老年人认知训练的神经机制研究

伴随老化,老年人的认知和脑功能会表现出一定的下降趋势.尽管如此,人类的大脑到老年期都会保有一定的可塑性,认知训练的方式是延缓认知和脑功能衰退的有效手段.本文回顾了以往针对老年人不同类型的认知训练研究,探讨了认知训练的理论基础(包括放大观和补偿观),深入分析了老年人认知训练的神经机制,并在此基础上指出以往研究中理论基础冲突的不足和对未来研究老年人训练任务适配性的展望.     

运动和饮食对老年人认知功能的影响及其表观遗传学机制探讨

我国正步入老龄化社会,研究如何有效延缓衰老,维护老年人的认知功能已成为当今老年医学亟待解决的问题之一。近年来,生活方式影响老年人认知功能的作用倍受关注。因此,本文综述运动和饮食干预对老年人认知发展的影响,并重点探讨其表观遗传学机理研究进展,有助于今后合理、有效地对认知功能衰退进行干预与研究。未来相关的研究应进一步严格研究设计,拓宽多因素的综合,形成更有解释力的、统一的、完整的理论体系。     

磁疗与延缓衰老(二)

衰老的免疫学说衰老的免疫学说,是衰老机制学说的重要组成部分。免疫功能衰退是人和大多数哺乳动物老化过程的重要机制。自体免疫在导致衰老的细胞老化中起决定性作用,因而从根本上参与了整个机体老化。随着年龄的增长免疫功能逐渐下降,使人体抵抗病原微生物感染能力降低,从而更加剧各组织器官老化。老年人的免疫系统衰退的特点随着年龄的增加,机体的免疫系统,如免疫器官、免疫细胞及免疫分子都会发生一系列衰退性改变。免疫器官及免疫细胞老化的特点：根据目前研究得知,就防御功能的作用而言,较低等脊椎动物（鱼类和两栖类）免疫系…     

老年患者跌倒的危险因素和居家护理

老年人随着年龄的增长．组织器官的生理功能逐渐老化衰退．五官、四肢的功能出现障碍．容易跌倒导致机体创伤、自信心下降、社会参与减少等,甚至危及老人生命．给家庭和社会带来巨大的负担。预防老年患者跌倒是临床护理人员探索的课题之一。     

肠道菌群与老年认知障碍的研究进展

认知减退是脑老化的一个重要特征,随着年龄的增长,炎症反应增加、抗氧化能力下降、血脑屏障损伤及海马结构变化都与老年人认知功能减退有关。近年来,越来越多的研究发现伴随年龄增长而发生的肠道微生物组成变化也是影响老年认知功能的重要原因,并逐渐成为老年认知障碍的重要研究靶点。大量研究发现,肠道菌群可经肠脑轴对老年认知功能产生影响,不仅可以通过神经递质、迷走神经、神经内分泌、免疫调节等途径影响大脑记忆、情感及其他认知领域的功能,还可以通过影响β-淀粉样蛋白沉积、脂多糖水平及小胶质细胞的发育与成熟影响认知功能。本文综述了近年来有关肠道菌群和老年认知功能障碍的相关进展,以期为老年认知障碍相关疾病的防治与康复提供新的思路。     

八个改变让大脑重返年轻

<正>脑力衰退是老年人共同的生理现象,它给老年人的生活带来了许多苦恼和不便,这也是不可阻挡的自然规律。然而,脑力的衰退不一定都与年龄的增长成正比。有些高龄老人会像年轻人那样神采奕奕,并没有出现智力退化的现象,这是为什么呢?科学家最新的研究揭开了大脑重返年轻的奥秘。     

自噬在老化及抗老化效应中的作用

自噬的主要作用是收集并降解细胞浆内的无用的细胞器及大分子物质,用于细胞结构的重建和修复,及在饥饿时给机体提供营养来源.研究发现自噬功能会随着年龄增长而衰退.这种衰退可能是由于不限制饮食而发生年龄相关的细胞结构改变及功能下降所致.热限制及拮抗胰岛素类信号可以上调自噬.同时发现,终生给予抗脂质分解类药物可以降低葡萄糖和胰岛素的水平,诱导自噬并加强抗老化效应.     

