The impact of task context on predicting finger movements in a brain-machine interface.

The impact of task context on predicting finger movements in a brain-machine interface.
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DOI:
10.7554/elife.82598
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发表时间:
2023-06-07
期刊:
影响因子:
7.7
通讯作者:
Chestek CA
Chestek CA
中科院分区:
生物学1区
文献类型:
--
作者:
Mender MJ;Nason-Tomaszewski SR;Temmar H;Costello JT;Wallace DM;Willsey MS;Ganesh Kumar N;Kung TA;Patil P;Chestek CA

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脑机接口(BMI)恢复手部运动功能的临床转化的一个关键因素是它们对任务变化的鲁棒性。例如,使用功能性电刺激(FES),患者自己的手将被用来在其他类似的运动中产生广泛的力。为了研究任务变化对BMI表现的影响,我们训练两只恒河猴用他们的物理手控制虚拟手,同时我们为每个手指组(食指或中环-小)添加弹簧或改变他们的手腕姿势。使用同时记录的皮质内神经活动,手指位置和肌电图,我们发现在一种情况下训练的解码器不能很好地推广到其他情况,导致预测误差显着增加,特别是肌肉激活。然而,对于虚拟手的在线BMI控制,在线控制期间改变解码器训练任务上下文或手的物理上下文对在线性能影响不大。我们通过表明神经群体活动的结构在新的背景下保持相似来解释这种二分法,这可以允许在线快速调整。此外,我们发现神经活动的轨迹与新环境中所需的肌肉激活成正比。神经活动的这种转变可能解释了对脱离上下文的运动学预测的偏见,并提出了一个可以帮助预测不同幅度肌肉激活同时产生类似运动学的特征。
A key factor in the clinical translation of brain-machine interfaces (BMIs) for restoring hand motor function will be their robustness to changes in a task. With functional electrical stimulation (FES) for example, the patient’s own hand will be used to produce a wide range of forces in otherwise similar movements. To investigate the impact of task changes on BMI performance, we trained two rhesus macaques to control a virtual hand with their physical hand while we added springs to each finger group (index or middle-ring-small) or altered their wrist posture. Using simultaneously recorded intracortical neural activity, finger positions, and electromyography, we found that decoders trained in one context did not generalize well to other contexts, leading to significant increases in prediction error, especially for muscle activations. However, with respect to online BMI control of the virtual hand, changing either the decoder training task context or the hand’s physical context during online control had little effect on online performance. We explain this dichotomy by showing that the structure of neural population activity remained similar in new contexts, which could allow for fast adjustment online. Additionally, we found that neural activity shifted trajectories proportional to the required muscle activation in new contexts. This shift in neural activity possibly explains biases to off-context kinematic predictions and suggests a feature that could help predict different magnitude muscle activations while producing similar kinematics.
DOI: 10.1007/978-0-387-77064-2_30
发表时间: 2009
影响因子: --
作者:
Schieber, Marc H.;Lang, C. E.;Reilly, K. T.;MeNulty, P.;Sirigu, A.
通讯作者: Sirigu, A.