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电脑学衍生连接性告知的手术规划:向临床应用和未来的前景

Giulia Salvatici¹, Giovanni Pellegrino², Marco Perulli³

¹Scientific Institute IRCCS E.Medea, Epilepsy and Clinical Neurophysiology Unit, Conegliano 31015, Italy.

NeuroImage. Clinical

|November 15, 2024

概括

对脑电图 (EEG) 数据的功能连接 (FC) 分析改善了手术中的焦点定位. 本综述讨论了挑战,并提出了将FC研究转化为临床实践的建议.

科学领域:

神经科学是一个神经科学.
神经学神经学
医疗成像医学成像

背景情况:

影响全球5000万人,其中30%的人患有耐药性 (DRE).
脑外科手术为DRE患者提供治疗效益,需要精确的焦点定位.
是一种网络疾病,使得功能组织分析对外科评估至关重要.

研究的目的:

审查利用脑电图 (EEG) 衍生功能连接 (FC) 进行手术规划的研究.
评估FC在改善发性网络定位精度方面的有效性.
讨论FC方法临床转化障碍,并提出实际解决方案.

主要方法:

审查使用EEG衍生功能连接 (FC) 分析的研究.
电源成像 (ESI) 用于从EEG重建皮质电活动.
功能连接 (FC) 分析,以评估大脑区域之间的依赖关系.

主要成果:

以FC为基础的网络识别可以提高焦点的定位精度.
方法和结果的异质性目前阻碍了直接的研究到临床的翻译.
在手术规划中,EEG衍生FC对表征发性网络具有前途.

结论:

来自EEG的FC分析是改善患者手术候选人选择和规划的宝贵工具.
需要标准化方法和进一步的研究来克服翻译障碍.
提供了实际建议,以促进基于FC的研究的临床适用性.

关键词:

大脑动态大脑动态药物耐药性的治疗方法这是一个EEGEEGEEGEEGEEGEEGEEG.的手术手术,的手术.功能连接性的功能连接性.

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