微生态制剂在老年人肠道菌群失衡中的应用

人类从青年到老年这个过程,随着年龄的增长,退行性和感染性疾病的易感性也增加,其可能与人体肠道菌群失衡有着密切的关系。人体肠道内生理菌群对机体健康具有重要的作用,其变化与宿主的免疫功能、食物、疾病和年龄等有关。了解老年人肠道菌群特点,且在老年人肠道菌群失调相关疾病中合理介入微生态制剂,将大大有利于老年人身体健康。本文就老年人肠道菌群失衡相关疾病以及微生态制剂在这些疾病中的应用进行综述。     

长白山区濒危植物朝鲜崖柏种群数量特征及动态

朝鲜崖柏为国家二级重点保护植物,是长白山区特有的濒危树种,具有重要的经济价值和观赏价值.在对朝鲜崖柏主要分布区野生资源进行调查基础上,首次利用个体基径和年龄数据建立不同群落朝鲜崖柏种群的龄级结构、静态生命表和生存函数,用动态指数和时间序列分析预测其种群发展趋势.结果表明: 朝鲜崖柏种群的龄级结构呈“∩”型,属衰退型;分布于暗针叶林下的朝鲜崖柏种群存活曲线趋向于Deevey-Ⅲ型,纯林群落种群趋向于Deevey-Ⅱ型;种群生存分析显示,暗针叶林下朝鲜崖柏种群的生存函数呈现不规则的波动状态,种群分布表现为早期锐减、中期稳定、后期衰退的动态特征,纯林群落中,种群分布表现为早期稳定、中期增长、后期缓慢衰退的特点;动态指数和时间序列分析显示,暗针叶林下朝鲜崖柏种群的衰退速度略高于纯林群落.综合分析表明,朝鲜崖柏种群具有一定的恢复能力,应适当采取人工抚育,促进其种群正常更新.     

川陈皮素改善衰老认知功能损伤的作用与机制

随着世界人口的老龄化,与年龄相关认知功能障碍的威胁越来越大.研究年龄相关认知功能损伤的发病机制及寻找有效的防治策略具有重要意义.我们之前的研究表明,衰老小鼠海马中S-亚硝基谷胱甘肽还原酶(S-nitrosoglutathione reductase,GSNOR)显著升高,神经元特异性高表达GSNOR转基因小鼠在行为学检测中表现出认知功能障碍.然而,其分子机制仍不清楚.在本研究中发现,CREB信号通路在GSNOR高表达转基因小鼠及原代培养小鼠海马神经元中均被GSNOR下调.在Y迷宫中检测表明,连续7 d腹腔注射CREB激活剂川陈皮素,能改善GSNOR过表达小鼠的认知损伤.进一步通过恐惧箱实验及Y迷宫测试研究川陈皮素对自然衰老小鼠认知功能的作用,发现川陈皮素能显著提高自然衰老小鼠在Y迷宫测试中的正确选择率以及在恐惧箱中的冻结时间,表明川陈皮素能显著改善衰老相关的认知功能.同样,川陈皮素上调了CREB磷酸化以及PSD95和Glu R1的水平,表明CREB信号上调在改善自然衰老认知功能损伤中发挥了重要作用.本研究为衰老认知功能损伤机制及改善方法提供了新的依据,GSNOR转基因小鼠也可能成为一种新的认知功能损伤模型.     

