Propagating spatiotemporal activity patterns across macaque motor cortex carry kinematic information.

Propagating spatiotemporal activity patterns across macaque motor cortex carry kinematic information.
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DOI:
10.1073/pnas.2212227120
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发表时间:
2023-01-24
影响因子:
11.1
通讯作者:
--
中科院分区:
综合性期刊1区
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--
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包括波在内的波动活动模式在皮层区域普遍存在,但它们在携带行为相关信息方面的作用的实验证据很少,并且,当存在时,通常反映了一般的行为状态。这项工作提供了第一个证据,据我们所知,一个空间组织的招聘顺序的活动在整个运动皮层片,通知即将到来的运动的细节。此外,传播的特性提供了额外的预测能力,在解码运动学超出信息丰富的活动幅度。这些传播模式所展示的非冗余运动特定信息不仅对运动皮层的功能组织具有科学意义,而且还具有帮助翻译脑机接口研究的潜力。在感觉、运动和关联皮层区域,时空神经模式的变化是非常明显的。然而,目前还不清楚神经传播的任何特征是否携带有关特定行为细节的信息。在这里,我们提供了第一个证据之间的联系,皮层传播的方向和具体的行为特征的一个即将到来的运动在一个试验的基础上。我们记录了局部场电位(LFPs)从多电极阵列植入在初级运动皮层的两个恒河猴,而他们进行了二维达到任务。从LFP振幅中的信息丰富的高伽马带(200至400 Hz)包络中提取了重复模式。我们发现,传播模式的确切方向根据初始运动方向系统地变化,使运动学预测。此外,这些传播模式的特性提供了超出LFP幅度本身的额外预测能力,这表明在细化脑机接口中包括中观时空特性的价值。
Propagating activity patterns including waves are prevalent across cortical areas, but experimental evidence for their role in carrying behaviorally relevant information is rare, and, when present, often reflects the general behavioral state. This work provides the first evidence, to our knowledge, of a spatially organized recruitment order of activity across the motor cortical sheet that informs details of the upcoming movement. Furthermore, characteristics of propagation provide additional predictive power in decoding kinematics beyond information-rich activity amplitudes. The nonredundant movement-specific information exhibited by these propagating patterns not only has scientific implications for the functional organization of motor cortex but also holds potential to aid translational brain–machine interface research. Propagating spatiotemporal neural patterns are widely evident across sensory, motor, and association cortical areas. However, it remains unclear whether any characteristics of neural propagation carry information about specific behavioral details. Here, we provide the first evidence for a link between the direction of cortical propagation and specific behavioral features of an upcoming movement on a trial-by-trial basis. We recorded local field potentials (LFPs) from multielectrode arrays implanted in the primary motor cortex of two rhesus macaque monkeys while they performed a 2D reach task. Propagating patterns were extracted from the information-rich high-gamma band (200 to 400 Hz) envelopes in the LFP amplitude. We found that the exact direction of propagating patterns varied systematically according to initial movement direction, enabling kinematic predictions. Furthermore, characteristics of these propagation patterns provided additional predictive capability beyond the LFP amplitude themselves, which suggests the value of including mesoscopic spatiotemporal characteristics in refining brain–machine interfaces.
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