fMRI检测阿尔茨海默病进展过程中脑室耦合模式的改变。

Fulvia Francesca Campo, Elvira Brattico, Vânia Miguel, Vicente Magalhaes, Salvatore Nigro, Benedetta Tafuri, Giancarlo Logroscino, Joana Cabral
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引用次数: 0

摘要

静息状态功能MRI (rsfMRI)信号波动的起源仍然存在争议。最近的证据表明,全球皮质rsfMRI信号与第四脑室脑脊液流入之间存在耦合,在睡眠时增加,随着阿尔茨海默病(AD)的进展而减少,这可能反映了大脑清除机制。然而,更复杂的脑室耦合模式的存在及其与认知能力下降的关系仍未被探索。研究人员分析了163名老年AD患者的599张最小预处理rsfMRI扫描图,发现了不同组间不同的脑室耦合模式,并与认知评分相关。除了已知的全球大脑信号和脑室之间的反相位耦合(在认知正常的对照组中更常见)之外,我们还发现了其他模式,即特定的大脑区域暂时与脑室信号对齐。在皮层水平上,这些模式形成了典型的静息状态网络,如默认模式网络(Default Mode Network),这种网络在AD中较少出现,或额顶叶网络(Frontoparietal Network),后者与记忆分数呈正相关。脑室和大脑信号之间的直接联系挑战了从rsfMRI分析中去除脑脊液成分的常见做法,并质疑形成功能网络的皮质信号波动的起源,这可能反映了特定区域的流体流入模式。这些发现为神经退行性疾病中脑清除机制与网络功能障碍之间的关系提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive reserve linked to network-specific brain-ventricle coupling.

Despite showing significant impact in cognitive preservation, the relationship between brain activity captured with functional Magnetic Resonance Imaging (fMRI) in gray matter and ventricular cerebrospinal fluid dynamics remains poorly understood. We analyzed 599 fMRI scans from 163 elderly participants at rest with varying degrees of cognitive impairment employing a unified phase coupling analysis that breaks from convention by incorporating both tissue and ventricular signal fluctuations. This whole-brain approach identified distinct brain-ventricle coupling modes that differentiate between cognitive status groups and correlate with specific cognitive abilities. Beyond the previously reported anti-phase coupling between global brain signals and ventricles-which we confirm occurs more frequently in cognitively normal controls-our analysis method uncovered additional coupling modes where signals in specific brain networks temporarily align with ventricle signals. At the cortical level, these modes reveal patterns corresponding to known resting-state networks: one overlapping with the Default Mode Network occurs significantly less frequently in Alzheimer's Disease patients, while another revealing the Frontoparietal Network correlates positively with memory scores. Our findings demonstrate that different brain-ventricle coupling modes correlate with specific cognitive domains, with particular modes predicting memory, executive function, and visuospatial abilities. The coupling between signals in brain ventricles and established resting-state networks challenges our current understanding of functional network formation, suggesting an integral link with brain fluid motion. This reconceptualization of brain dynamics through the lens of fluid-tissue interactions establishes a fundamental physical basis for cognitive preservation, suggesting that therapeutic interventions targeting these interactions may prove more effective than approaches focused solely on cellular or molecular mechanisms.

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