Associations between age and gray matter volume in anatomical brain networks in middle‐aged to older adults

Aging is associated with cognitive decline, diminished brain function, regional brain atrophy, and disrupted structural and functional brain connectivity. Understanding brain networks in aging is essential, as brain function depends on large‐scale distributed networks. Little is known of structural covariance networks to study inter‐regional gray matter anatomical associations in aging. Here, we investigate anatomical brain networks based on structural covariance of gray matter volume among 370 middle‐aged to older adults of 45–85 years. For each of 370 subjects, we acquired a T1‐weighted anatomical MRI scan. After segmentation of structural MRI scans, nine anatomical networks were defined based on structural covariance of gray matter volume among subjects. We analyzed associations between age and gray matter volume in anatomical networks using linear regression analyses. Age was negatively associated with gray matter volume in four anatomical networks (P < 0.001, corrected): a subcortical network, sensorimotor network, posterior cingulate network, and an anterior cingulate network. Age was not significantly associated with gray matter volume in five networks: temporal network, auditory network, and three cerebellar networks. These results were independent of gender and white matter hyperintensities. Gray matter volume decreases with age in networks containing subcortical structures, sensorimotor structures, posterior, and anterior cingulate cortices. Gray matter volume in temporal, auditory, and cerebellar networks remains relatively unaffected with advancing age.     

Large-scale cortical functional organization and speech perception across the lifespan

Aging is accompanied by substantial changes in brain function, including functional reorganization of large-scale brain networks. Such differences in network architecture have been reported both at rest and during cognitive task performance, but an open question is whether these age-related differences show task-dependent effects or represent only task-independent changes attributable to a common factor (i.e., underlying physiological decline). To address this question, we used graph theoretic analysis to construct weighted cortical functional networks from hemodynamic (functional MRI) responses in 12 younger and 12 older adults during a speech perception task performed in both quiet and noisy listening conditions. Functional networks were constructed for each subject and listening condition based on inter-regional correlations of the fMRI signal among 66 cortical regions, and network measures of global and local efficiency were computed. Across listening conditions, older adult networks showed significantly decreased global (but not local) efficiency relative to younger adults after normalizing measures to surrogate random networks. Although listening condition produced no main effects on whole-cortex network organization, a significant age group x listening condition interaction was observed. Additionally, an exploratory analysis of regional effects uncovered age-related declines in both global and local efficiency concentrated exclusively in auditory areas (bilateral superior and middle temporal cortex), further suggestive of specificity to the speech perception tasks. Global efficiency also correlated positively with mean cortical thickness across all subjects, establishing gross cortical atrophy as a task-independent contributor to age-related differences in functional organization. Together, our findings provide evidence of age-related disruptions in cortical functional network organization during speech perception tasks, and suggest that although task-independent effects such as cortical atrophy clearly underlie age-related changes in cortical functional organization, age-related differences also demonstrate sensitivity to task domains.     

Hippocampal Extracellular Matrix Levels and Stochasticity in Synaptic Protein Expression Increase with Age and Are Associated with Age-dependent Cognitive Decline

