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人类顶叶脑回:体积、空间范围、自动标记和概率图谱。

Gyri of the human parietal lobe: Volumes, spatial extents, automatic labelling, and probabilistic atlases.

作者信息

Wild Heather M, Heckemann Rolf A, Studholme Colin, Hammers Alexander

机构信息

Neurodis Foundation, Lyon, France.

Univ Lyon, Université Claude Bernard Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, Bron, France.

出版信息

PLoS One. 2017 Aug 28;12(8):e0180866. doi: 10.1371/journal.pone.0180866. eCollection 2017.

Abstract

Accurately describing the anatomy of individual brains enables interlaboratory communication of functional and developmental studies and is crucial for possible surgical interventions. The human parietal lobe participates in multimodal sensory integration including language processing and also contains the primary somatosensory area. We describe detailed protocols to subdivide the parietal lobe, analyze morphological and volumetric characteristics, and create probabilistic atlases in MNI152 stereotaxic space. The parietal lobe was manually delineated on 3D T1 MR images of 30 healthy subjects and divided into four regions: supramarginal gyrus (SMG), angular gyrus (AG), superior parietal lobe (supPL) and postcentral gyrus (postCG). There was the expected correlation of male gender with larger brain and intracranial volume. We examined a wide range of anatomical features of the gyri and the sulci separating them. At least a rudimentary primary intermediate sulcus of Jensen (PISJ) separating SMG and AG was identified in nearly all (59/60) hemispheres. Presence of additional gyri in SMG and AG was related to sulcal features and volumetric characteristics. The parietal lobe was slightly (2%) larger on the left, driven by leftward asymmetries of the postCG and SMG. Intersubject variability was highest for SMG and AG, and lowest for postCG. Overall the morphological characteristics tended to be symmetrical, and volumes also tended to covary between hemispheres. This may reflect developmental as well as maturation factors. To assess the accuracy with which the labels can be used to segment newly acquired (unlabelled) T1-weighted brain images, we applied multi-atlas label propagation software (MAPER) in a leave-one-out experiment and compared the resulting automatic labels with the manually prepared ones. The results showed strong agreement (mean Jaccard index 0.69, corresponding to a mean Dice index of 0.82, average mean volume error of 0.6%). Stereotaxic probabilistic atlases of each subregion were obtained. They illustrate the physiological brain torque, with structures in the right hemisphere positioned more anteriorly than in the left, and right/left positional differences of up to 10 mm. They also allow an assessment of sulcal variability, e.g. low variability for parietooccipital fissure and cingulate sulcus. Illustrated protocols, individual label sets, probabilistic atlases, and a maximum-probability atlas which takes into account surrounding structures are available for free download under academic licences.

摘要

准确描述个体大脑的解剖结构有助于实验室间进行功能和发育研究的交流,对于可能的手术干预也至关重要。人类顶叶参与多模态感觉整合,包括语言处理,还包含初级躯体感觉区。我们描述了详细的方案,用于细分顶叶、分析形态和体积特征,并在MNI152立体定向空间中创建概率图谱。在30名健康受试者的3D T1磁共振图像上手动勾勒出顶叶,并将其分为四个区域:缘上回(SMG)、角回(AG)、顶上叶(supPL)和中央后回(postCG)。男性的大脑和颅内体积较大,这与预期相符。我们研究了脑回及其间沟的多种解剖特征。几乎在所有(59/60)半球中都识别出了至少一条分隔SMG和AG的詹森初级中间沟(PISJ)雏形。SMG和AG中额外脑回的存在与沟的特征和体积特征有关。由于postCG和SMG的左侧不对称,顶叶在左侧略大(2%)。受试者间变异性在SMG和AG中最高,在postCG中最低。总体而言,形态特征趋于对称,半球间的体积也趋于协同变化。这可能反映了发育以及成熟因素。为了评估这些标签用于分割新获取的(未标记的)T1加权脑图像的准确性,我们在留一法实验中应用了多图谱标签传播软件(MAPER),并将得到的自动标签与手动标注的标签进行比较。结果显示一致性很强(平均杰卡德指数为0.69,对应平均骰子指数为0.82,平均体积误差为0.6%)。获得了每个子区域的立体定向概率图谱。它们展示了生理性脑扭矩,右半球的结构比左半球的结构位置更靠前,左右位置差异可达10毫米。它们还允许评估沟的变异性,例如顶枕沟和扣带沟的变异性较低。根据学术许可,可免费下载图示方案、个体标签集、概率图谱以及考虑周围结构的最大概率图谱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7b4/5573296/b839a251644c/pone.0180866.g001.jpg

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