Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex.
Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex.
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DOI:
10.1088/1741-2560/8/4/045005
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发表时间:
2011-08
影响因子:
4
通讯作者:
Shenoy KV
中科院分区:
文献类型:
--
作者:
Chestek CA;Gilja V;Nuyujukian P;Foster JD;Fan JM;Kaufman MT;Churchland MM;Rivera-Alvidrez Z;Cunningham JP;Ryu SI;Shenoy KV
Cortically-controlled prosthetic systems aim to help disabled patients by translating neural signals from the brain into control signals for guiding prosthetic devices. Recent reports have demonstrated reasonably high levels of performance and control of computer cursors and prosthetic limbs, but to achieve true clinical viability the long-term operation of these systems must be better understood. In particular, the quality and stability of the electrically-recorded neural signals requires further characterization. Here, we quantify action potential changes and offline neural decoder performance over 382 days of recording from 4 intracortical arrays in 3 animals. Action potential amplitude decreased by 2.4% per month on average over the course of 9.4, 10.4, and 31.7 months in 3 animals. During most time periods, decoder performance was not well correlated with action potential amplitude (p > 0.05 for 3 of 4 arrays). In two arrays from one animal, action potential amplitude declined by an average of 37% over the first 2 months after implant. However, when using simple threshold crossing events rather than well isolated action potentials, no corresponding performance loss was observed during this time using an offline decoder. One of these arrays was effectively used for online prosthetic experiments over the following year. Substantial short-term variations in waveforms were quantified using a wireless system for contiguous recording in one animal, and compared within and between days for all three animals. Overall, this study suggests that action potential amplitude declines more slowly than previously supposed, and performance can be maintained over the course of multiple years when decoding from threshold crossing events rather than isolated action potentials. This suggests that neural prosthetic systems may provide high performance over multiple years in human clinical trials.
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DOI:
10.1016/j.neunet.2009.05.005
发表时间:
2009-11
期刊:
Neural networks : the official journal of the International Neural Network Society
影响因子:
--
作者:
Chase SM;Schwartz AB;Kass RE
通讯作者:
Kass RE
DOI:
10.1109/tnsre.2009.2023293
发表时间:
2009-08-01
影响因子:
4.9
作者:
Chestek, Cynthia A.;Gilja, Vikash;Shenoy, Krishna V.
通讯作者:
Shenoy, Krishna V.
影响因子:
4.1
作者:
Blakely, Tim;Miller, Kai J.;Ojemann, Jeffrey G.
通讯作者:
Ojemann, Jeffrey G.
影响因子:
9.8
作者:
Ganguly K;Carmena JM
通讯作者:
Carmena JM
影响因子:
4
作者:
Acharya S;Fifer MS;Benz HL;Crone NE;Thakor NV
通讯作者:
Thakor NV