Age-related cognitive decline is a serious health concern in our aging society. Decreased cognitive function observed during healthy brain aging is most likely caused by changes in brain connectivity and synaptic dysfunction in particular brain regions. Here we show that aged C57BL/6J wild-type mice have hippocampus-dependent spatial memory impairments. To identify the molecular mechanisms that are relevant to these memory deficits, we investigated the temporal profile of mouse hippocampal synaptic proteome changes at 20, 40, 50, 60, 70, 80, 90, and 100 weeks of age. Extracellular matrix proteins were the only group of proteins that showed robust and progressive up-regulation over time. This was confirmed by immunoblotting and histochemical analysis, which indicated that the increased levels of hippocampal extracellular matrix might limit synaptic plasticity as a potential cause of age-related cognitive decline. In addition, we observed that stochasticity in synaptic protein expression increased with age, in particular for proteins that were previously linked with various neurodegenerative diseases, whereas low variance in expression was observed for proteins that play a basal role in neuronal function and synaptic neurotransmission. Together, our findings show that both specific changes and increased variance in synaptic protein expression are associated with aging and may underlie reduced synaptic plasticity and impaired cognitive performance in old age.As the proportion of aged individuals in our population continues to grow, we are faced with an increase in age-related health problems. Brain aging invariably leads to functional decline and impairments in cognitive function and motor skills, which can seriously affect quality of life. A better understanding of the neurobiological mechanisms underlying age-related cognitive decline is crucial to facilitate maintenance of cognitive health in the elderly and to reveal potential causes of highly prevalent age-related forms of dementia, in particular Alzheimer disease, in which cognitive decline is severely impaired by yet unknown mechanisms.Several studies showed that normal brain aging is associated with subtle morphological and functional alterations in specific neuronal circuits (1, 2) and that reduced cognitive function with increasing age is likely due to synaptic dysfunction (3). Increasing evidence supports the idea that alterations in hippocampal activity are correlated with deficits in learning and memory in healthy aging humans (4, 5). In addition, rodent models of healthy aging demonstrate strong correlations between impaired performance in learning and memory tests and disturbed hippocampal network activity (6, 7). Electrophysiological studies provide additional evidence that age-related disturbances in the hippocampus involve changes in the principal cellular features of learning and memory, synaptic long-term potentiation and long-term depression (8, 9). Together, these observations suggest that a decline in hippocampal synaptic efficacy and plasticity plays a critical role in age-dependent cognitive impairment.Aging is also the primary risk factor for Alzheimer disease, which clinically manifests as severe and accelerated age-dependent cognitive decline (10). Genetic causes of familial early-onset Alzheimer disease all point to a key role in disease etiology for increased brain levels of the protein amyloid-β (11). Familial Alzheimer disease, however, is rare, and it is likely that increased amyloid-β levels in sporadic Alzheimer disease result from age-dependent and/or genetically determined alterations in the expression of other genes or proteins (12, 13). Thus, the identification of molecular mechanisms of normal brain aging might also contribute to our understanding of cognitive decline under pathological conditions, in particular in Alzheimer disease.Although the exact mechanisms underlying brain aging remain to be fully determined, they likely include changes at the molecular, cellular, and neuronal-network levels. In particular, characterization of alterations in the molecular composition and dynamics of hippocampal synapses could potentially reveal important aspects of the underlying mechanisms of brain aging. Age-related changes in global hippocampal gene and protein expression have been investigated previously (14, 15), but these studies were not geared to identify the specific synaptic molecular substrates of brain aging. Here, we made use of iTRAQ¹ technology and high-coverage mass spectrometry to study the effects of aging on the proteomic composition of mouse hippocampal synaptosomes. We investigated the synaptic proteomes of individual mice at 20, 40, 50, 60, 70, 80, 90, and 100 weeks of age. Our findings show that both specific changes and increased variance in synaptic protein expression are associated with age-related cognitive decline.     

Electroencephalographic imaging of higher brain function.

High temporal resolution is necessary to resolve the rapidly changing patterns of brain activity that underlie mental function. Electroencephalography (EEG) provides temporal resolution in the millisecond range. However, traditional EEG technology and practice provide insufficient spatial detail to identify relationships between brain electrical events and structures and functions visualized by magnetic resonance imaging or positron emission tomography. Recent advances help to overcome this problem by recording EEGs from more electrodes, by registering EEG data with anatomical images, and by correcting the distortion caused by volume conduction of EEG signals through the skull and scalp. In addition, statistical measurements of sub-second interdependences between EEG time-series recorded from different locations can help to generate hypotheses about the instantaneous functional networks that form between different cortical regions during perception, thought and action. Example applications are presented from studies of language, attention and working memory. Along with its unique ability to monitor brain function as people perform everyday activities in the real world, these advances make modern EEG an invaluable complement to other functional neuroimaging modalities.     

