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利用扩散张量纤维束成像和广义q采样磁共振成像对发育中的兔脑的新见解。

New insights into the developing rabbit brain using diffusion tensor tractography and generalized q-sampling MRI.

作者信息

Lim Seong Yong, Tyan Yeu-Sheng, Chao Yi-Ping, Nien Fang-Yu, Weng Jun-Cheng

机构信息

School of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan.

School of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan; Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan; School of Medicine, Chung Shan Medical University, Taichung, Taiwan.

出版信息

PLoS One. 2015 Mar 23;10(3):e0119932. doi: 10.1371/journal.pone.0119932. eCollection 2015.

Abstract

The use of modern neuroimaging methods to characterize the complex anatomy of brain development at different stages reveals an enormous wealth of information in understanding this highly ordered process and provides clues to detect neurological and neurobehavioral disorders that have their origin in early structural and functional cerebral maturation. Non-invasive diffusion tensor magnetic resonance imaging (DTI) is able to distinguish cerebral microscopic structures, especially in the white matter regions. However, DTI is unable to resolve the complicated neural structure, i.e., the fiber crossing that is frequently observed during the maturation process. To overcome this limitation, several methods have been proposed. One such method, generalized q-sampling imaging (GQI), can be applied to a variety of datasets, including the single shell, multi-shell or grid sampling schemes that are believed to be able to resolve the complicated crossing fibers. Rabbits have been widely used for neurodevelopment research because they exhibit human-like timing of perinatal brain white matter maturation. Here, we present a longitudinal study using both DTI and GQI to demonstrate the changes in cerebral maturation of in vivo developing rabbit brains over a period of 40 weeks. Fractional anisotropy (FA) of DTI and generalized fractional anisotropy (GFA) of GQI indices demonstrated that the white matter anisotropy increased with age, with GFA exhibiting an increase in the hippocampus as well. Normalized quantitative anisotropy (NQA) of GQI also revealed an increase in the hippocampus, allowing us to observe the changes in gray matter as well. Regional and whole brain DTI tractography also demonstrated refinement in fiber pathway architecture with maturation. We concluded that DTI and GQI results were able to characterize the white matter anisotropy changes, whereas GQI provided further information about the gray matter hippocampus area. This developing rabbit brain DTI and GQI database could also be used for educational purposes and neuroscience investigations.

摘要

利用现代神经成像方法来描绘不同阶段大脑发育的复杂解剖结构,揭示了在理解这一高度有序过程中极为丰富的信息,并为检测起源于早期大脑结构和功能成熟的神经及神经行为障碍提供了线索。非侵入性扩散张量磁共振成像(DTI)能够区分大脑微观结构,尤其是在白质区域。然而,DTI无法解析复杂的神经结构,即在成熟过程中经常观察到的纤维交叉。为克服这一局限性,已提出了几种方法。其中一种方法,广义q采样成像(GQI),可应用于各种数据集,包括单壳、多壳或网格采样方案,据信这些方案能够解析复杂的交叉纤维。兔子已被广泛用于神经发育研究,因为它们在围产期脑白质成熟的时间上与人类相似。在此,我们展示一项纵向研究,使用DTI和GQI来证明体内发育的兔脑在40周时间内大脑成熟的变化。DTI的分数各向异性(FA)和GQI指数的广义分数各向异性(GFA)表明,白质各向异性随年龄增加,GFA在海马体中也呈现增加。GQI的归一化定量各向异性(NQA)也显示海马体增加,这使我们也能够观察灰质的变化。区域和全脑DTI纤维束成像也表明纤维通路结构随着成熟而细化。我们得出结论,DTI和GQI结果能够表征白质各向异性变化,而GQI提供了有关灰质海马体区域的更多信息。这个发育中的兔脑DTI和GQI数据库也可用于教育目的和神经科学研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a660/4370884/e1b575fe3eb5/pone.0119932.g001.jpg

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