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纵向 MRI 研究揭示了雪貂大脑发育过程中的区域性生长时间和速度变化。

Longitudinal MRI of the developing ferret brain reveals regional variations in timing and rate of growth.

机构信息

Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Evansville, IN 47715, United States.

Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO 63130, United States.

出版信息

Cereb Cortex. 2024 Apr 1;34(4). doi: 10.1093/cercor/bhae172.

Abstract

Normative ferret brain development was characterized using magnetic resonance imaging. Brain growth was longitudinally monitored in 10 ferrets (equal numbers of males and females) from postnatal day 8 (P8) through P38 in 6-d increments. Template T2-weighted images were constructed at each age, and these were manually segmented into 12 to 14 brain regions. A logistic growth model was used to fit data from whole brain volumes and 8 of the individual regions in both males and females. More protracted growth was found in males, which results in larger brains; however, sex differences were not apparent when results were corrected for body weight. Additionally, surface models of the developing cortical plate were registered to one another using the anatomically-constrained Multimodal Surface Matching algorithm. This, in turn, enabled local logistic growth parameters to be mapped across the cortical surface. A close similarity was observed between surface area expansion timing and previous reports of the transverse neurogenic gradient in ferrets. Regional variation in the extent of surface area expansion and the maximum expansion rate was also revealed. This characterization of normative brain growth over the period of cerebral cortex folding may serve as a reference for ferret studies of brain development.

摘要

使用磁共振成像对雪貂大脑的正常发育进行了特征描述。在 6 天的时间内,对 10 只雪貂(雄性和雌性数量相等)从出生后第 8 天(P8)到第 38 天(P38)进行了纵向监测。在每个年龄点构建模板 T2 加权图像,并手动将其分割成 12 到 14 个脑区。使用逻辑增长模型拟合了来自全脑体积和 8 个男性和女性个体区域的数据。在雄性中发现了更缓慢的生长,这导致了更大的大脑;然而,当结果根据体重进行校正时,性别差异并不明显。此外,使用受解剖结构约束的多模态表面匹配算法对发育中的皮质板的表面模型进行了彼此注册。这反过来又使局部逻辑增长参数可以映射到皮质表面上。在雪貂中,观察到表面面积扩展时间与之前关于横向神经发生梯度的报告之间非常相似。还揭示了表面面积扩展的程度和最大扩展率的区域变化。这段对大脑皮层折叠期间正常大脑生长的描述可以作为雪貂大脑发育研究的参考。

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J Neurosci. 2022 Dec 14;42(50):9435-9449. doi: 10.1523/JNEUROSCI.1285-22.2022. Epub 2022 Nov 2.
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Evolution of genetic mechanisms regulating cortical neurogenesis.调控皮质神经发生的遗传机制的进化。
Dev Neurobiol. 2022 Jul;82(5):428-453. doi: 10.1002/dneu.22891. Epub 2022 Jun 22.
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Folding brains: from development to disease modeling.折叠的大脑:从发育到疾病建模。
Physiol Rev. 2022 Apr 1;102(2):511-550. doi: 10.1152/physrev.00016.2021. Epub 2021 Oct 11.
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The Ferret as a Model System for Neocortex Development and Evolution.雪貂作为新皮质发育与进化的模型系统
Front Cell Dev Biol. 2021 Apr 29;9:661759. doi: 10.3389/fcell.2021.661759. eCollection 2021.

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