Resting-State Temporal Synchronization Networks Emerge from Connectivity Topology and Heterogeneity

Spatial patterns of coherent activity across different brain areas have been identified during the resting-state fluctuations of the brain. However, recent studies indicate that resting-state activity is not stationary, but shows complex temporal dynamics. We were interested in the spatiotemporal dynamics of the phase interactions among resting-state fMRI BOLD signals from human subjects. We found that the global phase synchrony of the BOLD signals evolves on a characteristic ultra-slow (<0.01Hz) time scale, and that its temporal variations reflect the transient formation and dissolution of multiple communities of synchronized brain regions. Synchronized communities reoccurred intermittently in time and across scanning sessions. We found that the synchronization communities relate to previously defined functional networks known to be engaged in sensory-motor or cognitive function, called resting-state networks (RSNs), including the default mode network, the somato-motor network, the visual network, the auditory network, the cognitive control networks, the self-referential network, and combinations of these and other RSNs. We studied the mechanism originating the observed spatiotemporal synchronization dynamics by using a network model of phase oscillators connected through the brain’s anatomical connectivity estimated using diffusion imaging human data. The model consistently approximates the temporal and spatial synchronization patterns of the empirical data, and reveals that multiple clusters that transiently synchronize and desynchronize emerge from the complex topology of anatomical connections, provided that oscillators are heterogeneous.     

Monitoring the Early Signs of Cognitive Decline in Elderly by Computer Games: An MRI Study

BackgroundIt is anticipated that current and future preventive therapies will likely be more effective in the early stages of dementia, when everyday functioning is not affected. Accordingly the early identification of people at risk is particularly important. In most cases, when subjects visit an expert and are examined using neuropsychological tests, the disease has already been developed. Contrary to this cognitive games are played by healthy, well functioning elderly people, subjects who should be monitored for early signs. Further advantages of cognitive games are their accessibility and their cost-effectiveness.PurposeThe aim of the investigation was to show that computer games can help to identify those who are at risk. In order to validate games analysis was completed which measured the correlations between results of the ''Find the Pairs'' memory game and the volumes of the temporal brain regions previously found to be good predictors of later cognitive decline.ResultsThere was a correlation between the number of attempts and the time required to complete the memory game and the volume of the entorhinal cortex, the temporal pole, and the hippocampus. There was also a correlation between the results of the Paired Associates Learning (PAL) test and the memory game.ConclusionsThe results gathered support the initial hypothesis that healthy elderly subjects achieving lower scores in the memory game have increased level of atrophy in the temporal brain structures and showed a decreased performance in the PAL test. Based on these results it can be concluded that memory games may be useful in early screening for cognitive decline.     

Diffusion tensor imaging of cerebral white matter integrity in cognitive aging

In this article we review recent research on diffusion tensor imaging (DTI) of white matter (WM) integrity and the implications for age-related differences in cognition. Neurobiological mechanisms defined from DTI analyses suggest that a primary dimension of age-related decline in WM is a decline in the structural integrity of myelin, particularly in brain regions that myelinate later developmentally. Research integrating behavioral measures with DTI indicates that WM integrity supports the communication among cortical networks, particularly those involving executive function, perceptual speed, and memory (i.e., fluid cognition). In the absence of significant disease, age shares a substantial portion of the variance associated with the relation between WM integrity and fluid cognition. Current data are consistent with one model in which age-related decline in WM integrity contributes to a decreased efficiency of communication among networks for fluid cognitive abilities. Neurocognitive disorders for which older adults are at risk, such as depression, further modulate the relation between WM and cognition, in ways that are not as yet entirely clear. Developments in DTI technology are providing a new insight into both the neurobiological mechanisms of aging WM and the potential contribution of DTI to understanding functional measures of brain activity. This article is part of a Special Issue entitled: Imaging Brain Aging and Neurodegenerative disease.     

