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和手术的开放扩散磁共振成像和连接数据:IDEAS II发布

Peter N Taylor^1,2,3, Gerard Hall¹, Jonathan Horsley¹

¹Computational Neurololgy Neuroscience and Psychiatry (CNNP) Lab, Computational Medicine Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.

|March 7, 2026

概括

这项研究释放了患者的扩散加权成像数据,揭示了与发作发病区域相关的分数异构性广泛减少. 这个资源有助于研究.

科学领域:

神经科学是一个神经科学.
放射学放射学是一门学科.
医疗成像医学成像

背景情况:

发作源于复杂的大脑网络.
扩散权重磁共振成像 (DWI) 可以绘制这些网络的地图.
有限的公共DWI数据和处理挑战阻碍了研究.

研究的目的:

发布一个全面的数据集,包括来自患者的原始和处理的DWI数据.
为高级研究提供相关的临床和成像数据.
促进对的结构连接性和手术结果的研究.

主要方法:

收集了来自216名患者和98名健康对照者的原始DWI数据.
预处理数据以减少人工制成品和扭曲.
生成的扩散度地图,分片化结构连接体和连接性测量.

主要成果:

复制了ENIGMA联盟的发现,减少了分数异构性,特别是在发作区域附近.
通过简化流程图学证明了局部异常和网络连接.
强调了IDEAS II数据集对研究的有用性.

结论:

开放的IDEAS II数据集是研究中结构连接的宝贵资源.
这些数据可以促进对网络变化和外科手术结果的理解.
促进神经成像和的合作研究.

关键词:

连接ome 连接ome 连接ome 分享数据的数据共享.网络网络网络网络网络网络开放数据是开放的数据.手术手术手术手术手术手术手术

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