使用数据驱动、包裹引导的经颅磁刺激治疗脑肿瘤手术的预适应和康复:概念证明病例报告

N. Dadario, I. Young, Xia Zhang, C. Teo, S. Doyen, M. Sughrue
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引用次数: 2

摘要

对脑连接组神经可塑性潜能的进一步了解促进了脑肿瘤患者特别是围手术期神经调节治疗的进展。最近,在低级别胶质瘤中,手术前诱导神经可塑性改变作为“预适应”的想法已被提出,并有良好的数据。然而,这种经颅磁刺激(TMS)治疗对高级别胶质瘤患者的益处程度尚不确定,特别是手术后的额外康复和个性化连接组数据定义的靶点。目前的报告详细介绍了一例患者复发胶质母细胞瘤在右侧运动区2年后,以前的全部切除。考虑到希望在高功能区域进行更积极的复发性手术,作者决定在复发手术前通过刺激病变周围的运动皮质来降低运动皮质的连通性,然后在手术后完成“康复”,从而进行“预康复”。结构-功能连接组分析使用Infinitome软件完成,该软件基于个性化患者脑图谱,使用基于机器学习的分组。采用重复经颅磁刺激,特别是使用连续和间歇的θ波脉冲刺激方案。预康复包括在估计的手术切入点区域使用连续的脉冲刺激,在相邻的区域使用间歇的脉冲刺激,总共10天,每个目标每天5次,直到手术。我们接受了大体全切除手术,但患者醒来时出现左侧偏瘫。静息状态功能磁共振成像衍生的连通性显示了一个主要纯粹的扣带运动切除导致偏瘫的病例,皮质脊髓束和辅助运动区完好无损。识别扣带-运动包的功能连接异常值,并与健康对照图谱的连接矩阵进行比较。异常,被定义为功能明显超出正常范围的包裹,被选为康复TMS目标,在手术后大约两周内,每个目标每天5次,总共10天进行类似的治疗。通过在超连接包上使用连续的θ波爆发刺激和在低连接包上使用间歇的θ波爆发刺激,患者在手术后1个月的左臂只有4+/5的力量,表现出明显的运动改善。本报告首次证明了在“雄辩”皮层附近的胶质母细胞瘤手术中使用经颅磁刺激治疗作为术前康复和术后康复的一种手段的可行性。这种基于皮质进入部位和个体化连通性分析的包引导TMS治疗方法允许最大限度地切除肿瘤和最小的长期神经功能缺损。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prehabilitation and rehabilitation using data-driven, parcel-guided transcranial magnetic stimulation treatment for brain tumor surgery: proof of concept case report
Improved knowledge of the neuroplastic potential of the brain connectome has facilitated the advancement of neuromodulatory treatments for brain tumor patients especially in the perioperative period. More recently, the idea of inducing neuroplastic changes before surgery as “prehabilitation” has been suggested in low-grade gliomas with favorable data. However, it is uncertain the degree to which this treatment with transcranial magnetic stimulation (TMS) would benefit patients with high-grade gliomas, especially with additional rehabilitation after surgery and targets defined by personalized connectomic data. The current report details a case of a patient with recurrent glioblastoma in the right motor area 2 years after previous total resection. Given the desire for a more aggressive recurrent surgery in a highly functional area, the authors decided to proceed with “prehabilitation” by stimulating the surrounding motor cortices around the lesion to turn down the motor cortex connectivity before the recurrent surgery and then completing “rehabilitation” after the surgery. Structural-functional connectomic analyses were completed using Infinitome software based on an individualized patient brain atlas using machine-learning based parcellations. Repetitive TMS was employed, specifically using continuous and intermittent theta burst stimulation protocols. Prehabilitation consisted of using continuous theta burst stimulation at the estimated surgical entry point parcel and intermittent theta burst stimulation at adjacent parcellations for a total of 10 days with 5 sessions per day per target leading up until the surgery. A gross-total resection was obtained, but the patient woke up with left-sided hemiparesis. Resting-state functional magnetic resonance imaging derived connectivity demonstrated a case of a primarily pure cingulate-motor resection causing hemiplegia with an intact corticospinal tract and supplementary motor area. Functional connectivity outliers in cingulate-motor parcels were identified and compared with connectivity matrices from a healthy control atlas. Anomalies, parcels defined as functioning significantly outside a normal range, were chosen as rehabilitation TMS targets to be similarly treated for a total of 10 days with 5 sessions per day per target approximately two weeks after surgery. By using continuous theta burst stimulation on hyperconnected parcels and intermittent theta burst stimulation on hypoconnected parcels, the patient demonstrated significant motor improvement with only 4+/5 strength in the left arm 1 month after surgery. This report demonstrates for the first time the feasibility of using TMS treatment for glioblastoma surgery near “eloquent” cortices as a means of prehabilitation before surgery and rehabilitation after surgery. This parcel-guided approach for TMS treatment based on the cortical site of entry and individualized connectivity analyses allowed for maximal tumor resection and minimal long-term neurologic deficits.
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