White Matter Hyperintensities among Older Adults Are Associated with Futile Increase in Frontal Activation and Functional Connectivity during Spatial Search

The mechanisms by which aging and other processes can affect the structure and function of brain networks are important to understanding normal age-related cognitive decline. Advancing age is known to be associated with various disease processes, including clinically asymptomatic vascular and inflammation processes that contribute to white matter structural alteration and potential injury. The effects of these processes on the function of distributed cognitive networks, however, are poorly understood. We hypothesized that the extent of magnetic resonance imaging white matter hyperintensities would be associated with visual attentional control in healthy aging, measured using a functional magnetic resonance imaging search task. We assessed cognitively healthy older adults with search tasks indexing processing speed and attentional control. Expanding upon previous research, older adults demonstrate activation across a frontal-parietal attentional control network. Further, greater white matter hyperintensity volume was associated with increased activation of a frontal network node independent of chronological age. Also consistent with previous research, greater white matter hyperintensity volume was associated with anatomically specific reductions in functional magnetic resonance imaging functional connectivity during search among attentional control regions. White matter hyperintensities may lead to subtle attentional network dysfunction, potentially through impaired frontal-parietal and frontal interhemispheric connectivity, suggesting that clinically silent white matter biomarkers of vascular and inflammatory injury can contribute to differences in search performance and brain function in aging, and likely contribute to advanced age-related impairments in cognitive control.     

Changes in Thalamic Connectivity in the Early and Late Stages of Amnestic Mild Cognitive Impairment: A Resting-State Functional Magnetic Resonance Study from ADNI

We used resting-state functional magnetic resonance imaging (fMRI) to investigate changes in the thalamus functional connectivity in early and late stages of amnestic mild cognitive impairment. Data of 25 late stages of amnestic mild cognitive impairment (LMCI) patients, 30 early stages of amnestic mild cognitive impairment (EMCI) patients and 30 well-matched healthy controls (HC) were analyzed from the Alzheimer’s disease Neuroimaging Initiative (ADNI). We focused on the correlation between low frequency fMRI signal fluctuations in the thalamus and those in all other brain regions. Compared to healthy controls, we found functional connectivity between the left/right thalamus and a set of brain areas was decreased in LMCI and/or EMCI including right fusiform gyrus (FG), left and right superior temporal gyrus, left medial frontal gyrus extending into supplementary motor area, right insula, left middle temporal gyrus (MTG) extending into middle occipital gyrus (MOG). We also observed increased functional connectivity between the left/right thalamus and several regions in LMCI and/or EMCI including left FG, right MOG, left and right precuneus, right MTG and left inferior temporal gyrus. In the direct comparison between the LMCI and EMCI groups, we obtained several brain regions showed thalamus-seeded functional connectivity differences such as the precentral gyrus, hippocampus, FG and MTG. Briefly, these brain regions mentioned above were mainly located in the thalamo-related networks including thalamo-hippocampus, thalamo-temporal, thalamo-visual, and thalamo-default mode network. The decreased functional connectivity of the thalamus might suggest reduced functional integrity of thalamo-related networks and increased functional connectivity indicated that aMCI patients could use additional brain resources to compensate for the loss of cognitive function. Our study provided a new sight to understand the two important states of aMCI and revealed resting-state fMRI is an appropriate method for exploring pathophysiological changes in aMCI.     

Dynamic neuroplasticity after human prefrontal cortex damage

Memory and attention deficits are common after prefrontal cortex (PFC) damage, yet people generally recover some function over time. Recovery is thought to be dependent upon undamaged brain regions, but the temporal dynamics underlying cognitive recovery are poorly understood. Here, we provide evidence that the intact PFC compensates for damage in the lesioned PFC on a trial-by-trial basis dependent on cognitive load. The extent of this rapid functional compensation is indexed by transient increases in electrophysiological measures of attention and memory in the intact PFC, detectable within a second after stimulus presentation and only when the lesioned hemisphere is challenged. These observations provide evidence supporting a dynamic and flexible model of compensatory neural plasticity.