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婴儿神经影像学研究中的(非)常见空间:婴儿模板的系统评价。

(Un)common space in infant neuroimaging studies: A systematic review of infant templates.

机构信息

Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.

Department of Psychology, Quinnipiac University, Hamden, Connecticut, USA.

出版信息

Hum Brain Mapp. 2022 Jun 15;43(9):3007-3016. doi: 10.1002/hbm.25816. Epub 2022 Mar 9.

Abstract

In neuroimaging, spatial normalization is an important step that maps an individual's brain onto a template brain permitting downstream statistical analyses. Yet, in infant neuroimaging, there remain several technical challenges that have prevented the establishment of a standardized template for spatial normalization. Thus, many different approaches are used in the literature. To quantify the popularity and variability of these approaches in infant neuroimaging studies, we performed a systematic review of infant magnetic resonance imaging (MRI) studies from 2000 to 2020. Here, we present results from 834 studies meeting inclusion criteria. Studies were classified into (a) processing data in single subject space, (b) using an off the shelf, or "off the shelf," template, (c) creating a study specific template, or (d) using a hybrid of these methods. We found that across the studies in the systematic review, single subject space was the most used (no common space). This was the most used common space for diffusion-weighted imaging and structural MRI studies while functional MRI studies preferred off the shelf atlases. We found a pattern such that more recently published studies are more commonly using off the shelf atlases. When considering special populations, preterm studies most used single subject space while, when no special populations were being analyzed, an off the shelf template was most common. The most used off the shelf templates were the UNC Infant Atlases (24%). Using a systematic review of infant neuroimaging studies, we highlight a lack of an established "standard" template brain in these studies.

摘要

在神经影像学中,空间标准化是将个体大脑映射到模板大脑上的重要步骤,这允许进行下游的统计分析。然而,在婴儿神经影像学中,仍然存在一些技术挑战,这些挑战阻止了为空间标准化建立标准化模板。因此,文献中使用了许多不同的方法。为了量化这些方法在婴儿神经影像学研究中的流行程度和可变性,我们对 2000 年至 2020 年的婴儿磁共振成像(MRI)研究进行了系统评价。在这里,我们呈现了符合纳入标准的 834 项研究的结果。这些研究被分为以下几类:(a) 在单个体空间中处理数据,(b) 使用现成的模板,(c) 创建特定于研究的模板,或 (d) 使用这些方法的混合。我们发现,在系统评价中的研究中,单个体空间的使用最为广泛(没有通用空间)。这是扩散加权成像和结构 MRI 研究中使用最广泛的通用空间,而功能 MRI 研究则更喜欢现成的图谱。我们发现了一种模式,即最近发表的研究更经常使用现成的图谱。在考虑特殊人群时,早产儿研究最常使用单个体空间,而在没有分析特殊人群时,最常使用现成的模板。使用最广泛的现成模板是 UNC 婴儿图谱(24%)。通过对婴儿神经影像学研究的系统评价,我们强调了这些研究中缺乏既定的“标准”模板大脑。

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