Schiffman Jason, Mittal Vijay, Kline Emily, Mortensen Erik L, Michelsen Niels, Ekstrøm Morten, Millman Zachary B, Mednick Sarnoff A, Sørensen Holger J
University of Maryland,Baltimore County.
University of Colorado.
Dev Psychopathol. 2015 Nov;27(4 Pt 1):1323-30. doi: 10.1017/S0954579414001436.
Several neurological variables have been investigated as premorbid biomarkers of vulnerability for schizophrenia and other related disorders. The current study examined whether childhood dyspraxia predicted later adult nonaffective-psychosis-spectrum disorders. From a standardized neurological examination performed with children (aged 10-13) at genetic high risk of schizophrenia and controls, several measures of dyspraxia were used to create a scale composed of face/head dyspraxia, oral articulation, ideomotor dyspraxia (clumsiness), and dressing dyspraxia (n = 244). Multinomial logistic regression showed higher scores on the dyspraxia scale predict nonaffective-psychosis-spectrum disorders relative to other psychiatric disorders and no mental illness outcomes, even after controlling for genetic risk, χ2 (4, 244) = 18.61, p < .001. Findings that symptoms of dyspraxia in childhood (reflecting abnormalities spanning functionally distinct brain networks) specifically predict adult nonaffective-psychosis-spectrum disorders are consistent with a theory of abnormal connectivity, and they highlight a marked early-stage vulnerability in the pathophysiology of nonaffective-psychosis-spectrum disorders.
作为精神分裂症和其他相关疾病易感性的病前生物标志物,已有多项神经学变量得到研究。本研究考察了儿童期运动障碍是否能预测成年后非情感性精神病谱系障碍。从对精神分裂症遗传高危儿童(10至13岁)和对照组儿童进行的标准化神经学检查中,采用了多项运动障碍测量指标来构建一个量表,该量表由面部/头部运动障碍、口腔发音、观念运动性运动障碍(笨拙)和穿衣运动障碍组成(n = 244)。多项逻辑回归分析显示,即使在控制了遗传风险之后,运动障碍量表得分较高仍能预测相对于其他精神疾病和无精神疾病结局的非情感性精神病谱系障碍,χ2(4, 244) = 18.61,p <.001。童年期运动障碍症状(反映跨越功能不同脑网络的异常)能特异性预测成年后非情感性精神病谱系障碍的这一发现与异常连接理论一致,并且突出了非情感性精神病谱系障碍病理生理学中明显的早期易感性。