Structure-function coupling using fixel-based analysis and functional magnetic resonance imaging in Alzheimer's disease and mild cognitive impairment.

IF 3.4 3区 医学 Q2 NEUROSCIENCES
Network Neuroscience Pub Date : 2025-07-29 eCollection Date: 2025-01-01 DOI:10.1162/netn_a_00461
Charly Hugo Alexandre Billaud, Junhong Yu
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引用次数: 0

Abstract

Functional MRI (fMRI) and diffusion-weighted imaging (DWI) help explore correlations between structural connectivity (SC) and functional connectivity (FC; SC-FC coupling). Studies on mild cognitive impairment (MCI) and Alzheimer's disease (AD) observed coupling disruptions, co-occurring with cognitive decline. Advanced "fixel-based" analyses improved DWI's accuracy in assessing microstructural and macrostructural features of white matter (WM), but previous aging coupling studies commonly defined SC via tensor-based tractography and streamline counts, thereby missing fiber-specific information. We investigated different types of fixel-FC coupling and their relation to cognition in 392 participants (Agemean = 73; 207 females) from the ADNI. Two hundred twenty-five controls, 142 MCI, and 25 AD with diffusion-weighted and resting-state fMRI scans were analyzed. Structural connectomes were constructed using average fixel metrics (fiber density (FD), fiber-bundle cross-section log, and combined [FDC]) as edges. SC-FC coupling for each SC metric was calculated at overall network, edge, and node levels. Overall DMN, node- and edge-specific coupling differences were found across SC measures and groups. DMN nodal coupling significantly predicted Mini-Mental Status Examination score and verbal memory. In conclusion, different types of fixel-based coupling alterations can be observed across the neurocognitive aging spectrum, in particular, FD-FC and FDC-FC coupling between DMN regions are associated with cognitive functioning.

结构-功能耦合在阿尔茨海默病和轻度认知障碍中的应用。
功能磁共振成像(fMRI)和弥散加权成像(DWI)有助于探索结构连通性(SC)和功能连通性(FC; SC-FC耦合)之间的相关性。对轻度认知障碍(MCI)和阿尔茨海默病(AD)的研究发现,耦合中断与认知能力下降共同发生。先进的“基于固定”的分析提高了DWI在评估白质(WM)微观结构和宏观结构特征方面的准确性,但之前的老化耦合研究通常通过基于张量的束状图和流线计数来定义SC,因此缺少纤维特异性信息。我们调查了来自ADNI的392名参与者(平均年龄73人,女性207人)不同类型的固定- fc耦合及其与认知的关系。225例对照,142例MCI和25例AD患者进行弥散加权和静息状态fMRI扫描分析。结构连接体使用平均固定指标(纤维密度(FD)、纤维束截面测井和组合[FDC])作为边缘。在整个网络、边缘和节点级别计算每个SC度量的SC- fc耦合。总体DMN,节点和边缘特异性耦合差异在SC措施和组中被发现。DMN节点耦合对迷你精神状态考试分数和言语记忆有显著预测作用。综上所述,在整个神经认知衰老谱中可以观察到不同类型的基于固定细胞的耦合改变,特别是DMN区域之间的FD-FC和FDC-FC耦合与认知功能相关。
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来源期刊
Network Neuroscience
Network Neuroscience NEUROSCIENCES-
CiteScore
6.40
自引率
6.40%
发文量
68
审稿时长
16 weeks
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