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在喉 dystonia 中的结构和功能性大脑变化:基于坐标的激活概率估计元分析

Nyah Kshatriya^1,2, Giovanni Battistella¹, Kristina Simonyan^1,2,3

¹Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts, USA.

Human brain mapping

|September 21, 2024

概括

喉 dystonia (LD) 涉及到影响言语的. 这次元分析揭示了运动皮层,胰岛和条纹体中持续存在的大脑异常,支持LD作为神经网络障碍.

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:

喉 dystonia (LD) 是一种影响言语的焦点 dystonia.
之前的神经成像研究显示了多样化的结果,阻碍了临床应用.
了解LD中一致的神经变化对于开发向疗法至关重要.

研究的目的:

系统地识别和元分析喉 dystonia 中的结构和功能性大脑异常.
巩固神经成像发现,以更清楚地了解LD的神经基础.
为了提供证据,为未来的治疗目标在喉 dystonia.

主要方法:

系统地在文献中搜索LD患者与对照患者异常的立体坐标.
基于坐标的激活概率估计 (ALE) 的元分析.
包括21项功能和结构神经成像研究 (521名LD患者,448名对照).

主要成果:

分析发现了双边初级运动皮层的显著异常.
此外,在左下顶叶叶,左条体,右岛叶和补充运动区域也发现了异常.
这些发现凸显了LD中分布式神经网络功能障碍.

结论:

喉 dystonia 是由广泛的神经网络异常的特征.
确定的大脑区域作为未来研究和治疗干预的关键目标.
这一元分析强化了对 dystonia 作为神经网络障碍的看法.

关键词:

这是一个EEGEEGEEGEEGEEGEEGEEG.在MEGEG中,MEG是MEG.这就是为什么MRI是MRI.在这里,PET是PET.喉 dystonia 这是一种喉 dystonia.这是一个元分析.神经成像是一种神经成像.

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