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rTMS Improves Cognitive Function and Brain Network Connectivity in Patients With Alzheimer’s Disease
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作者 XU Gui-Zhi LIU Lin +4 位作者 GUO Miao-Miao WANG Tian GAO Jiao-Jiao JI Yong WANG Pan 《生物化学与生物物理进展》 北大核心 2025年第8期2131-2145,共15页
Objective Repetitive transcranial magnetic stimulation(rTMS)has demonstrated efficacy in enhancing neurocognitive performance in Alzheimer’s disease(AD),but the neurobiological mechanisms linking synaptic pathology,n... Objective Repetitive transcranial magnetic stimulation(rTMS)has demonstrated efficacy in enhancing neurocognitive performance in Alzheimer’s disease(AD),but the neurobiological mechanisms linking synaptic pathology,neural oscillatory dynamics,and brain network reorganization remain unclear.This investigation seeks to systematically evaluate the therapeutic potential of rTMS as a non-invasive neuromodulatory intervention through a multimodal framework integrating clinical assessments,molecular profiling,and neurophysiological monitoring.Methods In this prospective double-blind trial,12 AD patients underwent a 14-day protocol of 20 Hz rTMS,with comprehensive multimodal assessments performed pre-and postintervention.Cognitive functioning was quantified using the mini-mental state examination(MMSE)and Montreal cognitive assessment(MOCA),while daily living capacities and neuropsychiatric profiles were respectively evaluated through the activities of daily living(ADL)scale and combined neuropsychiatric inventory(NPI)-Hamilton depression rating scale(HAMD).Peripheral blood biomarkers,specifically Aβ1-40 and phosphorylated tau(p-tau181),were analyzed to investigate the effects of rTMS on molecular metabolism.Spectral power analysis was employed to investigate rTMS-induced modulations of neural rhythms in AD patients,while brain network analyses incorporating topological properties were conducted to examine stimulus-driven network reorganization.Furthermore,systematic assessment of correlations between cognitive scale scores,blood biomarkers,and network characteristics was performed to elucidate cross-modal therapeutic associations.Results Clinically,MMSE and MOCA scores improved significantly(P<0.05).Biomarker showed that Aβ1-40 level increased(P<0.05),contrasting with p-tau181 reduction.Moreover,the levels of Aβ1-40 were positively correlated with MMSE and MOCA scores.Post-intervention analyses revealed significant modulations in oscillatory power,characterized by pronounced reductions in delta(P<0.05)and theta bands(P<0.05),while concurrent enhancements were observed in alpha,beta,and gamma band activities(all P<0.05).Network analysis revealed frequency-specific reorganization:clustering coefficients were significantly decreased in delta,theta,and alpha bands(P<0.05),while global efficiency improvement was exclusively detected in the delta band(P<0.05).The alpha band demonstrated concurrent increases in average nodal degree(P<0.05)and characteristic path length reduction(P<0.05).Further research findings indicate that the changes in the clinical scale HAMD scores before and after rTMS stimulation are negatively correlated with the changes in the blood biomarkers Aβ1-40 and p-tau181.Additionally,the changes in the clinical scales MMSE and MoCA