脑功能梯度去分化捕获认知表现和中风发生:英国生物银行研究

IF 4.7 2区 医学 Q1 NEUROIMAGING
Chenye Shen , Chaoqiang Liu , Nanguang Chen , Anqi Qiu
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引用次数: 0

摘要

大脑功能去分化是衰老的一个标志,其特征是大脑活动的特异性降低或网络之间功能连接(FC)的相似性增加。传统上,任务功能磁共振成像研究探索了特定认知域内的功能去分化,而基于fc的方法则侧重于区域连接模式。在这里,我们利用主功能梯度为衰老过程中的功能去分化提供了宏观和综合的视角,为理解其与衰老、认知和疾病的关系提供了一个新的框架。我们使用了来自英国生物银行的脑图像和临床数据,包括23,578名年龄在44-82岁之间的参与者。采用线性回归评估沿主功能梯度的网络去分化与年龄之间的关系,以及正常老龄化人群在六个领域的认知表现。我们测试了年龄、性别和教育之间的相互作用,以评估它们对年龄相关去分化的影响。采用Logistic回归对脑卒中参与者和匹配的正常衰老参与者进行脑卒中分类。我们的研究结果显示,随着年龄的增长,主要功能梯度范围减小,表明所有大脑区域的FC变异性减小。在网络水平上,额顶叶和其他网络之间的去分化与衰老和认知表现密切相关。在多个网络中,雄性比雌性表现出更快的去分化。体运动网络受卒中相关去分化的影响最大。通过协变量匹配亚组的验证证实了这些发现的稳健性。这项研究提供了与年龄相关的脑功能变化的宏观视角,突出了沿主梯度的去分化作为衰老和中风发展的网络敏感指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dedifferentiation of brain functional gradient captures cognition performance and stroke occurrence: A UK Biobank study
Brain functional dedifferentiation, marked by reduced specificity of brain activity or greater similarity of functional connectivity (FC) among networks, is a hallmark of aging. Traditionally, task functional magnetic resonance imaging studies have explored functional dedifferentiation within specific cognitive domains, while FC-based approaches have focused on regional connectivity patterns. Here, we leverage the principal functional gradient to provide a macro-scale and integrative perspective on functional dedifferentiation in aging, offering a novel framework for understanding its relationship with aging, cognition, and disease. We utilized brain images and clinical data from the UK Biobank, comprising 23,578 participants aged 44–82. Linear regression was employed to assess relationships between the network dedifferentiation along the principal functional gradient and age, and cognitive performance across six domains in a normal aging population. We tested interactions between age, sex, and education to assess their influence on age-related dedifferentiation. Logistic regression was applied to classify stroke in participants with stroke and matched normal aging participants. Our findings revealed a reduced principal functional gradient range with age, indicating reduced FC variability of all brain regions. At the network level, the dedifferentiation between the frontoparietal and other networks was strongly linked to aging and cognitive performance. Males exhibited faster dedifferentiation than females across multiple networks. The somatomotor network was most affected by stroke-related dedifferentiation. Validation via covariate-matched subgroups confirmed the robustness of these findings. This research provides macro-scale insights into age-related brain functional changes, highlighting dedifferentiation along the principal gradient as a network-sensitive indicator of aging and the development of stroke.
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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