Pupil Trend Reflects Sub-Optimal Alertness Maintenance Over 10 Seconds in Vigilance and Working Memory Performance: An Exploratory Study.

IF 2.7 3区 医学 Q3 NEUROSCIENCES eNeuro Pub Date : 2024-11-18 DOI:10.1523/ENEURO.0250-24.2024
Jumpei Yamashita, Hiroki Terashima, Makoto Yoneya, Kazushi Maruya, Haruo Oishi, Takatsune Kumada
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Abstract

Maintaining concentration on demanding cognitive tasks, such as vigilance (VG) and working memory (WM) tasks, is crucial for successful task completion. Previous research suggests that internal concentration maintenance fluctuates, potentially declining to sub-optimal states, which can influence trial-by-trial performance in these tasks. However, the timescale of such alertness maintenance, as indicated by slow changes in pupil diameter, has not been thoroughly investigated. This study explored whether "pupil trends"-which selectively signal sub-optimal tonic alertness maintenance at various timescales-negatively correlate with trial-by-trial performance in VG and WM tasks. Using the Psychomotor Vigilance Task (VG) and the Visual-Spatial 2-back Task (WM), we found that human pupil trends lasting over 10 seconds were significantly higher in trials with longer reaction times, indicating poorer performance, compared to shorter reaction time trials, which indicated better performance. The Attention Network Test further validated that these slow trends reflect sub-optimal states related to (tonic) alertness maintenance rather than sub-optimal performance specific to VG and WM tasks, which is more associated with (phasic) responses to instantaneous interference. These findings highlight the potential role of detecting and compensating for non-optimal states in VG and WM performance, significantly beyond the 10-second timescale. Additionally, the findings suggest the possibility of estimating human concentration during various visual tasks, even when rapid pupil changes occur due to luminance fluctuations.Significance Statement Using biomarkers to estimate human concentration levels can adaptively enhance performance in daily activities. Theoretically, the pupil diameter, which measurably fluctuates over several seconds, could mirror real-time concentration in demanding tasks like vigilance (VG) and working memory (WM). Although capable of accurately estimating concentration in the presence of rapid luminance changes, empirical evidence linking these pupil measures at the slow timescales to trial-by-trial VG and WM task performance is lacking. This study demonstrates that the 10-second pupil trend accurately reflects these tasks' performance, underscoring its potential for daily concentration assessment.

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瞳孔趋势反映了在 10 秒钟内保持警觉和工作记忆表现的次最佳警觉状态:一项探索性研究。
在警觉性(VG)和工作记忆(WM)等要求较高的认知任务中保持注意力集中是成功完成任务的关键。以往的研究表明,内部注意力的保持会发生波动,有可能下降到次优状态,从而影响这些任务的逐次试验表现。然而,瞳孔直径的缓慢变化所显示的这种警觉性维持的时间尺度尚未得到深入研究。本研究探讨了 "瞳孔趋势"(在不同时间尺度上选择性地显示次优的强直警觉维持状态)是否与 VG 和 WM 任务中的逐次试验成绩呈负相关。通过精神运动警觉任务(VG)和视觉空间2-back任务(WM),我们发现在反应时间较长的试验中,持续时间超过10秒的人类瞳孔趋势明显高于反应时间较短的试验,前者表示表现较差,后者表示表现较好。注意力网络测试进一步验证了这些缓慢的趋势反映了与维持(强直性)警觉有关的次优状态,而不是 VG 和 WM 任务特有的次优表现,后者更多地与对瞬时干扰的(阶段性)反应有关。这些发现凸显了在 VG 和 WM 表现中检测和补偿非最佳状态的潜在作用,其时间尺度大大超过了 10 秒。此外,研究结果还表明,即使在亮度波动导致瞳孔快速变化的情况下,也有可能在各种视觉任务中估计出人类的注意力。从理论上讲,瞳孔直径会在几秒钟内发生可测量的波动,它可以反映警觉性(VG)和工作记忆(WM)等高要求任务中的实时注意力集中程度。虽然在亮度快速变化的情况下,瞳孔直径能准确估计注意力的集中程度,但目前还缺乏将这些慢时间尺度的瞳孔测量与逐次试验的 VG 和 WM 任务表现联系起来的实证证据。本研究表明,10 秒钟的瞳孔变化趋势能准确反映这些任务的表现,突出了其在日常注意力评估中的潜力。
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来源期刊
eNeuro
eNeuro Neuroscience-General Neuroscience
CiteScore
5.00
自引率
2.90%
发文量
486
审稿时长
16 weeks
期刊介绍: An open-access journal from the Society for Neuroscience, eNeuro publishes high-quality, broad-based, peer-reviewed research focused solely on the field of neuroscience. eNeuro embodies an emerging scientific vision that offers a new experience for authors and readers, all in support of the Society’s mission to advance understanding of the brain and nervous system.
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