Evidence map›Paper›PMID 41760727›Full record

ArticleScientific reports2026

Characterizing alterations in attention networks under high mental workload.

Lin Wu, Anping Ouyang, Xu Tang, Kewei Sun, Chaozong Ma, Tingwei Feng, Yijun Li, Lingling Wang, Huijie Lu, Xinxin Lin and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Lin Wu *Department of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Anping Ouyang *Department of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Xu Tang *Department of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Kewei SunDepartment of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Chaozong MaDepartment of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Tingwei FengDepartment of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Yijun LiDepartment of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Lingling WangDepartment of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Huijie LuDepartment of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Xinxin LinDepartment of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Chenxi LiDepartment of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Tian ZhangDepartment of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Kuiliang LiSchool of Psychology, Shaanxi Normal University, Xi'an, 710062, China.
Peng FangDepartment of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Shengjun WuDepartment of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China.
Daqing HuangTeachers' College, Beijing Union University, Beijing, 100011, China. mddcn@126.com.
Lei RenMilitary Psychology Section, Logistics University of PAP, Tianjin, 300309, China. rl_fmmu@163.com.
Xufeng LiuDepartment of Military Medical Psychology, The Fourth Military Medical University, Xi'an, 710032, China. lxf_fmmu@163.com.

Funding

Military Medical Science and Technology Tackling Plan of The Fourth Military Medical University 2025JSKY28
6 · The paper itself

Abstract

With the rapid development of modern society, occupational populations commonly face work states characterized by high mental workload (HMW). HMW can rapidly mobilize and deplete an individual's cognitive resources within a short timeframe. As attention constitutes a fundamental cognitive quality, it is inevitably impacted by HMW, leading to issues such as impaired attentional function and decreased task performance. This study aimed to investigate the characteristics of alterations in attention network under HMW. Participants were recruited from a medical university using convenience sampling. The 1-back Stroop (BS) cognitive task was employed to induce an HMW state. The Attention Network Test-Revised (ANT-R) was completed before and after the induction of the HMW to assess attention network behavior. Eye tracking was assessed using an eye tracker, and subjective assessment was conducted using a visual analog scale (VAS). Statistical analysis was performed using a paired t-test or Wilcoxon signed-rank test. Subjective VAS ratings showed significant increases in mental fatigue (MF), mental effort (ME), mental stress (MS), boredom, and mind wandering (MW) following HMW induction compared to baseline. Behavioral results showed that, compared with before HMW state induction, there were significant differences in alert (sustained attention for maintaining arousal), moving+engaging (selective attention for adjusting and focusing on valid stimuli), flanker conflict (directional conflict between target stimuli and surrounding distracting stimuli) and location conflict (directional conflict between target stimuli and stimulus locations) changes. Alert efficiency values decreased significantly, while moving+engaging, flanker and location conflict values increased significantly. No significant differences were observed in the number of correct trials. Eye tracking results showed that, compared with the state before HMW induction, there were significant differences in average saccade duration and blink count, with a notable increase in both. The ANT-R demonstrates utility both as an experimental paradigm for assessing attention networks and as a behavioral indicator for evaluating HMW. Under the HMW state, significant changes were observed in a subset of behavioral, subjective rating scale, and eye-tracking indicators related to the attention network. This study validated the effectiveness of the BS cognitive task paradigm in inducing the HMW and provided new experimental evidence for revealing the characteristics of attention network changes in the HMW, laying the foundation for the development of assessment and intervention strategies.

Indexed as

AttentionMental FatigueWorkloadAdultCognitionFemaleHumansMaleStroop TestYoung AdultAttention NetworkBehavioral PerformanceEye trackingHigh Mental WorkloadVisual Analogue Scale

Identifiers

PMID41760727
PMCPMC13049082

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.