Ottawa Hospital Research Institute, 725 Parkdale Ave., Ottawa, ON, Canada.
Department of Neurologic Surgery, Mayo Clinic, 200 First St. Rochester, MN, 55902, United States of America.
Biomed Phys Eng Express. 2024 Sep 25;10(6). doi: 10.1088/2057-1976/ad795e.
. Advancements in data science and assistive technologies have made invasive brain-computer interfaces (iBCIs) increasingly viable for enhancing the quality of life in physically disabled individuals. Intracortical microelectrode implants are a common choice for such a communication system due to their fine temporal and spatial resolution. The small size of these implants makes the implantation plan critical for the successful exfiltration of information, particularly when targeting representations of task goals that lack robust anatomical correlates.. Working memory processes including encoding, retrieval, and maintenance are observed in many areas of the brain. Using human electrocorticography (ECoG) recordings during a working memory experiment, we provide proof that it is possible to localize cognitive activity associated with the task and to identify key locations involved with executive memory functions.From the analysis, we could propose an optimal iBCI implant location with the desired features. The general approach is not limited to working memory but could also be used to map other goal-encoding factors such as movement intentions, decision-making, and visual-spatial attention.. Deciphering the intended action of a BCI user is a complex challenge that involves the extraction and integration of cognitive factors such as movement planning, working memory, visual-spatial attention, and the decision state. Examining field potentials from ECoG electrodes while participants engaged in tailored cognitive tasks can pinpoint location with valuable information related to anticipated actions. This manuscript demonstrates the feasibility of identifying electrodes involved in cognitive activity related to working memory during user engagement in the NBack task. Devoting time in meticulous preparation to identify the optimal brain regions for BCI implant locations will increase the likelihood of rich signal outcomes, thereby improving the overall BCI user experience.
. 数据科学和辅助技术的进步使得侵入性脑机接口（iBCI）越来越可行，能够提高身体残疾个体的生活质量。由于具有精细的时间和空间分辨率，皮质内微电极植入物是此类通信系统的常见选择。这些植入物的体积小，使得植入计划对于成功提取信息至关重要，特别是当目标是缺乏稳健解剖学相关性的任务目标表示时。工作记忆过程包括编码、检索和维持，在大脑的许多区域都有观察到。在工作记忆实验中使用人类脑皮层电图（ECoG）记录，我们提供了证据表明，有可能定位与任务相关的认知活动，并确定与执行记忆功能相关的关键位置。通过分析，我们可以提出具有所需特征的最佳 iBCI 植入位置。该方法不仅限于工作记忆，还可以用于映射其他目标编码因素，如运动意图、决策和视觉空间注意力。. 破译 BCI 用户的意图是一项复杂的挑战，涉及到提取和整合认知因素，如运动规划、工作记忆、视觉空间注意力和决策状态。在参与者进行定制认知任务时，从 ECoG 电极中检查场电位可以精确定位与预期动作相关的有价值信息的位置。本文证明了在用户参与 NBack 任务期间，识别与工作记忆相关的认知活动中涉及的电极的可行性。在精心准备的过程中投入时间来识别用于 BCI 植入位置的最佳大脑区域，将增加获得丰富信号结果的可能性，从而提高整体 BCI 用户体验。
