Journal
JOURNAL OF NEURAL ENGINEERING
Volume 9, Issue 3, Pages -Publisher
IOP PUBLISHING LTD
DOI: 10.1088/1741-2560/9/3/036006
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Funding
- Grants-in-Aid for Scientific Research [21240039] Funding Source: KAKEN
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Subdural electrode arrays provide stable, less invasive electrocorticogram (ECoG) recordings of neural signals than multichannel needle electrodes. Accurate reconstruction of intracortical local field potentials (LFPs) from ECoG signals would provide a critical step for the development of a less invasive, high-performance brain-machine interface; however, neural signals from individual ECoG channels are generally coarse and have limitations in estimating deep layer LFPs. Here, we developed a high-density, 32-channel, micro-ECoG array and applied a sparse linear regression algorithm to reconstruct the LFPs at various depths of primary motor cortex (M1) in a monkey performing a reach-and-grasp task. At 0.2 mm beneath the cortical surface, the real and estimated LFPs were significantly correlated (correlation coefficient (r); 0.66 +/- 0.11), and the r at 3.2 mm was still as high as 0.55 +/- 0.04. A time-frequency analysis of the reconstructed LFP showed clear transition between resting and movements by the monkey. These methods would be a powerful tool with wide-ranging applicability in neuroscience studies.
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