Neural subspaces of imagined movements in parietal cortex remain stable over several years in humans - Journal of Neural Engineering, 2024
Bashford, L., Rosenthal, I. A., Kellis, S., Bjånes, D., Pejsa, K., Brunton, B. W., Andersen, R. A.
Abstact
Objective. A crucial goal in brain–machine interfacing is the long-term stability of neural decoding performance, ideally without regular retraining. Long-term stability has only been previously demonstrated in non-human primate experiments and only in primary sensorimotor cortices. Here we extend previous methods to determine long-term stability in humans by identifying and aligning low-dimensional structures in neural data. Approach. Over a period of 1106 and 871 d respectively, two participants completed an imagined center-out reaching task. The longitudinal accuracy between all day pairs was assessed by latent subspace alignment using principal components analysis and canonical correlations analysis of multi-unit intracortical recordings in different brain regions (Brodmann Area 5, Anterior Intraparietal Area and the junction of the postcentral and intraparietal sulcus). Main results. We show the long-term stable representation of neural activity in subspaces of intracortical recordings from higher-order association areas in humans. Significance. These results can be practically applied to significantly expand the longevity and generalizability of brain–computer interfaces.
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