Implicit mechanisms of intention.
Implicit mechanisms of intention.
复制标题
DOI：
10.1016/j.cub.2022.03.047
复制
发表时间：
2022-05-09
期刊：
影响因子：
9.2
通讯作者：
Andersen, Richard A.
中科院分区：
文献类型：
--
作者：
Aflalo, Tyson;Zhang, Carey;Revechkis, Boris;Rosario, Emily;Pouratian, Nader;Andersen, Richard A.
高级皮质区域在意识之前甚至在没有意识的情况下对运动决策进行编码，这表明神经过程在有意识的选择之前预先确定行为。这种早期的神经编码挑战了人类能动性的流行概念。这也为传统上假设神经活动反映用户有意识意图的脑机接口（BMI）提出了基本问题。在这里，我们研究了人类后顶叶皮层单神经元活动的时间记录从植入微电极阵列相对于明确的冲动发起运动。参与者可以自由选择何时移动，是否移动，以及移动什么，他们回顾性地报告了他们感觉到移动冲动的时间。我们重复了先前的研究，表明后顶叶皮层（PPC）的神经活动在报告的冲动之前数百毫秒急剧上升。然而，我们发现这种“前意识”活动是动态神经群体反应的一部分，当参与者第一次选择执行任务时，这种反应会更早地启动。结合神经计时的细节，我们的研究结果表明，PPC编码了运动规划网络的内部模型，将高级任务目标转化为适当的运动行为。这些新数据挑战了对早期神经活动的传统解释，并为选择、行为及其神经基础之间的相互作用提供了更全面的视角。我们的研究结果对于将BMI转换为更复杂的现实环境具有重要意义。我们发现，早期的神经动力学足以驱动BMI运动之前，参与者打算发起运动。适当的算法确保BMI运动与受试者的选择意识一致。
High-level cortical regions encode motor decisions before or even absent awareness, suggesting that neural processes predetermine behavior before conscious choice. Such early neural encoding challenges popular conceptions of human agency. It also raises fundamental questions for brain-machine interfaces (BMIs) that traditionally assume neural activity reflects the user’s conscious intentions. Here we study the timing of human posterior parietal cortex single-neuron activity recorded from implanted microelectrode arrays relative to the explicit urge to initiate movement. Participants were free to choose when to move, whether to move, and what to move, and they retrospectively reported the time they felt the urge to move. We replicate prior studies by showing that posterior parietal cortex (PPC) neural activity sharply rises hundreds of milliseconds before the reported urge. However, we find that this “pre-conscious” activity is part of a dynamic neural population response that initiates much earlier, when the participant first chooses to perform the task. Together with details of neural timing, our results suggest that PPC encodes an internal model of the motor planning network that transforms high-level task objectives into appropriate motor behavior. These new data challenge traditional interpretations of early neural activity and offer a more holistic perspective on the interplay between choice, behavior, and their neural underpinnings. Our results have important implications for translating BMIs into more complex real-world environments. We find that early neural dynamics are sufficient to drive BMI movements before the participant intends to initiate movement. Appropriate algorithms ensure BMI movements align with the subject’s awareness of choice.
登录
查看更多内容
提高神经元群体记录的数据质量。
影响因子：
25
作者：
Harris KD;Quiroga RQ;Freeman J;Smith SL
通讯作者：
Smith SL
影响因子：
56.9
作者：
Desmurget, Michel;Reilly, Karen T.;Sirigu, Angela
通讯作者：
Sirigu, Angela
影响因子：
7.7
作者：
Chivukula S;Zhang CY;Aflalo T;Jafari M;Pejsa K;Pouratian N;Andersen RA
通讯作者：
Andersen RA
影响因子：
16.2
作者：
Fried, Itzhak;Mukamel, Roy;Kreiman, Gabriel
通讯作者：
Kreiman, Gabriel
影响因子：
64.8
作者：
Hochberg, Leigh R.;Serruya, Mijail D.;Donoghue, John P.
通讯作者：
Donoghue, John P.