Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Department of Brain and Cognitive Sciences, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
Sci Rep. 2019 Jan 31;9(1):1102. doi: 10.1038/s41598-018-37709-x.
Various mental disorders are accompanied by some degree of cognitive impairment. Particularly in neurodegenerative disorders, cognitive impairment is the phenotypical hallmark of the disease. Effective, accurate and timely cognitive assessment is key to early diagnosis of this family of mental disorders. Current standard-of-care techniques for cognitive assessment are primarily paper-based, and need to be administered by a healthcare professional; they are additionally language and education-dependent and typically suffer from a learning bias. These tests are thus not ideal for large-scale pro-active cognitive screening and disease progression monitoring. We developed the Integrated Cognitive Assessment (referred to as CGN_ICA), a 5-minute computerized cognitive assessment tool based on a rapid visual categorization task, in which a series of carefully selected natural images of varied difficulty are presented to participants. Overall 448 participants, across a wide age-range with different levels of education took the CGN_ICA test. We compared participants' CGN_ICA test results with a variety of standard pen-and-paper tests, such as Symbol Digit Modalities Test (SDMT) and Montreal Cognitive Assessment (MoCA), that are routinely used to assess cognitive performance. CGN_ICA had excellent test-retest reliability, showed convergent validity with the standard-of-care cognitive tests used here, and demonstrated to be suitable for micro-monitoring of cognitive performance.
各种精神障碍都伴随着一定程度的认知障碍。特别是在神经退行性疾病中，认知障碍是该类精神障碍的表型标志。有效的、准确的和及时的认知评估是这类精神障碍早期诊断的关键。目前认知评估的标准护理技术主要基于纸质，需要由医疗保健专业人员进行管理；它们还依赖于语言和教育，并且通常存在学习偏差。因此，这些测试并不适合大规模的主动认知筛查和疾病进展监测。我们开发了综合认知评估（简称 CGN_ICA），这是一种基于快速视觉分类任务的 5 分钟计算机化认知评估工具，其中向参与者呈现一系列经过精心挑选的不同难度的自然图像。共有 448 名参与者，年龄范围广泛，教育程度不同，参加了 CGN_ICA 测试。我们将参与者的 CGN_ICA 测试结果与各种标准的纸笔测试进行了比较，如符号数字模态测试（SDMT）和蒙特利尔认知评估（MoCA），这些测试常用于评估认知表现。CGN_ICA 具有出色的重测信度，与这里使用的标准护理认知测试具有良好的相关性，并且证明适用于认知表现的微监测。
