder dramatically improve the control of cursor movement through a brain-machine interface
Individual finger control of a modular prosthetic limb using high-density electrocorticography in a human subject
High performance communication by people with paralysis using an intracortical brain-computer interface
Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration
Brain developing: Influences & Outcomes
This feed focuses on influences that affect the developing brain including genetics, fetal development, prenatal care, and gene-environment interactions. Here is the latest research in this field.