High accuracy decoding of movement target direction in non-human primates based on common spatial patterns of local field potentials.
High accuracy decoding of movement target direction in non-human primates based on common spatial patterns of local field potentials.
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DOI：
10.1371/journal.pone.0014384
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发表时间：
2010-12-21
期刊：
影响因子：
3.7
通讯作者：
Pellizzer G
中科院分区：
文献类型：
--
作者：
Ince NF;Gupta R;Arica S;Tewfik AH;Ashe J;Pellizzer G
目前脑机接口技术的发展受到限制，其中包括对单单元和多单元神经信号长期稳定性的担忧。此外，对潜在的更稳定的神经信号（如局部场电位）与运动行为之间关系的理解仍处于早期阶段。我们测试的假设，神经数据的空间相关模式可以用来解码运动目标的方向。特别是，我们研究了局部场电位（LFP），这被认为是更稳定的时间比单一单位活动（SUA）。利用长期植入非人灵长类动物背侧运动前区和初级运动皮层的电极的LFP记录，我们观察到：（1）根据初级运动皮层（M1）和背侧运动前区（PMd）神经活动的空间相关模式，可以高保真地解码运动目标的方向;（ii）LFP的解码准确度与同时记录的SUA集合所获得的解码准确度相似;（iii）方向信息随LFP频率子带而变化，在低频子带中更大，（0.3-4赫兹）和高（iv）方向信息量在M1和PMd中相似;（v）在运动开始之前很好地实现了可靠的解码;以及（vi）LFP在一周的时间内相对稳定。结果表明，LFP信号的空间相关模式可以用来解码运动目标的方向。这一发现表明，运动参数，如目标方向，有一个稳定的空间分布在初级运动和背侧运动前皮层，这可能是用于脑机接口。
The current development of brain-machine interface technology is limited, among other factors, by concerns about the long-term stability of single- and multi-unit neural signals. In addition, the understanding of the relation between potentially more stable neural signals, such as local field potentials, and motor behavior is still in its early stages. We tested the hypothesis that spatial correlation patterns of neural data can be used to decode movement target direction. In particular, we examined local field potentials (LFP), which are thought to be more stable over time than single unit activity (SUA). Using LFP recordings from chronically implanted electrodes in the dorsal premotor and primary motor cortex of non-human primates trained to make arm movements in different directions, we made the following observations: (i) it is possible to decode movement target direction with high fidelity from the spatial correlation patterns of neural activity in both primary motor (M1) and dorsal premotor cortex (PMd); (ii) the decoding accuracy of LFP was similar to the decoding accuracy obtained with the set of SUA recorded simultaneously; (iii) directional information varied with the LFP frequency sub-band, being greater in low (0.3–4 Hz) and high (48–200 Hz) frequency bands than in intermediate bands; (iv) the amount of directional information was similar in M1 and PMd; (v) reliable decoding was achieved well in advance of movement onset; and (vi) LFP were relatively stable over a period of one week. The results demonstrate that the spatial correlation patterns of LFP signals can be used to decode movement target direction. This finding suggests that parameters of movement, such as target direction, have a stable spatial distribution within primary motor and dorsal premotor cortex, which may be used for brain-machine interfaces.