Real-time control of walking using recordings from dorsal root ganglia.
Real-time control of walking using recordings from dorsal root ganglia.
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DOI：
10.1088/1741-2560/10/5/056008
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发表时间：
2013-10
影响因子：
4
通讯作者：
Stein RB
中科院分区：
文献类型：
--
作者：
Holinski BJ;Everaert DG;Mushahwar VK;Stein RB
本研究的目的是实时解码背根神经节(DRG)的感觉信息，并利用这些信息采用由前馈和反馈组成的基于状态的控制算法来适应单侧步进的控制。在5只麻醉猫中，后肢踩在走道或跑步机上是通过植入微丝阵列对脊髓进行模式电刺激而产生的，同时从背根神经节记录神经元活动。不同的参数，包括髋关节和肢体终点之间的矢量的距离和倾斜度，集成陀螺仪和地面反作用力，都是根据记录的神经放电速率建模的。然后将这些模型用于闭环反馈。总体而言，运动学传感器(肢体终点、集成陀螺仪)基于射速的预测是最准确的，平均可解释60%的方差。力量预测的预测精度最低(48±13%)，但在闭环反馈控制下的步进规则激活成功率最高(96.3%)。除倾斜外，所有传感器模式的预测都随着时间的推移而下降。移动肢体的感觉反馈将是任何神经假体装置的理想组成部分，这些装置旨在恢复人们在脊髓损伤后的行走。这项研究提供了一个原理证明，即来自DRG的实时反馈是可能的，并且随着进一步的发展，可以形成完全可植入的神经假体装置的一部分。
The goal of this study was to decode sensory information from the dorsal root ganglia (DRG) in real time, and to use this information to adapt the control of unilateral stepping with a state-based control algorithm consisting of both feed-forward and feedback components. In five anesthetized cats, hind limb stepping on a walkway or treadmill was produced by patterned electrical stimulation of the spinal cord through implanted microwire arrays, while neuronal activity was recorded from the dorsal root ganglia. Different parameters, including distance and tilt of the vector between hip and limb endpoint, integrated gyroscope and ground reaction force were modeled from recorded neural firing rates. These models were then used for closed-loop feedback. Overall, firing-rate based predictions of kinematic sensors (limb endpoint, integrated gyroscope) were the most accurate with variance accounted for >60% on average. Force prediction had the lowest prediction accuracy (48±13%) but produced the greatest percentage of successful rule activations (96.3%) for stepping under closed-loop feedback control. The prediction of all sensor modalities degraded over time, with the exception of tilt. Sensory feedback from moving limbs would be a desirable component of any neuroprosthetic device designed to restore walking in people after a spinal cord injury. This study provides a proof-of-principle that real-time feedback from the DRG is possible and could form part of a fully implantable neuroprosthetic device with further development.
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影响因子：
4.8
作者：
Patil, PG;Carmena, LM;Turner, DA
通讯作者：
Turner, DA
DOI：
10.1109/86.830944
发表时间：
2000-03-01
期刊：
IEEE TRANSACTIONS ON REHABILITATION ENGINEERING
影响因子：
--
作者：
Mushahwar, VK;Horch, KW
通讯作者：
Horch, KW
影响因子：
2.5
作者：
Cham, JG;Branchaud, EA;Burdick, JW
通讯作者：
Burdick, JW
影响因子：
56.9
作者：
LOEB, GE;BAK, MJ;DUYSENS, J
通讯作者：
DUYSENS, J
DOI：
10.1109/tnsre.2012.2203338
发表时间：
2012-07-01
影响因子：
4.9
作者：
Lovse, Lisa;Bobet, Jacques;Stein, Richard B.
通讯作者：
Stein, Richard B.