scores were negatively correlated with the changes in the node degree of the alpha frequency band and negatively correlated with the clustering coefficient of the delta frequency band.However,the changes in MMSE scores are positively correlated with the changes in global efficiency of both the delta and alpha frequency bands.Conclusion 20 Hz rTMS targeting dorsolateral prefrontal cortex(DLPFC)significantly improves cognitive function and enhances the metabolic clearance ofβ-amyloid and tau proteins in AD patients.This neurotherapeutic effect is mechanistically associated with rTMS-mediated frequency-selective neuromodulation,which enhances the connectivity of oscillatory networks through improved neuronal synchronization and optimized topological organization of functional brain networks.These findings not only support the efficacy of rTMS as an adjunctive therapy for AD but also underscore the importance of employing multiple assessment methods—including clinical scales,blood biomarkers,and EEG——in understanding and monitoring the progression of AD.This research provides a significant theoretical foundation and empirical evidence for further exploration of rTMS applications in AD treatment. 展开更多
关键词 transcranial magnetic stimulation Alzheimer’s disease power spectral density ELECTROENCEPHALOGRAM brain functional network
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2013年芦山M_(S)7.0地震震源区背景噪声源特征分析 被引量:1
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作者 刘艺璇 周元泽 《中国地震》 北大核心 2022年第4期721-736,共16页
应用背景噪声互相关信息研究强震前后地下介质波速变化时,噪声源的方位性特征会影响互相关函数形态,从而对波速变化有效估计造成影响。本文使用2013年芦山M_(S)7.0地震震源区附近的天全台(TQU) 2013年全年的连续波形记录,计算其垂直分... 应用背景噪声互相关信息研究强震前后地下介质波速变化时,噪声源的方位性特征会影响互相关函数形态,从而对波速变化有效估计造成影响。本文使用2013年芦山M_(S)7.0地震震源区附近的天全台(TQU) 2013年全年的连续波形记录,计算其垂直分量的噪声功率谱概率密度函数,分析背景噪声源能量强度特征;并通过频域极化法计算噪声源极化率以及极化方位角的概率密度函数,研究噪声源的极性特征。结果表明,研究区小于0.05Hz的长周期噪声源种类较多,且具有噪声能量强度和极化程度较高、极化方位性明显的特点;第一类地脉动(0.05~0.1Hz)极化方位角为30°和210°,噪声能量较低;第二类地脉动(0.1~0.5Hz)极化方位角分布在150°~210°,噪声能量较高,且其能量强度具有季节性变化特征;大于1Hz的高频噪声主要来自人类活动,噪声能量水平受人类活动强弱影响明显。因此,即使在远离海洋的大陆地区,在利用背景噪声监测局部波速变化时,应注意噪声强度以及噪声源方向性变化的影响。 展开更多
关键词 地震背景噪声 芦山M_(s)7.0地震 功率谱密度 极化性 概率密度函数
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非平稳地震动过程模拟的谱表示-随机函数方法 被引量:29
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作者 刘章军 曾波 吴林强 《振动工程学报》 EI CSCD 北大核心 2015年第3期411-417,共7页
在Priestley演变谱理论的基础上,采用随机函数的思想,建立了一类新的全非平稳过程模拟的谱表示-随机函数方法。在谱表示-随机函数方法中,实现了用2个基本随机变量即可精确表达原随机过程的目的。通过选取基本随机变量的离散代表点集,可... 在Priestley演变谱理论的基础上,采用随机函数的思想,建立了一类新的全非平稳过程模拟的谱表示-随机函数方法。在谱表示-随机函数方法中,实现了用2个基本随机变量即可精确表达原随机过程的目的。通过选取基本随机变量的离散代表点集,可以直接由演变功率谱密度函数生成具有给定赋得概率的代表性样本集合。以全非平稳地震动加速度过程的演变功率谱为例,验证了方法的有效性和优越性。最后,结合概率密度演化方法,进行了Duffing振子的随机地震反应分析与抗震可靠度计算。 展开更多
关键词 非平稳地震动 随机函数 演变功率谱 概率密度演化方法 DUFFING振子
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非平稳地震动过程模拟方法(Ⅰ) 被引量:28
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作者 梁建文 《地震学报》 CSCD 北大核心 2005年第2期213-224,共12页
直接由Priestley渐进谱理论导出了非平稳地震动过程模拟的一个谱表示方法. 按照该方法, 样本过程可直接由一余弦级数公式计算产生. 可以证明, 当级数项数足够大时, 模拟的样本过程可准确地反映渐进功率谱规定的性质; 当模拟的样本过程... 直接由Priestley渐进谱理论导出了非平稳地震动过程模拟的一个谱表示方法. 按照该方法, 样本过程可直接由一余弦级数公式计算产生. 可以证明, 当级数项数足够大时, 模拟的样本过程可准确地反映渐进功率谱规定的性质; 当模拟的样本过程足够多时, 其总体均值和总体自相关函数均趋于相应目标函数; 模拟的样本过程随着级数项数趋于无穷而渐近呈正态分布. 最后对模拟公式的几种特例情况进行了讨论, 其中一种情况得到非平稳白噪声过程模拟公式, 另一种情况退化为平稳随机过程模拟公式. 展开更多
关键词 非平稳地震动过程 模拟 谱表示 渐进功率谱
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