A robust core architecture of functional brain networks supports topological resilience and cognitive performance in middle- and old-aged adults.

A robust core architecture of functional brain networks supports topological resilience and cognitive performance in middle- and old-aged adults.
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DOI:
10.1073/pnas.2203682119
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发表时间:
2022-11
影响因子:
11.1
通讯作者:
--
中科院分区:
综合性期刊1区
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--
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衰老和痴呆症的认知功能障碍与弹性较差的大脑网络有关,这些大脑网络对环境侮辱和疾病更敏感。在这里,我们开始确定强大的核心连接性和弹性如何与年龄和认知相关。我们发现,健康成年人的年龄与这些变量呈负相关,而认知表现与稳健的连接性和核心韧性呈正相关,特别是在默认模式、边缘和额顶控制网络中。最后,我们发现核心弹性和核心连通性在情景记忆绩效的年龄相关差异中起中介作用。综上所述,我们的结果揭示了人脑网络的核心拓扑和弹性对于健康的中老年人的认知功能的潜在重要性。衰老与认知的逐渐变化有关,但一些人表现出对与年龄相关的认知衰退的保护。大脑网络的拓扑特征,促进了对衰老过程中认知能力下降的保护,目前尚不清楚。在这里,我们通过描绘大脑的核心网络结构来调查大脑网络的健壮性和弹性是否与年龄和认知表现有关,在一个健康的中老年成年人(n=478,年龄从40到90岁)的横截面数据集中。首先,我们使用k-壳分解来分解每个受试者的脑功能网络,发现年龄与健壮的核心网络结构负相关。接下来,我们通过攻击模拟来扰乱这些网络,发现核心大脑网络节点的弹性也随着年龄的增长而下降。然后,我们将我们的数据集划分为中年(40岁至65岁,n=300)和老年(65岁至90岁,n=178)受试者,并观察到老年人的核心连接性和弹性较差。根据这些分析,我们发现情节记忆与健壮的连接性和核心韧性呈正相关,特别是在默认的节点、边缘和额顶控制网络中。重要的是,我们发现与年龄相关的情景记忆差异与核心复原力呈正相关,这表明核心复原力在防止认知衰退方面具有潜在的作用。综上所述,这些发现表明,大脑网络强大的核心连通性和弹性可以促进衰老过程中的高认知表现。
Cognitive dysfunction in aging and dementia has been associated with less resilient brain networks that are more sensitive to environmental insults and disease. Here, we set out to identify how robust core connectivity and resilience relate to age and cognition. We discovered that age in healthy adults is negatively related to these variables, while cognitive performance was positively associated with robust connectivity and core resilience, particularly within the default mode, limbic, and frontoparietal control networks. Finally, we found that core resilience and core connectivity mediate age-related differences in episodic memory performance. Together, our results reveal the potential importance of core topology and resilience in human brain networks for cognitive function in healthy middle- and old-aged adults. Aging is associated with gradual changes in cognition, yet some individuals exhibit protection against age-related cognitive decline. The topological characteristics of brain networks that promote protection against cognitive decline in aging are unknown. Here, we investigated whether the robustness and resilience of brain networks, queried via the delineation of the brain’s core network structure, relate to age and cognitive performance in a cross-sectional dataset of healthy middle- and old-aged adults (n = 478, ages 40 to 90 y). First, we decomposed each subject’s functional brain network using k-shell decomposition and found that age was negatively associated with robust core network structures. Next, we perturbed these networks, via attack simulations, and found that resilience of core brain network nodes also declined in relationship to age. We then partitioned our dataset into middle- (ages 40 to 65 y, n = 300) and old- (ages 65 to 90 y, n = 178) aged subjects and observed that older individuals had less robust core connectivity and resilience. Following these analyses, we found that episodic memory was positively related to robust connectivity and core resilience, particularly within the default node, limbic, and frontoparietal control networks. Importantly, we found that age-related differences in episodic memory were positively related to core resilience, which indicates a potential role for core resilience in protection against cognitive decline. Together, these findings suggest that robust core connectivity and resilience of brain networks could facilitate high cognitive performance in aging.
DOI: 10.1523/jneurosci.3874-05.2006
发表时间: 2006-01-04
影响因子: 5.3
作者:
Achard, S;Salvador, R;Bullmore, ET
通讯作者: Bullmore, ET
DOI: 10.1073/pnas.1415122111
发表时间: 2014-11-18
影响因子: 11.1
作者:
Chan, Micaela Y.;Park, Denise C.;Wig, Gagan S.
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DOI: 10.1007/s10548-010-0152-z
发表时间: 2011-01-01
期刊: BRAIN TOPOGRAPHY
影响因子: 2.7
作者:
Fallani, Fabrizio De Vico;Rodrigues, Francisco Aparecido;Babiloni, Fabio
通讯作者: Babiloni, Fabio
DOI: 10.1103/physreve.88.062819
发表时间: 2013-12-30
期刊: PHYSICAL REVIEW E
影响因子: 2.4
作者:
Eidsaa, Marius;Almaas, Eivind
通讯作者: Almaas, Eivind
DOI: 10.1093/brain/awu132
发表时间: 2014-08
期刊: Brain : a journal of neurology
影响因子: --
作者:
Crossley NA;Mechelli A;Scott J;Carletti F;Fox PT;McGuire P;Bullmore ET
通讯作者: Bullmore ET