1Department of Psychiatry and Human Behavior,Alpert Medical School,Brown University,Providence,Rhode Island.
2Department of Cognitive,Linguistic,and Psychological Sciences,Brown University,Providence,Rhode Island.
J Int Neuropsychol Soc. 2018 May;24(5):486-497. doi: 10.1017/S1355617717001291. Epub 2017 Dec 28.
Patients with Alzheimer's disease (AD) demonstrate deficits in cross-cortical feature binding distinct from age-related changes in selective attention. This may have consequences for driving performance given its demands on multisensory integration. We examined the relationship of visuospatial search and binding to driving in patients with early AD and elderly controls (EC).
Participants (42 AD; 37 EC) completed search tasks requiring either luminance-motion (L-M) or color-motion (C-M) binding, analogs of within and across visual processing stream binding, respectively. Standardized road test (RIRT) and naturalistic driving data (CDAS) were collected alongside clinical screening measures.
Patients performed worse than controls on most cognitive and driving indices. Visual search and clinical measures were differentially related to driving behavior across groups. L-M search and Trail Making Test (TMT-B) were associated with RIRT performance in controls, while C-M binding, TMT-B errors, and Clock Drawing correlated with CDAS performance in patients. After controlling for demographic and clinical predictors, L-M reaction time significantly predicted RIRT performance in controls. In patients, C-M binding made significant contributions to CDAS above and beyond demographic and clinical predictors. RIRT and C-M binding measures accounted for 51% of variance in CDAS performance in patients.
Whereas selective attention is associated with driving behavior in EC, cross-cortical binding appears most sensitive to driving in AD. This latter relationship may emerge only in naturalistic settings, which better reflect patients' driving behavior. Visual integration may offer distinct insights into driving behavior, and thus has important implications for assessing driving competency in early AD. (JINS, 2018, 24, 486-497).
阿尔茨海默病(AD)患者在跨皮质特征绑定方面表现出缺陷,与选择性注意的年龄相关变化不同。由于对多感官整合的需求,这可能对驾驶性能产生影响。我们研究了早期 AD 患者和老年对照组(EC)的视空间搜索和绑定与驾驶之间的关系。
参与者(42 名 AD;37 名 EC)完成了需要亮度-运动(L-M)或颜色-运动(C-M)绑定的搜索任务,分别模拟了视觉处理流内和跨的绑定。标准道路测试(RIRT)和自然驾驶数据(CDAS)与临床筛查措施一起收集。
患者在大多数认知和驾驶指标上的表现均劣于对照组。视觉搜索和临床指标与两组的驾驶行为存在差异关系。L-M 搜索和 Trail Making Test(TMT-B)与对照组的 RIRT 表现相关,而 C-M 绑定、TMT-B 错误和 Clock Drawing 与患者的 CDAS 表现相关。在控制了人口统计学和临床预测因素后,L-M 反应时间在对照组中显著预测了 RIRT 表现。在患者中,C-M 绑定在考虑了人口统计学和临床预测因素后,对 CDAS 表现有显著贡献。RIRT 和 C-M 绑定测量解释了患者 CDAS 表现的 51%的方差。
选择性注意力与 EC 的驾驶行为相关,而跨皮质绑定似乎对 AD 患者的驾驶最敏感。这种关系可能仅在自然驾驶环境中出现,该环境更能反映患者的驾驶行为。视觉整合可能为驾驶行为提供独特的见解,因此对评估早期 AD 患者的驾驶能力具有重要意义。(JINS,2018,24,486-497)。