基于voxel和基于表面的皮质形态核磁共振 (MRI) 应用用于识别发性区域:叙述性综述
Jacob Bunyamin1, Benjamin Sinclair1,2, Meng Law1,3,4
1Department of Neuroscience, The School of Translational Research, Monash University, Melbourne, Victoria, Australia.
先进的MRI技术可以帮助定位抗药性发作的发作区域,即使初始扫描是正常的 (MRI阴性). 使用电生理学的进一步分析可能会提高这些具有挑战性的病例的诊断准确性.
科学领域:
- 神经成像是一种神经成像.
- 手术 手术 手术
- 医学图像分析 医学图像分析
背景情况:
- 大约40%的患者被评估为手术是MRI阴性,影响了自由预后.
- 核磁共振阴性需要先进的方法来识别发性区域.
研究的目的:
- 审查基于voxel和表面的皮质形态核磁共振技术来检测发性区域.
- 评估这些技术在MRI阴性的一致率和挑战.
主要方法:
- 审查基于voxel和基于表面的皮质形态学原理和进展.
- 分析与基于病变和基于病原性基底真相的一致率.
- 评估由于头皮脑电图和定性分析造成的限制.
主要成果:
- 基于voxel的技术显示13% - 97%与基于损伤的基本真相相一致;基于表面的技术显示67% - 92%.
- 基于性基因的基底真相对应率较低 (基于voxel:7.1%-66.7%;基于表面:62%).
- 目前的方法面临着灵敏度的局限性,并依赖于头皮EEG.
结论:
- 皮质形态核磁共振技术显示出希望,但在核磁共振阴性中存在局限性.
- 整合立体电脑电图和定量电脑电图分析可以改善与发性生物标志物的相关性.
- 先进的电生理学分析对于将结构后处理工具转化为临床实践至关重要.
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