Using deep brain stimulation of the parietal cortex to investigate the electrophysiology of human episodic memory

项目摘要 我们的建议旨在建立在我们实验室研究人类电生理学的成功基础上 通过新的实验来阐明记忆中的海马体-顶叶相互作用 正在处理。这一方案的关键创新是将直接脑刺激应用于 内侧顶叶皮质和关联识别范式对颅内数据的适应。 我们将利用我们的大容量癫痫手术中心专门从事立体脑电 电极植入。在我们的第一个目标中，我们将比较大脑的电生理模式 激活不同于自由回忆(构成大量的颅内记忆数据)和 联想识别，特别是考察了前与后两者的theta振荡特性 后部海马区。在第二个目标中，我们将对内侧顶叶进行脑深部刺激。 在记忆编码和提取过程中，观察记忆表现和提取的差异 海马区的振荡活动将为假说提供该区域如何支持发作的信息 记忆。在目标3中，我们将使用机器学习分类器来理解中顶叶是如何 刺激通过影响响应性脑振荡活动来影响记忆表现 刺激范式。这些实验将利用我们实验室获得的知识和基础设施 通过参与DARPA恢复活动内存项目。虽然我们的建议是高度 创新，我们的中心成功地招募了大量的立体脑电患者 记忆研究、数据收集和高级分析技术的应用为我们提供了 我们有信心收集高质量的数据，填补在理解 人类的记忆。

Project Summary Our proposal seeks to build upon the success of our lab investigating the electrophysiology of human memory through novel experiments that will elucidate hippocampal—parietal interactions in memory processing. The key innovations of this proposal are the application of direct brain stimulation to the mesial parietal cortex and the adaptation of an associative recognition paradigm to intracranial data. We will take advantage of our high-volume epilepsy surgical center specializing in stereo EEG electrode implantation. In our first aim, we will compare how electrophysiological patterns of brain activation differ between free recall (which comprises the bulk of intracranial memory data) and associative recognition, specifically examining properties of theta oscillations in the anterior versus posterior hippocampus. In the second aim, we will apply deep brain stimulation to the mesial parietal cortex during memory encoding and retrieval, observing differences in memory performance and hippocampal oscillatory activity that will inform hypotheses of how this area supports episodic memory. In Aim 3, we will use machine learning classifiers to understand how mesial parietal stimulation affects memory performance via its impact on brain oscillatory activity in a responsive stimulation paradigm. These experiments will utilize our lab’s knowledge and infrastructure gained through participation in the DARPA Restoring Active Memory project. While our proposal is highly innovative, our center’s proven success in recruiting a large volume of stereo EEG patients for memory research, data collection, and the application of advanced analytic techniques give us confidence that we will collect high quality data addressing the critical gaps in the understanding of human memory.