Virtual Reality Assessment of Attention Deficits in Traumatic Brain Injury: Effectiveness and Ecological Validity

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
A. Malegiannaki, Evangelia Garefalaki, Nikolaos Pellas, M. Kosmidis
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Abstract

Early detection is crucial for addressing attention deficits commonly associated with Traumatic brain injury (TBI), informing effective rehabilitation planning and intervention. While traditional neuropsychological assessments have been conventionally used to evaluate attention deficits, their limited ecological validity presents notable challenges. This study explores the efficacy and validity of a novel virtual reality test, the Computerized Battery for the Assessment of Attention Disorders (CBAAD), among a cohort of TBI survivors (n = 20), in comparison to a healthy control group (n = 20). Participants, ranging in age from 21 to 62 years, were administered a comprehensive neuropsychological assessment, including the CBAAD and the Attention Related Cognitive Errors Scale. While variations in attentional performance were observed across age cohorts, the study found no statistically significant age-related effects within either group. The CBAAD demonstrated sensitivity to attentional dysfunction in the TBI group, establishing its value as a comprehensive test battery for assessing attention in this specific population. Regression analyses demonstrated the CBAAD’s effectiveness in predicting real-life attentional errors reported by TBI patients. In summary, the CBAAD demonstrates sensitivity to attentional dysfunction in TBI patients and the ability to predict real-world attentional errors, establishing its value as a comprehensive test battery for assessing attention in this specific population. Its implementation holds promise for enhancing the early identification of attentional impairments and facilitating tailored rehabilitation strategies for TBI patients.
创伤性脑损伤患者注意力缺陷的虚拟现实评估:有效性和生态有效性
早期发现对于解决与创伤性脑损伤(TBI)常见的注意力缺陷至关重要,可为有效的康复规划和干预提供依据。虽然传统的神经心理学评估一直被用于评估注意力缺陷,但其有限的生态有效性带来了显著的挑战。本研究探讨了一种新型虚拟现实测试--注意力障碍评估计算机化电池(CBAAD)--与健康对照组(20 人)相比,在一组 TBI 幸存者(20 人)中的功效和有效性。参与者的年龄从 21 岁到 62 岁不等,他们接受了全面的神经心理学评估,包括注意力障碍评估测试工具和注意力相关认知错误量表。虽然不同年龄组的注意力表现存在差异,但研究发现这两个组别在统计学上都没有明显的年龄相关效应。注意力相关认知错误量表(CBAAD)对创伤性脑损伤组的注意力功能障碍具有敏感性,从而确立了其作为评估这一特殊人群注意力的综合测试组合的价值。回归分析表明,CBAAD 能有效预测 TBI 患者报告的现实生活中的注意力错误。总之,CBAAD 显示了对 TBI 患者注意力功能障碍的敏感性和预测真实世界注意力错误的能力,从而确立了其作为评估这类特殊人群注意力的综合测试组合的价值。它的实施有望加强对注意力障碍的早期识别,并促进为创伤性脑损伤患者量身定制康复策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
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