Preliminary evidence of the cognitive cost of insomnia: understanding adaptive decision-making during sleep deprivation

失眠认知代价的初步证据:了解睡眠剥夺期间的适应性决策

阅读:1

Abstract

STUDY OBJECTIVES: The aim of this laboratory-based study was to understand the effect of total sleep deprivation (TSD) on decision-making using a reversal learning task with unannounced contingency reversals in those with chronic insomnia compared to healthy sleepers. METHODS: Twenty-eight individuals completed the study, 15 with chronic insomnia (7 underwent TSD) and 13 healthy sleepers (7 underwent TSD). Participants were in the laboratory for 5 days/4 nights. Following baseline sleep, participants underwent 38 h of TSD or another nighttime sleep opportunity, followed by a recovery sleep opportunity for all participants. Mixed-effects ANOVAs with fixed effects of condition (healthy TSD, insomnia TSD, healthy control, or insomnia control), session (baseline or TSD/control), phase (pre or post-reversal), block (1-4), and their interactions were run to assess performance. RESULTS: There were significant effects of day, condition, phase, and their interaction (all p<.01). Participants performed better when rested and pre-reversal (i.e. before the rule change). While both TSD groups showed poorer performance post-reversal (i.e. after the rule change) during TSD, the TSD insomnia group showed relatively intact performance pre-reversal. CONCLUSIONS: TSD led to significant overall impairment on a reversal learning decision task for healthy sleepers and those with insomnia. However, the nature of impairment differed between groups. Hyperarousal may have conferred a protective effect on those with insomnia, resulting in preserved decision-making pre-reversal. These findings have important implications for our understanding of the nature of cognitive impairment associated with chronic insomnia.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。