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Altered functional brain networks in amnestic mild cognitive impairment: a resting-state fMRI study

机译:Amnestic认知障碍的改变功能性脑网络:休息状态FMRI研究

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Amnestic mild cognitive impairment MCI (aMCI) has a high progression to Alzheimer's disease (AD). Recently, resting-state functional MRI (RS-fMRI) has been increasingly utilized in studying the pathogenesis of aMCI, especially in resting-state networks (RSNs). In the current study, we aimed to explore abnormal RSNs related to memory deficits in aMCI patients compared to the aged-matched healthy control group using RS-fMRI techniques. Firstly, we used ALFF (amplitude of low-frequency fluctuation) method to define the regions of interest (ROIs) which exhibited significant changes in aMCI compared with the control group. Then, we divided these ROIs into different networks in line with prior studies. The aim of this study is to explore the functional connectivity between these ROIs within networks and also to investigate the connectivity between networks. Comparing aMCI to the control group, our results showed that 1) the hippocampus (HIPP) had decreased FC with the medial prefrontal cortex (mPFC) and inferior parietal lobe (IPL), and the mPFC showed increased connectivity to IPL in the default mode network; 2) the thalamus showed decreased FC with the putamen and HIPP, and the HIPP showed increased connectivity to the putamen in the limbic system; 3) the supplementary motor area had decreased FC with the middle temporal gyrus and increased FC with the superior parietal lobe in the sensorimotor network; 4) increased connectivity between the lingual gyrus and middle occipital gyrus in the visual network; and 5) the DMN has reduced inter-network connectivities with the SMN and VN. These findings indicated that functional brain networks involved in cognition such as episodic memory, sensorimotor and visual cognition in aMCI were altered, and provided a new sight in understanding the important subtype of aMCI.
机译:Amnestic MILD认知障碍MCI(AMCI)对阿尔茨海默病(AD)具有很高的进展。最近,休息状态函数MRI(RS-FMRI)越来越多地用于研究AMCI的发病机制,特别是在休息状态网络(RSNS)中。在目前的研究中,与使用RS-FMRI技术的老化匹配的健康对照组相比,我们旨在探索与AMCI患者的记忆缺陷相关的异常RSN。首先,我们使用ALFF(低频波动)方法来定义与对照组相比表现出AMCI显着变化的感兴趣区域(ROI)。然后,我们将这些ROI划分为不同的网络与先前的研究。本研究的目的是探讨网络内的这些ROI之间的功能连接,还可以调查网络之间的连接。将AMCI与对照组进行比较,我们的结果表明,1)海马(HIPP)用内侧前额叶皮质(MPFC)和下壁叶(IPL)降低了FC,并且MPFC在默认模式网络中显示了与IPL的连接增加; 2)Thalamus表现出与腐库和HIPP减少的FC,HIPP显示了与肢体系统中的腐烂的增加的连接; 3)补充电动机面积与中间时颞波动率下降,并随着传感器网络中的高级凸角增加了Fc; 4)在视觉网络中的舌旋转和中部枕膜之间的连接增加; 5)DMN通过SMN和VN减少了网络间连接性。这些发现表明,AMCI中涉及认知的功能性脑网络,例如在AMCI中的视觉记忆,并在理解AMCI的重要亚型方面提供了新的景点。

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