Neural Subspaces of Imagined Movements in Parietal Cortex Remain Stable over Several Years in Humans

Overview

Journal J Neural Eng

Specialties Biomedical Engineering
Neurology

Date 2024 Aug 12

PMID 39134021

Authors

L Bashford

I A Rosenthal

S Kellis

D Bjanes

K Pejsa

B W Brunton

R A Andersen

Affiliations

Soon will be listed here.

Abstract

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.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).We show the long-term stable representation of neural activity in subspaces of intracortical recordings from higher-order association areas in humans.These results can be practically applied to significantly expand the longevity and generalizability of brain-computer interfaces.Clinical TrialsNCT01849822, NCT01958086, NCT01964261.

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