CRCNS US-Spain Research Proposal: Serial dependence in working memory

CRCNS 美国-西班牙研究提案：工作记忆中的序列依赖性

• 批准号: 2127748
• 负责人: Christos Constantinidis
• 金额: $ 67.07万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2127748&HistoricalAwards=false
• 关键词: CRCNS; US; Spain; Research; Proposal

Working memory, the ability to retain and manipulate information over a period of seconds, represents a core component of higher cognitive functions, including language, problem solving, reasoning, and abstract thought. Working memory capacity accounts for a great proportion of individual variability in academic performance, and it is impaired in clinical conditions including schizophrenia, stroke, traumatic brain injury, and ADHD. Understanding the neural basis of working memory has been a question in the forefront of scientific research over the past few years. This project relies on an “imperfection” of working memory, serial dependence: the contents of memory in a previous trial often affect what is being recalled in a following one, even though this is no longer useful. Serial dependences can provide insight into cellular mechanisms and neurotransmitter systems. Patients with genetic conditions such as schizophrenia, autism, and encephalitis exhibit different patterns of serial dependence. This project forms a collaborative experimental and theoretical approach to understand the role of different neurotransmitter systems and brain areas in serial dependence, which will reveal fundamental properties of the circuits that mediate working memory. Beyond the immediate goals of the experiments, understanding the neural basis of working memory and developing mechanistic models that capture its properties is expected to have broader impacts on a number of scientific fields, including neuroscience, psychology, cognitive science, computer science, and machine learning. The combined experimental-modeling approach has also direct relevance to understanding and treating these clinical conditions. The approach opens new avenues of model-guided research in neuropsychiatric conditions and enhances the reach of computational psychiatry.Working memory has been linked to the prefrontal cortex, an area central to cognitive processing, with unique anatomical and cellular organization. NMDA receptors, which are abundant in the prefrontal cortex, are suspected to play a critical role for the maintenance of information in working memory, by virtue of their ability to maintain neurons at an excited state for an extended period of time, and to induce plasticity of synaptic connections. Direct evidence linking their cellular role to working memory behavior has been scant, however. This project will address the circuit mechanisms by which NMDA receptors support working memory function. We will rely on a novel approach, by investigating the mechanisms of history biases, as a manifestation of long-lasting NMDAR-dependent mechanisms in working memory. Serial dependencies are systematically affected in patients with schizophrenia and anti-NMDAR encephalitis, suggesting an underlying NMDAR-dependent mechanism. Experiments will train non-human primates to perform spatial working memory tasks; obtain single neuron neurophysiological recordings and local field potentials from dorsolateral prefrontal and posterior parietal cortex; administer NMDAR antagonists systemically; and use optogenetic cortical stimulation to test behavioral and physiological predictions of a computational model of serial biases. Analysis of neural data and computational modeling will integrate the results of the experiments in a fronto-parietal network model. This will shed light on the role of prefrontal NMDA receptors in shaping history-dependent biases, and the importance of local-circuit (intrinsic) connections and long-range connections. Specifying subunit-specific NMDAR mechanisms, and the role of the fronto-parietal network, will inform a new computational framework with biophysical detail and enhanced predictive power for subsequent experimentation. The project is expected to advance understanding of cognitive processes and the neural networks mediating them. A companion project is being funded by the National Institute of Health Carlos III, Spain (ISCIII).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

工作记忆是在几秒钟内保留和操纵信息的能力，代表了高级认知功能的核心组成部分，包括语言、解决问题、推理和抽象思维能力，工作记忆能力在学术上的个体差异中占很大比例。工作记忆的神经基础在过去几年一直是科学研究的前沿问题。工作记忆的“缺陷”，系列依赖性：前一次试验中的记忆内容通常会影响下一次试验中的记忆内容，尽管连续依赖性可以帮助了解患有精神分裂症、自闭症等遗传性疾病的患者的细胞机制和神经递质系统。和脑炎表现出不同的串行依赖性模式，该项目形成了一种协作实验和理论方法，以了解不同神经递质系统和大脑区域在串行依赖性中的作用，这将揭示介导工作的回路的基本特性。除了实验的直接目标之外，了解工作记忆的神经基础并开发捕捉其特性的机制模型预计将对许多科学领域产生更广泛的影响，包括神经科学、心理学、认知科学、计算机科学和计算机科学。结合的实验建模方法也与理解和治疗这些临床病症直接相关，该方法开辟了神经精神疾病的模型引导研究的新途径，并扩大了计算精神病学的范围。工作记忆与前额叶相关。大脑皮层是认知处理的核心区域，具有独特的解剖学和细胞组织，在前额叶皮层中含量丰富，由于其维持工作记忆信息的能力，被怀疑在维持工作记忆中发挥着关键作用。然而，该项目将解决 NMDA 受体支持工作记忆的回路机制。我们的功能。将依赖于一种新的方法，通过研究历史偏差的机制，作为工作记忆中长期 NMDAR 依赖机制的表现，精神分裂症和抗 NMDAR 脑炎患者会受到系统性影响，这表明潜在的 NMDAR- 。实验将训练非人类灵长类动物执行空间工作记忆任务；从背外侧前额叶和后顶叶皮层获得单个神经元的神经生理记录和局部场电位；系统地使用 NMDAR 拮抗剂；并使用光遗传学皮质刺激来测试串行偏差计算模型的行为和生理预测，这将有助于将实验结果整合到额顶叶网络模型中。前额叶 NMDA 受体在形成历史依赖性偏差中的作用，以及局部回路（内在）连接和远程连接的重要性，以及指定亚基特异性 NMDAR 机制，以及前额叶 NMDA 受体的作用。额顶网络将为后续实验提供具有生物物理细节和增强预测能力的新计算框架，该项目预计将促进对认知过程和介导认知过程的神经网络的理解。西班牙卡洛斯三世健康中心 (ISCIII)。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。