Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
China National Clinical Research Center for Neurological Diseases, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Neuroimage. 2024 Oct 1;299:120847. doi: 10.1016/j.neuroimage.2024.120847. Epub 2024 Sep 13.
Increased efforts in neuroscience seek to understand how macro-anatomical and physiological connectomes cooperatively work to generate cognitive behaviors. However, the structure-function coupling characteristics in normal aging individuals remain unclear. Here, we developed an index, the Coupling in Brain Structural connectome and Functional connectome (C-BSF) index, to quantify regional structure-function coupling in a large community-based cohort. C-BSF used diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (fMRI) data from the Polyvascular Evaluation for Cognitive Impairment and Vascular Events study (PRECISE) cohort (2007 individuals, age: 61.15 ± 6.49 years) and the Sydney Memory and Ageing Study (MAS) cohort (254 individuals, age: 83.45 ± 4.33 years). We observed that structure-function coupling was the strongest in the visual network and the weakest in the ventral attention network. We also observed that the weaker structure-function coupling was associated with increased age and worse cognitive level of the participant. Meanwhile, the structure-function coupling in the visual network was associated with the visuospatial performance and partially mediated the connections between age and the visuospatial function. This work contributes to our understanding of the underlying brain mechanisms by which aging affects cognition and also help establish early diagnosis and treatment approaches for neurological diseases in the elderly.
神经科学领域的研究工作不断增加,旨在了解宏观解剖和生理连接组如何协同工作以产生认知行为。然而,正常衰老个体的结构-功能耦合特征尚不清楚。在这里,我们开发了一个指标,即脑结构连接体和功能连接体的耦合指数(C-BSF),用于量化基于社区的大型队列中的区域结构-功能耦合。C-BSF 使用弥散张量成像(DTI)和来自血管性认知障碍和血管事件评估的多血管评估认知障碍和血管事件研究(PRECISE)队列(2007 人,年龄:61.15±6.49 岁)和悉尼记忆和衰老研究(MAS)队列(254 人,年龄:83.45±4.33 岁)的静息态功能磁共振成像(fMRI)数据。我们观察到,结构-功能耦合在视觉网络中最强,在腹侧注意网络中最弱。我们还观察到,较弱的结构-功能耦合与年龄的增加和参与者认知水平的下降有关。同时,视觉网络中的结构-功能耦合与视空间表现有关,并部分介导了年龄与视空间功能之间的关系。这项工作有助于我们理解衰老影响认知的潜在大脑机制,并有助于为老年人的神经疾病建立早期诊断和治疗方法。