Nayef Al-Rodhan Laboratories, Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114.
Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts 02129.
J Neurosci. 2018 Feb 21;38(8):1942-1958. doi: 10.1523/JNEUROSCI.2021-17.2017. Epub 2018 Jan 18.
Associative learning is crucial for daily function, involving a complex network of brain regions. One region, the nucleus basalis of Meynert (NBM), is a highly interconnected, largely cholinergic structure implicated in multiple aspects of learning. We show that single neurons in the NBM of nonhuman primates (NHPs; = 2 males; ) encode learning a new association through spike rate modulation. However, the power of low-frequency local field potential (LFP) oscillations decreases in response to novel, not-yet-learned stimuli but then increase as learning progresses. Both NBM and the dorsolateral prefrontal cortex encode confidence in novel associations by increasing low- and high-frequency LFP power in anticipation of expected rewards. Finally, NBM high-frequency power dynamics are anticorrelated with spike rate modulations. Therefore, novelty, learning, and reward anticipation are separately encoded through differentiable NBM signals. By signaling both the need to learn and confidence in newly acquired associations, NBM may play a key role in coordinating cortical activity throughout the learning process. Degradation of cells in a key brain region, the nucleus basalis of Meynert (NBM), correlates with Alzheimer's disease and Parkinson's disease progression. To better understand the role of this brain structure in learning and memory, we examined neural activity in the NBM in behaving nonhuman primates while they performed a learning and memory task. We found that single neurons in NBM encoded both salience and an early learning, or cognitive state, whereas populations of neurons in the NBM and prefrontal cortex encode learned state and reward anticipation. The NBM may thus encode multiple stages of learning. These multimodal signals might be leveraged in future studies to develop neural stimulation to facilitate different stages of learning and memory.
关联学习对于日常功能至关重要,涉及大脑区域的复杂网络。一个区域,即梅内尔特基底核(NBM),是一个高度互联的、主要胆碱能结构,涉及学习的多个方面。我们表明,非人灵长类动物(NHPs;= 2 只雄性;)NBM 中的单个神经元通过尖峰率调制来编码学习新的关联。然而,低频局部场电位(LFP)振荡的功率响应新的、尚未学习的刺激而降低,但随着学习的进展而增加。NBM 和背外侧前额叶皮层都通过增加低频和高频 LFP 功率来编码对新关联的信心,以预测预期的奖励。最后,NBM 高频功率动态与尖峰率调制呈反相关。因此,新颖性、学习和奖励预期通过可区分的 NBM 信号分别进行编码。通过信号传递学习的需求和对新获得的关联的信心,NBM 可能在协调学习过程中的皮质活动中发挥关键作用。关键脑区,即梅内尔特基底核(NBM)中的细胞退化与阿尔茨海默病和帕金森病的进展相关。为了更好地了解这个大脑结构在学习和记忆中的作用,我们在行为非人类灵长类动物执行学习和记忆任务时检查了 NBM 中的神经活动。我们发现,NBM 中的单个神经元既编码了显着性,也编码了早期学习或认知状态,而 NBM 和前额叶皮层中的神经元群体则编码了学习状态和奖励预期。NBM 可能因此编码了学习的多个阶段。这些多模态信号可能在未来的研究中被利用,以开发神经刺激来促进不同阶段的学习和记忆。