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人类脑岛的大体解剖学与三维概率图谱。

Macroanatomy and 3D probabilistic atlas of the human insula.

作者信息

Faillenot Isabelle, Heckemann Rolf A, Frot Maud, Hammers Alexander

机构信息

Neurology Department - Hôpital Nord, 42055 Saint-Etienne, France; Central Integration of Pain Unit - Lyon Center for Neuroscience (CRNL), INSERM1028, 69675 Lyon, France.

Neurodis Foundation, 69675 Lyon, France; MedTech West at Sahlgrenska University Hospital, University of Gothenburg, Sweden; Division of Brain Science, Imperial College London, UK.

出版信息

Neuroimage. 2017 Apr 15;150:88-98. doi: 10.1016/j.neuroimage.2017.01.073. Epub 2017 Feb 4.

Abstract

The human insula is implicated in numerous functions. More and more neuroimaging studies focus on this region, however no atlas offers a complete subdivision of the insula in a reference space. The aims of this study were to define a protocol to subdivide insula, to create probability maps in the MNI152 stereotaxic space, and to provide normative reference volume measurements for these subdivisions. Six regions were manually delineated bilaterally on 3D T1 MR images of 30 healthy subjects: the three short gyri, the anterior inferior cortex, and the two long gyri. The volume of the insular grey matter was 7.7 ± 0.9cm in native space and 9.9 ± 0.6cm in MNI152 space. These volumes expressed as a percentage of the ipsilateral grey matter volume were minimally larger in women (2.7±0.2%) than in men (2.6±0.2%). After spatial normalization, a stereotactic probabilistic atlas of each subregion was produced, as well as a maximum-probability atlas taking into account surrounding structures. Automatically labelling insular subregions via a multi-atlas propagation and label fusion strategy (MAPER) in a leave-one-out experiment showed high spatial overlaps of such automatically defined insular subregions with the manually derived ones (mean Jaccard index 0.65, corresponding to a mean Dice index of 0.79), with an average mean volume error of 2.6%. Probabilistic and maximum probability atlases and the original delineations are available on the web under free academic licences.

摘要

人类脑岛涉及多种功能。越来越多的神经影像学研究聚焦于该区域,然而尚无图谱能在参考空间中对脑岛进行完整细分。本研究的目的是确定一种细分脑岛的方案,在MNI152立体定向空间中创建概率图谱,并为这些细分区域提供标准化的参考体积测量值。在30名健康受试者的3D T1磁共振图像上双侧手动勾勒出六个区域:三个短回、前下皮质和两个长回。脑岛灰质在原始空间中的体积为7.7±0.9立方厘米,在MNI152空间中的体积为9.9±0.6立方厘米。这些体积占同侧灰质体积的百分比,女性(2.7±0.2%)略高于男性(2.6±0.2%)。空间归一化后,生成了每个子区域的立体定向概率图谱以及考虑周围结构的最大概率图谱。在留一法实验中,通过多图谱传播和标签融合策略(MAPER)自动标记脑岛子区域,结果显示这些自动定义的脑岛子区域与手动得出的区域具有高度的空间重叠(平均杰卡德指数为0.65,对应平均骰子指数为0.79),平均体积误差为2.6%。概率图谱和最大概率图谱以及原始勾勒图可在网上免费获取学术许可。

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