Clinical Impact and Implication of Real-Time Oscillation Analysis for Language Mapping

Clinical Impact and Implication of Real-Time Oscillation Analysis for Language Mapping
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语言映射实时振荡分析的临床影响和意义

DOI:
10.1016/j.wneu.2016.09.071
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发表时间:
2017
期刊:
影响因子:
2
通讯作者:
Guger C
Guger C
中科院分区:
医学4区
文献类型:
--
作者:
Ogawa H;Kamada K;Kapeller C;Pruckle R;Takeuchi F;Hiroshima S;Anei R;Guger C

文献摘要

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背景我们开发了一个功能性脑分析系统,使我们能够进行实时任务相关的皮层电图(ECoG),并评估其在临床实践中的潜力。我们假设,高伽玛活动(HGA)映射将提供更好的空间和时间分辨率与高的信号-噪声ratio.MethodsSeven清醒开颅手术患者进行了评估。使用硬膜下网格记录语言任务期间的ECoG,并获得真实的HGA(60-170 Hz)图。患者还接受了皮层电刺激(ECS)标测,以验证HGA标测上的可疑功能位置。比较和计算结果,以评估HGA定位的敏感性和特异性。作为参考,床旁HGA-ECS映射在5例epilepsy patients.ResultsHGA映射显示功能脑区在真实的时间,并与ECS映射。语言区的敏感性和特异性分别为90.1% ± 11.2%和90.0% ± 4.2%。大多数HGA阳性领域是一致的ECS阳性区域,在这两个groups.ConclusionsAlthough本研究包括少量的主题,它显示了实时HGA映射相同的设置和任务,在不同的条件下。本研究证明了实时HGA标测的临床可行性。实时HGA映射使清醒开颅手术中语言功能区的检测变得简单而快速。尽管标测环境嘈杂,但标测结果非常准确。对HGA定位的进一步研究可能会为复杂的大脑功能和网络提供可能。
BackgroundWe developed a functional brain analysis system that enabled us to perform real-time task-related electrocorticography (ECoG) and evaluated its potential in clinical practice. We hypothesized that high gamma activity (HGA) mapping would provide better spatial and temporal resolution with high signal-to-noise ratios.MethodsSeven awake craniotomy patients were evaluated. ECoG was recorded during language tasks using subdural grids, and HGA (60–170 Hz) maps were obtained in real time. The patients also underwent electrocortical stimulation (ECS) mapping to validate the suspected functional locations on HGA mapping. The results were compared and calculated to assess the sensitivity and specificity of HGA mapping. For reference, bedside HGA–ECS mapping was performed in 5 epilepsy patients.ResultsHGA mapping demonstrated functional brain areas in real time and was comparable with ECS mapping. Sensitivity and specificity for the language area were 90.1% ± 11.2% and 90.0% ± 4.2%, respectively. Most HGA-positive areas were consistent with ECS-positive regions in both groups, and there were no statistical between-group differences.ConclusionsAlthough this study included a small number of subjects, it showed real-time HGA mapping with the same setting and tasks under different conditions. This study demonstrates the clinical feasibility of real-time HGA mapping. Real-time HGA mapping enabled simple and rapid detection of language functional areas in awake craniotomy. The mapping results were highly accurate, although the mapping environment was noisy. Further studies of HGA mapping may provide the potential to elaborate complex brain functions and networks.