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成功研究人类电生理学的基础上， 通过新的实验，将阐明大脑顶叶在记忆中的相互作用， 处理.该提案的关键创新是将直接脑刺激应用于 内侧顶叶皮层和颅内数据的关联识别范例的适应。 我们将利用我们的高容量癫痫外科中心专门从事立体脑电图 电极植入在我们的第一个目标，我们将比较如何电生理模式的大脑 自由回忆（包括大部分颅内记忆数据）和 联想识别，特别是检查在前部与前部的θ振荡的特性， 后海马在第二个目标中，我们将对顶骨内侧进行深部脑刺激， 大脑皮层在记忆编码和检索过程中，观察记忆表现的差异， 海马振荡活动，将告知假说，该地区如何支持情节 记忆在目标3中，我们将使用机器学习分类器来了解顶叶内侧 刺激通过其对反应性脑振荡活动的影响来影响记忆性能。 激励范式这些实验将利用我们实验室的知识和基础设施获得 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，我们的中心的成功招募了大量的立体脑电图患者， 记忆研究、数据收集和先进分析技术的应用为我们提供了 相信我们将收集高质量的数据，解决在理解 人类记忆

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.