Cognitive and Neural Effects of Vision-Based Speed-of-Processing Training in Older Adults with Amnestic Mild Cognitive Impairment: A Pilot Study.
Cognitive and Neural Effects of Vision-Based Speed-of-Processing Training in Older Adults with Amnestic Mild Cognitive Impairment: A Pilot Study.
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DOI：
10.1111/jgs.14132
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发表时间：
2016-06
影响因子：
6.3
通讯作者：
Tadin D
中科院分区：
文献类型：
--
作者：
Lin F;Heffner KL;Ren P;Tivarus ME;Brasch J;Chen DG;Mapstone M;Porsteinsson AP;Tadin D
基于视觉的处理速度（VSOP）训练是一种有前途的老年人认知干预。然而，目前尚不清楚VSOP训练是否会影响痴呆症高危人群的认知过程。在这里，我们研究了VSOP训练对遗忘型轻度认知障碍（aMCI）老年人的认知和神经影响，并将这些影响与积极控制（精神休闲活动; MLA）进行了对比。一项随机单盲对照初步试验。学术医疗中心21例aMCI受试者。为期6周的计算机化VSOP培训。多种认知处理测量，工具性日常生活活动（IADL），以及调节认知处理的两个关键静息状态神经网络：中央执行网络（CEN）和默认模式网络（DMN）。我们发现，与MLA控制相比，VSOP培训导致了培训后的显著改善。（处理速度和注意力：F1，19 = 6.61，部分η2 = 0.26，p = 0.019）和未经训练的认知域（工作记忆：F1，19 = 7.33，部分η2 = 0.28，p = 0.014; IADL：F1，19 = 5.16，部分η2 = 0.21，p = 0.035）和DMN中的保护性维持（F1，9 = 14.63，部分η2 = 0.62，p = 0.004）。此外，VSOP培训（而非MLA）导致CEN连接性的显著改善（Z =-2.37，p = .018）。我们确定了VSOP训练的目标和转移效应，并揭示了VSOP训练与aMCI相关的两个关键神经网络之间的联系。这些发现强调了VSOP训练减缓aMCI认知下降的潜力。进一步阐明VSOP诱导的可塑性机制对于理解在什么样的人群和条件下这种训练可能最有效是必要的。
Vision-based speed of processing (VSOP) training is a promising cognitive intervention for older adults. However, it is unknown whether VSOP training can affect cognitive processing in individuals at high risk for dementia. Here, we examined cognitive and neural effects of VSOP training in older adults with amnestic mild cognitive impairment (aMCI) and contrasted those effects with an active control (mental leisure activities; MLA). A randomized single-blinded controlled pilot trial. An academic medical center. Twenty-one participants with aMCI. A 6-week computerized VSOP training. Multiple cognitive processing measures, instrumental activities of daily living (IADL), and two key resting state neural networks regulating cognitive processing: central executive network (CEN) and default mode network (DMN). We found that, compared to MLA control, VSOP training led to significant improvements in trained (processing speed and attention: F1,19 = 6.61, Partial η2 = 0.26, p = .019) and untrained cognitive domains (working memory: F1,19 = 7.33, Partial η2 = 0.28, p = .014; IADL: F1,19 = 5.16, Partial η2 = 0.21, p = .035), and protective maintenance in DMN (F1, 9 = 14.63, Partial η2 = 0.62, p = .004). Additionally, VSOP training, but not MLA, resulted in a significant improvement in CEN connectivity (Z = −2.37, p = .018). We identified both target and transfer effects of VSOP training and revealed links between VSOP training and two key neural networks associated with aMCI. These findings highlight the potential of VSOP training to slow cognitive decline in aMCI. Further delineation of mechanisms underlying VSOP-induced plasticity is necessary to understand in what populations and conditions such training may be most effective.