Preserved functional networks in a hydrocephalic mouse

F. Mandino, Ling Yun Yeow, J. Gigg, M. Olivo, J. Grandjean
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引用次数: 5

Abstract

Hydrocephalus is a brain condition characterized by enlarged ventricles, due to an excess of cerebrospinal fluid. Although it is known to affect cognition, development, gait, and mood, the impact of hydrocephalus on large-scale functional brain organization is poorly documented. Here, we present results on a single spontaneous occurrence of severe hydrocephalus observed in a 3xTgAD mouse, compared to a control cohort of 3xTgAD littermates. Resting-state functional magnetic resonance imaging analysis, carried out under light anesthesia, revealed the remarkable presence of functional connectivity (FC) resembling the common mouse resting-state networks (RSNs). Four main components were identified in the hydrocephalic mouse, attributable to the Default Mode network, Salience network, and sensorimotor networks. Characteristic features of the RSNs in the hydrocephalic mouse were found to be well preserved, both in spatial distribution and in FC magnitude, despite the severity of the pathology. This is the first documented case of resting-state fMRI conducted on a mouse affected by severe hydrocephalus. The surprising presence of resting-state networks was found to be comparable to littermate controls, highlighting a remarkable functional resilience in the hydrocephalic brain.
脑积水小鼠保存的功能网络
脑积水是一种脑部疾病,其特征是脑室增大,由于脑脊液过多。虽然已知脑积水会影响认知、发育、步态和情绪,但对大范围功能性脑组织的影响文献记载甚少。在这里,我们报告了在3xTgAD小鼠中观察到的单一自发性严重脑积水的结果,与3xTgAD小鼠的对照队列进行了比较。在轻度麻醉下进行的静息状态功能磁共振成像分析显示,与普通小鼠静息状态网络(rsn)相似的功能连接(FC)显著存在。在脑积水小鼠中发现了四个主要组成部分,分别是默认模式网络、显著性网络和感觉运动网络。尽管脑积水小鼠的病理严重,但脑积水小鼠的rsn的特征在空间分布和FC大小上都得到了很好的保存。这是第一个记录的静息状态fMRI对严重脑积水影响的小鼠进行的病例。静息状态网络的惊人存在被发现与同伴对照相当,突出了脑积水大脑中显着的功能弹性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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