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新任务学习的认知和结构预测因素,以及学习期间日常任务表现时间序列的情境预测因素。

Cognitive and structural predictors of novel task learning, and contextual predictors of time series of daily task performance during the learning period.

作者信息

Smith Evan T, Skolasinska Paulina, Qin Shuo, Sun Andrew, Fishwick Paul, Park Denise C, Basak Chandramallika

机构信息

Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, United States.

Department of Psychology, University of Texas at Dallas, Richardson, TX, United States.

出版信息

Front Aging Neurosci. 2022 Sep 23;14:936528. doi: 10.3389/fnagi.2022.936528. eCollection 2022.

Abstract

Investigation into methods of addressing cognitive loss exhibited later in life is of paramount importance to the field of cognitive aging. The field continues to make significant strides in designing efficacious cognitive interventions to mitigate cognitive decline, and the very act of learning a demanding task has been implicated as a potential mechanism of augmenting cognition in both the field of cognitive intervention and studies of cognitive reserve. The present study examines individual-level predictors of complex skill learning and day-to-day performance on a gamified working memory updating task, the BirdWatch Game, intended for use as a cognitive intervention tool in older adults. A measure of verbal episodic memory and the volume of a brain region involved in verbal working memory and cognitive control (the left inferior frontal gyrus) were identified as predictors of learning rates on the BirdWatch Game. These two neuro-cognitive measures were more predictive of learning when considered in conjunction than when considered separately, indicating a complementary effect. Additionally, auto-regressive time series forecasting analyses were able to identify meaningful daily predictors (that is, mood, stress, busyness, and hours of sleep) of performance-over-time on the BirdWatch Game in 50% of cases, with the specific pattern of contextual influences on performance being highly idiosyncratic between participants. These results highlight the specific contribution of language processing and cognitive control abilities to the learning of the novel task examined in this study, as well as the variability of subject-level influences on task performance during task learning.

摘要

研究应对晚年出现的认知能力丧失的方法对认知衰老领域至关重要。该领域在设计有效的认知干预措施以减轻认知衰退方面持续取得重大进展,而学习一项具有挑战性的任务这一行为本身,在认知干预领域和认知储备研究中均被认为是增强认知的一种潜在机制。本研究考察了复杂技能学习的个体水平预测因素,以及在一款用于老年人认知干预工具的、具有游戏化特点的工作记忆更新任务——《观鸟游戏》中的日常表现。言语情景记忆测量以及涉及言语工作记忆和认知控制的脑区(左侧额下回)体积,被确定为《观鸟游戏》学习率的预测因素。这两种神经认知测量指标结合起来考虑时,比单独考虑时对学习的预测性更强,表明存在互补效应。此外,自回归时间序列预测分析在50%的案例中能够识别出《观鸟游戏》随时间表现的有意义的日常预测因素(即情绪、压力、忙碌程度和睡眠时间),参与者之间情境对表现影响的具体模式差异很大。这些结果突出了语言处理和认知控制能力对本研究中所考察的新任务学习的具体贡献,以及任务学习过程中个体水平影响对任务表现的变异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924f/9540228/739738cd89c3/fnagi-14-936528-g0001.jpg

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