PDF(Pubmed)
Abstract：
Smooth pursuit eye movements are considered a well-established and quantifiable biomarker of sensorimotor function in psychosis research. Identifying psychotic syndromes on an individual level based on neurobiological markers is limited by heterogeneity and requires comprehensive external validation to avoid overestimation of prediction models. Here, we studied quantifiable sensorimotor measures derived from smooth pursuit eye movements in a large sample of psychosis probands (N = 674) and healthy controls (N = 305) using multivariate pattern analysis. Balanced accuracies of 64% for the prediction of psychosis status are in line with recent results from other large heterogenous psychiatric samples. They are confirmed by external validation in independent large samples including probands with (1) psychosis (N = 727) versus healthy controls (N = 292), (2) psychotic (N = 49) and non-psychotic bipolar disorder (N = 36), and (3) non-psychotic affective disorders (N = 119) and psychosis (N = 51) yielding accuracies of 65%, 66% and 58%, respectively, albeit slightly different psychosis syndromes. Our findings make a significant contribution to the identification of biologically defined profiles of heterogeneous psychosis syndromes on an individual level underlining the impact of sensorimotor dysfunction in psychosis.
摘要：
在精神病研究中，平滑的眼球运动被认为是感觉运动功能的公认且可量化的生物标志物。基于神经生物学标志物在个体水平上识别精神病综合征受到异质性的限制，需要全面的外部验证以避免对预测模型的高估。这里,我们使用多变量模式分析研究了大量精神病先证者(N=674)和健康对照(N=305)样本中来自平稳追踪眼球运动的可量化感觉运动测量值.预测精神病状况的64％的平衡准确性与其他大型异质精神病样本的最新结果一致。通过独立大样本的外部验证，包括（1）精神病（N=727）与健康对照（N=292）的先证者，（2）精神病性（N=49）和非精神病性双相情感障碍（N=36），和（3）非精神病性情感障碍（N=119）和精神病（N=51）的准确率为65％，66%和58%,分别,尽管精神病综合症略有不同。我们的发现为在个体水平上识别异质性精神病综合征的生物学定义特征做出了重大贡献，强调了精神病中感觉运动功能障碍的影响。
