Candidate Right Locus Coeruleus-Centered Symptom Pathways in Young Major Depressive Disorder: A Multimodal Magnetic Resonance Imaging Study

IF 4 2区 医学 Q1 NEUROIMAGING
Zesong Yuan, Jing Wang, Danian Li, Baohua Cheng, Yingpeng Kuang, Rongyu Zhang, Nana Luo, Shijun Qiu, Yongsheng Chen, Yujie Liu
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Abstract

Major depressive disorder (MDD) involves network-level abnormalities that may reflect dysfunction in catecholaminergic nuclei, particularly the substantia nigra (SN) and locus coeruleus (LC), which regulate cortical gain and signal-to-noise ratio. However, whether MRI-derived SN/LC phenotypes are linked to depressive symptom severity through functional connectivity pathways in young individuals with MDD remains unclear. We studied 84 young participants (MDD, n = 46; controls, n = 38). MRI measures were extracted from the bilateral SN and LC using neuromelanin-sensitive magnetization transfer contrast (MTC) imaging and iron-sensitive quantitative susceptibility mapping (QSM). Seed-to-voxel analyses assessed associations between these phenotypes and resting-state functional connectivity. Graph-theoretical analyses extended functional connectivity findings to global network topology. Mediation analyses tested whether functional connectivity linked SN/LC MRI phenotypes to Hamilton Depression Rating Scale scores within the MDD group. Multiple comparisons were controlled using false discovery rate (FDR) at q < 0.05. Compared with controls, the MDD group exhibited reduced bilateral SN volume on QSM and decreased LC signal intensity on MTC. Neuromelanin- and iron-sensitive phenotypes showed distributed functional connectivity associations involving frontal, sensorimotor, precuneus, and cerebellar regions. Bilateral SN susceptibility showed diagnosis-dependent associations with global efficiency. Mediation analyses identified four candidate right LC functional connectivity pathways linking SN/LC qMRI phenotypes to HAMD scores, mainly involving right LC connectivity with the left precuneus, right paracentral lobule, and cerebellum.SN/LC catecholaminergic MRI phenotypes are associated with depressive severity and right LC-centered functional connectivity, supporting candidate circuit-level associations linking brainstem neuromodulatory phenotypes to clinical expression in MDD.

青年抑郁症以蓝斑为中心的候选右侧症状通路:多模态磁共振成像研究
重度抑郁症(MDD)涉及网络水平的异常,可能反映了儿茶酚胺能核的功能障碍,特别是调节皮质增益和信噪比的黑质(SN)和蓝斑(LC)。然而,mri衍生的SN/LC表型是否通过功能连接途径与年轻MDD患者的抑郁症状严重程度相关仍不清楚。我们研究了84名年轻参与者(重度抑郁症,n = 46;对照组,n = 38)。采用神经黑色素敏感磁化转移对比(MTC)成像和铁敏感定量敏感性成像(QSM)提取双侧SN和LC的MRI测量值。种子到体素分析评估了这些表型与静息状态功能连接之间的关联。图理论分析将功能连通性的发现扩展到全局网络拓扑。中介分析测试了功能连接是否将SN/LC MRI表型与MDD组的汉密尔顿抑郁评定量表评分联系起来。多重比较采用错误发现率(FDR)控制,q < 0.05。与对照组相比,MDD组QSM上双侧SN体积减小,MTC上LC信号强度降低。神经黑色素和铁敏感表型显示分布在额叶、感觉运动、楔前叶和小脑区域的功能连接关联。双侧SN敏感性与总体效率呈诊断依赖关系。中介分析确定了4个将SN/LC qMRI表型与HAMD评分联系起来的候选右侧LC功能连接通路,主要涉及右侧LC与左前叶、右中央旁小叶和小脑的连接。SN/LC儿茶酚胺能MRI表型与抑郁严重程度和右侧LC中心功能连接相关,支持将脑干神经调节表型与MDD临床表达联系起来的候选电路水平关联。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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