Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Department of Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
JAMA Psychiatry. 2014 Apr;71(4):366-74. doi: 10.1001/jamapsychiatry.2013.4190.
Psychosis-risk studies have examined help-seeking adolescents and young adults. Population-based studies evaluating psychotic symptoms and neurocognitive performance across childhood are needed for "growth charting" cognitive development. We hypothesized that psychosis spectrum youths have delayed neurocognitive age relative to chronological age. We expected larger lags with increased symptom severity and in late adolescence and early adulthood.
To examine neurocognitive age and compare typically developing participants with psychosis spectrum participants.
DESIGN, SETTING, AND PARTICIPANTS: The Philadelphia Neurodevelopmental Cohort is a genotyped sample, with electronic medical records, enrolled in the study of brain behavior. In an academic and children's hospital health care network, a structured psychiatric evaluation was performed and a computerized neurocognitive battery administered to evaluate performance in several domains. From 18,344 youths in the recruitment pool who were aged 8 to 21 years, physically and cognitively capable of participating, and proficient in English, participants were randomly selected with stratification for age, sex, and ethnicity. A total of 9138 participants were enrolled in the study between November 1, 2009, and November 30, 2011, and 2321 endorsed psychotic symptoms: 1423 significant (psychosis spectrum) and 898 limited (psychosis limited). They had no comorbid medical conditions. They were compared with 981 participants endorsing significant other psychiatric symptoms and with 1963 typically developing children with no psychiatric or medical disorders.
The computerized neurocognitive battery provides accuracy and speed measures on 12 tests and speed measures alone on 2, yielding 26 measures used in a regression analysis to predict chronological age. Prediction was performed on the entire set and separately for each domain (executive, episodic memory, complex cognition, social cognition, and sensorimotor speed).
Throughout childhood and adolescence, the psychosis spectrum group had lower predicted age compared with the typically developing group and the group with other psychiatric symptoms. The psychosis spectrum group had a greater developmental lag than the psychosis limited group. The lags were most pronounced for complex cognition and social cognition and were smallest for sensorimotor speed.
Individuals who endorse psychotic symptoms are neurocognitively delayed across the age range; this delay relates to symptom severity and is not prominent in other psychiatric disorders. Combined clinical and neurocognitive assessment can facilitate early detection and targeted intervention to delay or ameliorate disease progression.
精神病风险研究已经研究了寻求帮助的青少年和年轻人。需要进行基于人群的研究,以评估整个儿童期的精神病症状和神经认知表现,从而为“生长图表”认知发展提供依据。我们假设精神病谱系青少年的神经认知年龄相对于实际年龄有延迟。我们预计,随着症状严重程度的增加以及在青春期晚期和成年早期,差距会更大。
检查神经认知年龄,并比较具有精神病谱系的参与者和典型发展的参与者。
设计、设置和参与者:费城神经发育队列是一个经过基因分型的样本,有电子病历,参加了大脑行为研究。在一个学术和儿童医院的医疗保健网络中,进行了结构化的精神病评估,并进行了计算机化的神经认知测试,以评估几个领域的表现。从招募池中的 18344 名 8 至 21 岁的、身体和认知能力能够参与以及精通英语的青少年中,通过年龄、性别和种族进行分层随机选择参与者。共有 9138 名参与者于 2009 年 11 月 1 日至 2011 年 11 月 30 日参加了这项研究,其中 2321 名参与者自述有精神病症状:1423 名有显著精神病症状(精神病谱系)和 898 名有局限精神病症状(精神病局限)。他们没有合并的医疗条件。他们与 981 名自述有显著其他精神症状的参与者和 1963 名没有精神或医学障碍的典型发育儿童进行了比较。
计算机化的神经认知测试提供了 12 项测试的准确性和速度测量值,以及另外 2 项测试的速度测量值,共 26 项测量值用于回归分析,以预测实际年龄。在整个数据集和每个域(执行、情节记忆、复杂认知、社会认知和感觉运动速度)上都进行了预测。
在整个儿童期和青春期,精神病谱系组的预测年龄低于典型发育组和有其他精神症状组。精神病谱系组的发育差距大于精神病局限组。复杂认知和社会认知的差距最为明显,而感觉运动速度的差距最小。
自述有精神病症状的个体在整个年龄段的神经认知上都有延迟;这种延迟与症状严重程度有关,在其他精神障碍中并不明显。结合临床和神经认知评估可以促进早期发现和有针对性的干预,以延迟或改善疾病进展。