持续认知参与干预对认知变异性的影响:突触项目。

Christopher R Brydges, Allison A M Bielak
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引用次数: 5

摘要

背景:近年来,人们对维持老年人的认知能力和生活质量的兴趣大大增加。然而,研究认知参与干预对老年人的有效性的研究是混合的,改善老年人认知的机制是未知的。传统的认知结果测量方法,如平均反应时间,可能由于这些测量方法缺乏敏感性而忽略了潜在的益处。另一种可选的度量是反应速度的个体变异(IIV)(反应时间任务的短期表现变化),它反映了注意力的波动,是神经完整性的敏感行为测量,可预测未来的认知衰退和损伤。目的:目前的研究旨在调查是否通过生产性认知参与(即获得新技能)与接受性参与(依赖于现有知识的活动)相比,老年人的IIV得到改善。方法:参与者是173名年龄在60-90岁之间的典型老年人,他们被招募到突触项目中,随机分配到生产性参与活动(学习盖被子和/或进行数码摄影)或接受性参与活动(社交,或安慰剂认知任务,如完成填字游戏)。参与者在基线和完成14周干预计划后完成了三个侧翼任务。IIV被计算为每个任务中响应一致和不一致试验的试验间变异性。结果:传统的治疗意向和编译器平均因果效应模型分析均未显示任何干预组在iv方面有显著改善。此外,贝叶斯分析表明,有适度的证据支持零假设。结论:强化认知活动干预并没有导致IIV的减少。我们建议,干预方案可能需要特别涉及与iv相关的认知领域(即注意力、执行控制),以观察到改善。此外,其他设计因素,如使用更长的持续时间和/或将干预应用于非典型老龄化群体,如轻度认知障碍患者,可能会增加通过干预显着降低iv的可能性。
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The Impact of a Sustained Cognitive Engagement Intervention on Cognitive Variability: The Synapse Project.

Background: Interest in maintaining one's cognitive ability and quality of life through older adulthood has greatly increased in recent years. However, research examining the effectiveness of cognitive engagement interventions on older adults is mixed and the mechanisms behind improving cognition in older age are unknown. It is possible that traditional measures of cognitive outcomes, such as average reaction time, may overlook potential benefits due to a lack of sensitivity in these measures. One alternative metric is intraindividual variability (IIV) in response speed (short-term variations in performance on reaction time tasks), which reflects fluctuations in attention and is a sensitive behavioral measure of neurological integrity that is predictive of future cognitive decline and impairment.

Objective: The current study aimed to investigate whether IIV was improved in older adults through productive cognitive engagement (i.e., acquisition of new skills) in comparison to receptive engagement (activities that rely upon existing knowledge).

Methods: Participants were 173 typically aging adults aged 60-90 years who were recruited to the Synapse Project and randomly allocated to a productive engagement activity (learning to quilt and/or conduct digital photography) or receptive engagement activity (socializing, or placebo cognitive tasks such as completing crosswords). Participants completed three flanker tasks at baseline and after completing the 14-week intervention program. IIV was calculated as the trial-to-trial variability in responding to congruent and incongruent trials in each task.

Results: Neither traditional intent-to-treat nor complier average causal effect modeling analyses showed any significant improvements in IIV for either intervention group. Further, Bayesian analyses showed that there was moderate evidence in favor of the null hypothesis.

Conclusion: An intensive cognitive activity intervention did not result in a reduction in IIV. We suggest that intervention programs may need to specifically engage cognitive domains associated with IIV (i.e., attention, executive control) for improvements to be observed. Additionally, other design factors such as using a longer duration and/or applying the intervention to atypically aging groups, such as those with mild cognitive impairment, may increase the likelihood of significantly reducing IIV via an intervention.

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