Athletic Training Research Laboratory, Department of Health, Nutrition & Exercise Sciences, University of Delaware, 159 Fred Rust Ice Arena, 541 South College Avenue, Newark, DE 19716, USA.
J Clin Exp Neuropsychol. 2009 Aug;31(6):689-97. doi: 10.1080/13803390802484771. Epub 2008 Dec 28.
Computerized neuropsychological (NP) testing has evolved into an important tool for clinicians in the assessment of sport-related concussions. The importance of having a reliable baseline test score for comparison post concussion is critical; yet, the stability of these baseline measurements has not been well established. The purpose of this study was to examine the consistency of the measurements derived from the Automated Neuropsychological Assessment Metric (ANAM) test battery over a series of repeated trials, in an attempt to determine at what point the test scores stabilized. A cohort of 25 recreationally active collegiate students, free from mild head injury, volunteered for the study. Throughput score (measures of performance efficiency) stability was assessed for the computerized NP tests using intraclass correlation coefficients (ICCs). Average throughput scores for all five test trials were simple reaction time (SRT) = 235, matching to sample (MSP) = 41, continuous performance test (CPT) = 108, math processing (MTH) = 24, and Sternberg memory (STN) = 89, and these are within the range of those previously reported. Results show that all four of the ICCs were in the excellent range of agreement (i.e., > or = .75), and more importantly, the statistical comparisons of the ICCs show that there was no significant difference between the ICCs. Consequently, results serve to show that two time periods are sufficient to obtain stable NP results, and thus clinicians can feel comfortable relying on a two-score baseline test for follow-up comparison.
计算机化神经心理学（NP）测试已成为临床医生评估与运动相关的脑震荡的重要工具。拥有可靠的基线测试分数以便在脑震荡后进行比较非常重要；然而，这些基线测量的稳定性尚未得到充分证实。本研究的目的是检查自动化神经心理评估度量（ANAM）测试系列中多次重复试验得出的测量值的一致性，以确定测试分数何时稳定。一组 25 名无轻度头部受伤的休闲大学生自愿参加了这项研究。使用组内相关系数（ICC）评估计算机化 NP 测试的吞吐量得分（衡量绩效效率的指标）稳定性。所有五次测试的平均吞吐量得分分别为简单反应时间（SRT）= 235、匹配样本（MSP）= 41、连续性能测试（CPT）= 108、数学处理（MTH）= 24 和斯特恩伯格记忆（STN）= 89，这些都在之前报告的范围内。结果表明，所有四个 ICC 都处于极好的一致性范围（即，>或=.75），更重要的是，ICC 的统计比较表明 ICC 之间没有显着差异。因此，结果表明两个时间段足以获得稳定的 NP 结果，因此临床医生可以放心依靠两次评分的基线测试进行后续比较。
