Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, United States of America.
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
J Neural Eng. 2022 Jul 26;19(4). doi: 10.1088/1741-2552/ac7dfd.
. Accurate identification of functional cortical regions is essential in neurological resection. The central sulcus (CS) is an important landmark that delineates functional cortical regions. Median nerve stimulation (MNS) is a standard procedure to identify the position of the CS intraoperatively. In this paper, we introduce an automated procedure that uses MNS to rapidly localize the CS and create functional somatotopic maps.. We recorded electrocorticographic signals from 13 patients who underwent MNS in the course of an awake craniotomy. We analyzed these signals to develop an automated procedure that determines the location of the CS and that also produces functional somatotopic maps.. The comparison between our automated method and visual inspection performed by the neurosurgeon shows that our procedure has a high sensitivity (89%) in identifying the CS. Further, we found substantial concordance between the functional somatotopic maps generated by our method and passive functional mapping (92% sensitivity).. Our automated MNS-based method can rapidly localize the CS and create functional somatotopic maps without imposing additional burden on the clinical procedure. With additional development and validation, our method may lead to a diagnostic tool that guides neurosurgeons and reduces postoperative morbidity in patients undergoing resective brain surgery.
准确识别功能皮质区在神经外科切除术中至关重要。中央沟(CS)是一个重要的地标,用于描绘功能皮质区。正中神经刺激(MNS)是术中识别 CS 位置的标准程序。在本文中,我们介绍了一种使用 MNS 快速定位 CS 并创建功能躯体映射图的自动化程序。我们记录了 13 名在清醒开颅术中接受 MNS 的患者的皮质电图信号。我们分析了这些信号,开发了一种自动化程序,确定 CS 的位置,并生成功能躯体映射图。我们的自动方法与神经外科医生进行的视觉检查之间的比较表明,我们的程序在识别 CS 方面具有很高的灵敏度(89%)。此外,我们发现我们的方法生成的功能躯体映射图与被动功能映射之间存在很大的一致性(92%的灵敏度)。我们的基于自动 MNS 的方法可以快速定位 CS 并创建功能躯体映射图,而不会给临床程序增加额外的负担。随着进一步的开发和验证,我们的方法可能会成为一种诊断工具,指导神经外科医生,并降低接受切除术的脑外科患者的术后发病率。