Classification of Individual Finger Movements Using Intracortical Recordings in Human Motor Cortex.

BACKGROUND: Intracortical microelectrode arrays have enabled people with tetraplegia to use a brain-computer interface for reaching and grasping. In order to restore dexterous movements, it will be necessary to control individual fingers. OBJECTIVE: To predict which finger a participant with hand paralysis was attempting to move using intracortical data recorded from the motor cortex. METHODS: A 31-yr-old man with a C5/6 ASIA B spinal cord injury was implanted with 2 88-channel microelectrode arrays in left motor cortex. Across 3 d, the participant observed a virtual hand flex in each finger while neural firing rates were recorded. A 6-class linear discriminant analysis (LDA) classifier, with 10 × 10-fold cross-validation, was used to predict which finger movement was being performed (flexion/extension of all 5 digits and adduction/abduction of the thumb). RESULTS: The mean overall classification accuracy was 67% (range: 65%-76%, chance: 17%), which occurred at an average of 560 ms (range: 420-780 ms) after movement onset. Individually, thumb flexion and thumb adduction were classified with the highest accuracies at 92% and 93%, respectively. The index, middle, ring, and little achieved an accuracy of 65%, 59%, 43%, and 56%, respectively, and, when incorrectly classified, were typically marked as an adjacent finger. The classification accuracies were reflected in a low-dimensional projection of the neural data into LDA space, where the thumb-related movements were most separable from the finger movements. CONCLUSION: Classification of intention to move individual fingers was accurately predicted by intracortical recordings from a human participant with the thumb being particularly independent.

What is the functional relevance of reorganization in primary motor cortex after spinal cord injury?

Motor output maps within primary motor cortex are widely distributed and modified by motor skill learning and neurological injury. Functions that these maps represent after spinal cord injury remain debatable. Moreover, the pattern of reorganization and whether it supports recovery of compromised motor function is not well understood. A deeper understanding of the pathophysiological mechanisms of motor dysfunction after spinal cord injury is necessary to develop and optimize repair strategies. There are three purposes for this review. The first is to synthesize available research on spontaneous reorganization with primary motor cortex following spinal cord injury. The second is to draw on existing evidence from the motor skill learning and brain injury literature to interpret the form and purpose of motor maps. The third purpose is to account for the existing research on intervention-induced reorganization of primary motor cortex following spinal cord injury. We conclude with directions for future work, emphasizing the need for multi-modal investigations that construct maps with both neuroimaging and non-invasive stimulation methods to derive a cohesive understanding of the effects of spinal cord injury on reorganization within primary motor cortex.