Reversible large-scale modification of cortical networks during neuroprosthetic control.

Reversible large-scale modification of cortical networks during neuroprosthetic control.
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DOI:
10.1038/nn.2797
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发表时间:
2011-05
影响因子:
25
通讯作者:
Carmena, Jose M.
Carmena, Jose M.
中科院分区:
医学1区
文献类型:
--
作者:
Ganguly, Karunesh;Dimitrov, Dragan F.;Wallis, Jonathan D.;Carmena, Jose M.

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脑机接口(BMI)提供了一个框架来研究皮层动力学和学习的神经相关性。神经假体控制与直接投射到BMI的特定神经元(以下称为“直接神经元”)的调谐变化相关。然而,人们对更大的网络动态知之甚少。通过监测与BMI控制有因果关系或间接参与的神经元的集合,在这里,我们表明,熟练的神经假体控制与猕猴皮层网络的大规模修改有关。具体而言,直接和间接神经元的首选方向都发生了变化。有趣的是,随着学习,间接神经活动的净调制与直接活动相比相对减少。这些广泛的直接和间接群体活动的差异变化从一天到下一天非常稳定,并且很容易与长期存在的上肢控制皮层网络共存。因此,学习BMI控制的过程与基于其与运动控制的特定关系的神经群体的差异性修改相关联。
Brain-Machine Interfaces (BMI) provide a framework to study cortical dynamics and the neural correlates of learning. Neuroprosthetic control has been associated with tuning changes in specific neurons directly projecting to the BMI (hereafter ‘direct neurons’). However, little is known about the larger network dynamics. By monitoring ensembles of neurons that were either causally linked to BMI control or indirectly involved, here we show that proficient neuroprosthetic control is associated with large-scale modifications to the cortical network in macaque monkeys. Specifically, there were changes in the preferred direction of both direct and indirect neurons. Interestingly, with learning, there was a relative decrease in the net modulation of indirect neural activity in comparison to the direct activity. These widespread differential changes in the direct and indirect population activity were remarkably stable from one day to the next and readily coexisted with the long-standing cortical network for upper limb control. Thus, the process of learning BMI control is associated with differential modification of neural populations based on their specific relation to movement control.
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