Multiscale low-dimensional motor cortical state dynamics predict naturalistic reach-and-grasp behavior.
Multiscale low-dimensional motor cortical state dynamics predict naturalistic reach-and-grasp behavior.
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DOI：
10.1038/s41467-020-20197-x
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发表时间：
2021-01-27
影响因子：
16.6
通讯作者：
Shanechi MM
中科院分区：
文献类型：
--
作者：
Abbaspourazad H;Choudhury M;Wong YT;Pesaran B;Shanechi MM
运动功能取决于跨越种群活动的多个空间时间尺度，从神经元的峰值到较大的局部场势（LFP），低维数量动态的多个尺度与动作的动力学尤为重要。对于猴子的尖峰网络活动，我们表现出低维的峰值动力学，而LFP活动则暴露了几种主模式，但尽管有两种预测的尺度和共享尺度，但它具有独特的衰减特征。仅复制行为模式，这种多尺度模式的衰变说明了行为。
运动控制涉及多个时空尺度上的神经动力学。
Motor function depends on neural dynamics spanning multiple spatiotemporal scales of population activity, from spiking of neurons to larger-scale local field potentials (LFP). How multiple scales of low-dimensional population dynamics are related in control of movements remains unknown. Multiscale neural dynamics are especially important to study in naturalistic reach-and-grasp movements, which are relatively under-explored. We learn novel multiscale dynamical models for spike-LFP network activity in monkeys performing naturalistic reach-and-grasps. We show low-dimensional dynamics of spiking and LFP activity exhibited several principal modes, each with a unique decay-frequency characteristic. One principal mode dominantly predicted movements. Despite distinct principal modes existing at the two scales, this predictive mode was multiscale and shared between scales, and was shared across sessions and monkeys, yet did not simply replicate behavioral modes. Further, this multiscale mode’s decay-frequency explained behavior. We propose that multiscale, low-dimensional motor cortical state dynamics reflect the neural control of naturalistic reach-and-grasp behaviors. Motor control involves neural dynamics at multiple spatiotemporal scales. Here the authors show that a multiscale, low-dimensional dynamical structure that is shared between scales and subjects reflects naturalistic reach-and-grasp movements in macaques.
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影响因子：
1.2
作者：
Belitski, Andrei;Panzeri, Stefano;Magri, Cesare;Logothetis, Nikos K.;Kayser, Christoph
通讯作者：
Kayser, Christoph
细胞外田地和电流的起源-EEG，ECOG，LFP和尖峰。
DOI：
10.1038/nrn3241
发表时间：
2012-05-18
期刊：
Nature reviews. Neuroscience
影响因子：
--
作者：
Buzsáki G;Anastassiou CA;Koch C
通讯作者：
Koch C
影响因子：
16.2
作者：
Hall, Thomas M.;de Carvalho, Felipe;Jackson, Andrew
通讯作者：
Jackson, Andrew
影响因子：
4
作者：
Bighamian, Ramin;Wong, Yan T.;Shanechi, Maryam M.
通讯作者：
Shanechi, Maryam M.
影响因子：
4
作者：
Flint RD;Lindberg EW;Jordan LR;Miller LE;Slutzky MW
通讯作者：
Slutzky MW