Calkins Monica E, Merikangas Kathleen R, Moore Tyler M, Burstein Marcy, Behr Meckenzie A, Satterthwaite Theodore D, Ruparel Kosha, Wolf Daniel H, Roalf David R, Mentch Frank D, Qiu Haijun, Chiavacci Rosetta, Connolly John J, Sleiman Patrick M A, Gur Ruben C, Hakonarson Hakon, Gur Raquel E
University of Pennsylvania, Department of Psychiatry, Neuropsychiatry Section, Perelman School of Medicine, PA, United States.
National Institute of Mental Health, Genetic Epidemiology Research Branch, Intramural Research Program, Bethesda, MD, United States.
J Child Psychol Psychiatry. 2015 Dec;56(12):1356-1369. doi: 10.1111/jcpp.12416. Epub 2015 Apr 8.
An integrative multidisciplinary approach is required to elucidate the multiple factors that shape neurodevelopmental trajectories of mental disorders. The Philadelphia Neurodevelopmental Cohort (PNC), funded by the National Institute of Mental Health Grand Opportunity (GO) mechanism of the American Recovery and Reinvestment Act, was designed to characterize clinical and neurobehavioral phenotypes of genotyped youths. Data generated, which are recently available through the NIMH Database of Genotypes and Phenotypes (dbGaP), have garnered considerable interest. We provide an overview of PNC recruitment and clinical assessment methods to allow informed use and interpretation of the PNC resource by the scientific community. We also evaluate the structure of the assessment tools and their criterion validity.
Participants were recruited from a large pool of youths (n = 13,958) previously identified and genotyped at The Children's Hospital of Philadelphia. A comprehensive computerized tool for structured evaluation of psychopathology domains (GOASSESS) was constructed. We administered GOASSESS to all participants and used factor analysis to evaluate its structure.
A total of 9,498 youths (aged 8-21; mean age = 14.2; European American = 55.8%; African American = 32.9%; Other = 11.4%) were enrolled. Factor analysis revealed a strong general psychopathology factor, and specific 'anxious-misery', 'fear', and 'behavior' factors. The 'behavior' factor had a small negative correlation (-0.21) with overall accuracy of neurocognitive performance, particularly in tests of executive and complex reasoning. Being female had a high association with the 'anxious-misery' and low association with the 'behavior' factors. The psychosis spectrum was also best characterized by a general factor and three specific factors: ideas about 'special abilities/persecution,' 'unusual thoughts/perceptions', and 'negative/disorganized' symptoms.
The PNC assessment mechanism yielded psychopathology data with strong factorial validity in a large diverse community cohort of genotyped youths. Factor scores should be useful for dimensional integration with other modalities (neuroimaging, genomics). Thus, PNC public domain resources can advance understanding of complex inter-relationships among genes, cognition, brain, and behavior involved in neurodevelopment of common mental disorders.
需要一种综合的多学科方法来阐明影响精神障碍神经发育轨迹的多种因素。由美国复苏与再投资法案的国立精神卫生研究所重大机遇(GO)机制资助的费城神经发育队列(PNC)旨在对基因分型青少年的临床和神经行为表型进行特征描述。最近通过国立精神卫生研究所基因型和表型数据库(dbGaP)获得的数据引起了广泛关注。我们概述了PNC的招募和临床评估方法,以便科学界能够明智地使用和解读PNC资源。我们还评估了评估工具的结构及其效标效度。
参与者从费城儿童医院先前识别并进行基因分型的大量青少年(n = 13,958)中招募。构建了一个用于精神病理学领域结构化评估的综合计算机化工具(GOASSESS)。我们对所有参与者进行了GOASSESS评估,并使用因子分析来评估其结构。
共招募了9498名青少年(年龄8 - 21岁;平均年龄 = 14.2岁;非裔美国人占32.9%;其他占11.4%)。因子分析揭示了一个强大的一般精神病理学因子,以及特定的“焦虑痛苦”、“恐惧”和“行为”因子。“行为”因子与神经认知表现的总体准确性呈小的负相关(-0.21),特别是在执行和复杂推理测试中。女性与“焦虑痛苦”因子高度相关,与“行为”因子低度相关。精神病谱系也最好由一个一般因子和三个特定因子来表征:关于“特殊能力/迫害”、“异常思维/感知”和“阴性/紊乱”症状的想法。
PNC评估机制在一个大型多样化的基因分型青少年社区队列中产生了具有强大因子效度的精神病理学数据。因子得分应有助于与其他模式(神经影像学、基因组学)进行维度整合。因此,PNC公共领域资源可以促进对常见精神障碍神经发育中基因、认知、大脑和行为之间复杂相互关系的理解。