Distinct Multimodal Imaging Correlates of Depression in Middle-Aged Adults With and Without a Family History of Alzheimer's Disease

中年人抑郁症的多模态影像学特征与是否有阿尔茨海默病家族史有关

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Abstract

BACKGROUND: Depression is associated with risk for late-onset Alzheimer's disease (LOAD), but its underlying pathogenesis in at-risk individuals remains unclear. We examined multimodal imaging correlates of depressive symptoms in cognitively normal middle-aged offspring of patients with LOAD (O-LOAD) compared with control individuals without LOAD history up to a 4 (th) degree of kinship (HC). METHODS: Participants (n=58; 52±3 years; 74% female) underwent assessment with the Beck Depression Inventory-II (BDI), structural MRI, resting-state fMRI, FDG-PET, and PiB-PET. Resting-state fMRI data were available for 28 O-LOAD and 24 HC; PET data for 24 O-LOAD and 22 HC. General linear models tested associations between imaging measures and BDI, including group interactions. RESULTS: In O-LOAD, higher BDI scores were associated with reduced cortical thickness in the left postcentral gyrus. Resting-state fMRI revealed significant group-by-BDI interactions involving cingulate and orbitofrontal networks. In O-LOAD, greater depressive symptom severity was associated with reduced cingulate connectivity across distributed corticolimbic, prefrontal, insular, occipital, and cerebellar regions (β range -0.10 to -0.18). In HC, depressive symptoms were associated with reduced right orbitofrontal and somatosensory-medial orbitofrontal connectivity (β=-0.13), with divergent patterns of cingulate connectivity. FDG-PET showed no significant associations with depressive symptoms. PiB-PET demonstrated regionally specific associations between amyloid signal and BDI in HC, involving an inverse pattern in anterior and posterior insular cortices. CONCLUSIONS: Depressive symptoms in middle-aged individuals at familial risk for LOAD are associated with distinct structural and functional alterations, involving circuitry subserving salience and reward, and suggesting early network-level mechanisms linking affective symptoms with vulnerability to neurodegeneration.

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