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A Connectome-wide Functional Signature of Transdiagnostic Risk for Mental Illness

机译:跨诊断风险的跨性型功能签名的精神疾病

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BackgroundHigh rates of comorbidity, shared risk, and overlapping therapeutic mechanisms have led psychopathology research toward transdiagnostic dimensional investigations of clustered symptoms. One influential framework accounts for these transdiagnostic phenomena through a single general factor, sometimes referred to as the p factor, associated with risk for all common forms of mental illness. MethodsWe build on previous research identifying unique structural neural correlates of the p factor by conducting a data-driven analysis of connectome-wide intrinsic functional connectivity (n?= 605). ResultsWe demonstrate that higher p factor scores and associated risk for common mental illness maps onto hyperconnectivity between visual association cortex and both frontoparietal and default mode networks. ConclusionsThese results provide initial evidence that the transdiagnostic risk for common forms of mental illness is associated with patterns of inefficient connectome-wide intrinsic connectivity between visual association cortex and networks supporting executive control and self-referential processes, networks that are often impaired across categorical disorders.
机译:合并症,共同风险和重叠治疗机制的背景高速公路对细胞症状的转型症状尺寸调查引起了精神病理学研究。一种有影响力的框架通过单一的一般因素来占这些转诊现象,有时被称为P因子,与所有常见形式的精神疾病形式有关。方法网络基于先前的研究,通过进行连接的固有内在功能连接的数据驱动分析来识别P因子的独特结构神经相关性(n?= 605)。结果我们展示了较高的P因子分数和常见精神疾病的相关风险在Visual Association Cortex和默认模式网络之间的超连接性上。结论结果提供了初步证据,即常见形式的精神疾病的跨诊断风险与视觉关联皮层和支持执行控制和自我参照过程之间的网络之间的无效内在连接模式有关,横跨分类障碍往往受损的网络。

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