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开发基于网络摄像头采集和人工智能的神经发育遗传综合征社会和认知表现评估方法。

Development of webcam-collected and artificial-intelligence-derived social and cognitive performance measures for neurodevelopmental genetic syndromes.

机构信息

Department of Psychology, John Carroll University, University Heights, Ohio, USA.

Departments of Pediatrics and Psychiatry, SUNY Upstate Medical University, Syracuse, New York, USA.

出版信息

Am J Med Genet C Semin Med Genet. 2023 Sep;193(3):e32058. doi: 10.1002/ajmg.c.32058. Epub 2023 Aug 3.

Abstract

This study focused on the development and initial psychometric evaluation of a set of online, webcam-collected, and artificial intelligence-derived patient performance measures for neurodevelopmental genetic syndromes (NDGS). Initial testing and qualitative input was used to develop four stimulus paradigms capturing social and cognitive processes, including social attention, receptive vocabulary, processing speed, and single-word reading. The paradigms were administered to a sample of 375 participants, including 163 with NDGS, 56 with idiopathic neurodevelopmental disability (NDD), and 156 neurotypical controls. Twelve measures were created from the four stimulus paradigms. Valid completion rates varied from 87 to 100% across measures, with lower but adequate completion rates in participants with intellectual disability. Adequate to excellent internal consistency reliability (α = 0.67 to 0.95) was observed across measures. Test-retest reproducibility at 1-month follow-up and stability at 4-month follow-up was fair to good (r = 0.40-0.73) for 8 of the 12 measures. All gaze-based measures showed evidence of convergent and discriminant validity with parent-report measures of other cognitive and behavioral constructs. Comparisons across NDGS groups revealed distinct patterns of social and cognitive functioning, including people with PTEN mutations showing a less impaired overall pattern and people with SYNGAP1 mutations showing more attentional, processing speed, and social processing difficulties relative to people with NFIX mutations. Webcam-collected performance measures appear to be a reliable and potentially useful method for objective characterization and monitoring of social and cognitive processes in NDGS and idiopathic NDD. Additional validation work, including more detailed convergent and discriminant validity analyses and examination of sensitivity to change, is needed to replicate and extend these observations.

摘要

本研究专注于开发和初步心理计量评估一套在线、网络摄像头采集和人工智能衍生的神经发育遗传综合征 (NDGS) 患者表现测量。初始测试和定性投入用于开发四个刺激范式,捕捉社会和认知过程,包括社会注意力、接受性词汇、处理速度和单字阅读。该范式应用于包括 163 名 NDGS 患者、56 名特发性神经发育障碍 (NDD) 患者和 156 名神经典型对照组在内的 375 名参与者样本。从四个刺激范式中创建了 12 个测量。在所有测量中,有效完成率从 87%到 100%不等,在智力障碍参与者中,完成率较低但尚可。所有测量的内部一致性可靠性都在可接受到优秀水平 (α=0.67 到 0.95)。在 1 个月的随访中,8 项测量中有 12 项的测试重测再现性和 4 个月随访中的稳定性为中等至良好 (r=0.40-0.73)。所有基于注视的测量都与其他认知和行为结构的父母报告测量具有良好的收敛和区分效度。NDGS 组之间的比较揭示了社会和认知功能的不同模式,包括 PTEN 突变患者整体表现受损较小,而 SYNGAP1 突变患者注意力、处理速度和社交处理困难相对 NFIX 突变患者更多。网络摄像头采集的表现测量似乎是一种可靠且潜在有用的方法,可用于客观描述和监测 NDGS 和特发性 NDD 的社会和认知过程。需要进行更多的验证工作,包括更详细的收敛和区分效度分析以及对变化敏感性的检查,以复制和扩展这些观察结果。

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