首页> 外文期刊>Progress in Neuro-Psychopharmacology & Biological Psychiatry: An International Research, Review and News Journal >The functional and structural connectomes associated with geriatric depression and anxiety symptoms in mild cognitive impairment: Cross-syndrome overlap and generalization
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The functional and structural connectomes associated with geriatric depression and anxiety symptoms in mild cognitive impairment: Cross-syndrome overlap and generalization

机译:与轻度认知障碍中的老年抑郁和焦虑症状相关的功能和结构康策略:横综合征重叠和泛化

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Geriatric depression and anxiety disorders often manifest as neuropsychiatric symptoms among those with mild cognitive impairment. Both tend to co-occur, and overlap in symptomology and etiology. Such commonalities are likely to be reflected in the brain as common neural correlates. Using connectome-based predictive modeling (CPM), we examined the functional and structural connectomes predicting depression and anxiety symptoms, and subsequently the overlap and cross-syndrome generalization of the connectomes associated with either disorder. Ninety-one older adults completed self-reported measures of depression and anxiety, and underwent diffusion tensor imaging and resting-state functional magnetic resonance imaging. Functional connectivity (FC) and structural connectivity (SC) matrices were derived from these scans and, in various combinations, entered into CPM models to predict either type of symptoms. Leave-one-out cross-validation was performed. Predictive accuracy was assessed via the correlation between predicted and observed scores (rho predicted-observed). While FC or SC features alone significantly predicted either type of symptoms, these symptoms were best predicted by models that consisted of both FC and SC features (depression: rho predicted-observed = 0.497; anxiety: rho predicted-observed = 0.455). The features common to depression and anxiety were identified and entered into another model which was similarly accurate in predicting either type of symptoms. Moreover, cross-syndrome generalization was observed- the depression-associated features significantly predicted anxiety symptoms (rho predicted-observed = 0.403) and vice-versa (rho predicted-observed = 0.378). These FC and SC features are complementary biomarkers of geriatric depression and anxiety symptoms. Both types of symptoms are largely underpinned by common patterns of altered FC and SC, alluding to the transdiagnostic neurobiological susceptibility in both disorders.
机译:老年抑郁症和焦虑症通常表现为轻度认知障碍患者的神经精神症状。两者往往同时发生,并且在症状学和病因学上重叠。这些共同点很可能在大脑中反映为共同的神经相关性。使用基于连接组的预测模型(CPM),我们研究了预测抑郁和焦虑症状的功能性和结构性连接组,以及随后与这两种疾病相关的连接组的重叠和交叉综合征。91名老年人完成了自我报告的抑郁和焦虑测量,并接受了扩散张量成像和静息状态功能磁共振成像。从这些扫描中得出功能连接性(FC)和结构连接性(SC)矩阵,并以各种组合输入CPM模型,以预测任一类型的症状。进行了一次遗漏交叉验证。通过预测和观察得分之间的相关性(rho predicted-observed)评估预测准确性。虽然FC或SC特征单独显著预测了这两种类型的症状,但由FC和SC特征组成的模型对这些症状的预测效果最好(抑郁:rho预测-观察=0.497;焦虑:rho预测-观察=0.455)。抑郁症和焦虑症的共同特征被确定,并进入另一个模型,该模型在预测任何一种症状方面都同样准确。此外,观察到交叉综合征的普遍性——抑郁相关特征显著预测焦虑症状(rho预测-观察=0.403),反之亦然(rho预测-观察=0.378)。这些FC和SC特征是老年抑郁症和焦虑症状的互补生物标志物。这两种类型的症状在很大程度上都是由FC和SC改变的共同模式支持的,暗示了这两种疾病的跨诊断神经生物学易感性。

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