Department of Psychiatry, Neuropsychiatry Section, University of Pennsylvania, School of Medicine, Philadelphia, PA 19104, USA.
Am J Geriatr Psychiatry. 2012 Jan;20(1):41-52. doi: 10.1097/JGP.0b013e3182051a7d.
Computerized neurocognitive batteries based on advanced behavioral neuroscience methods are increasingly used in large-scale clinical and genomic studies. Favorable construct validity in younger schizophrenia patients has been reported, but not in older patients. New variables afforded by computerized assessments were used to clarify age-associated cognitive impairment across the lifespan.
624 patients with schizophrenia and 624 healthy comparison (HC) subjects age 16-75 completed a 1-2-hour computerized neurocognitive battery (CNB) that assessed abstraction and mental flexibility, attention, working memory, recognition memory (verbal, facial, spatial), language, visuospatial, and emotion processing. Linear mixed effects models tested for group differences in accuracy, response time, and efficiency scores. Contrasts were stratified by age.
91% of older (45+) and 94% of younger (< 45) groups provided "good" data quality. After controlling for parental education and project, there were significant three-way interactions for diagnosis x domain x age group on all three outcome variables. Patients performed worse than HC across all neurocognitive domains, except in the oldest group of 60+ patients. Age-stratified analyses did not show differences between younger (16-45) and older patients (45-60, 60+), except for the attention domain. Older patients' reduced working memory efficiency was due to worse speed, not accuracy. Older patients were quicker than younger patients in processing emotions.
Computerized assessments are feasible in large cohorts of schizophrenia patients. There is stable and generalized neurocognitive dysfunction across the lifespan in schizophrenia, albeit with fewer differences in some domains between older patients and HC after age 60. Speed-accuracy tradeoff strategies suggest deceleration of some frontal networks and improvements in speed of emotional processing.
基于先进行为神经科学方法的计算机化神经认知测试在大型临床和基因组研究中越来越多地被使用。在年轻的精神分裂症患者中,已经报道了良好的结构效度,但在老年患者中则没有。利用计算机化评估提供的新变量,阐明了整个生命周期中与年龄相关的认知障碍。
624 名精神分裂症患者和 624 名健康对照(HC)受试者(年龄 16-75 岁)完成了 1-2 小时的计算机化神经认知测试(CNB),评估了抽象和思维灵活性、注意力、工作记忆、识别记忆(言语、面部、空间)、语言、视空间和情绪处理。线性混合效应模型测试了组间在准确性、反应时间和效率得分上的差异。对比按年龄分层。
91%的老年(45 岁以上)和 94%的年轻(<45 岁)组提供了“良好”的数据质量。在控制了父母教育和项目后,在所有三个结果变量上,诊断 x 域 x 年龄组之间存在显著的三向交互作用。与 HC 相比,所有神经认知领域的患者表现都较差,除了年龄最大的 60 岁以上组。年龄分层分析显示,除了注意力领域外,年轻(16-45 岁)和老年(45-60 岁、60 岁以上)患者之间没有差异。老年患者的工作记忆效率降低是由于速度较慢,而不是准确性。老年患者在处理情绪方面比年轻患者更快。
计算机化评估在精神分裂症患者的大样本中是可行的。在精神分裂症患者中,存在稳定和普遍的神经认知功能障碍,尽管在 60 岁以后,一些领域中老年患者和 HC 之间的差异较小。速度准确性权衡策略表明,一些额叶网络的减速和情绪处理速度的提高。