Characterizing alterations in attention networks under high mental workload

L Lin Wu (The Department of Thoracic Medical Oncology Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine Central South University Changsha China) A Anping Ouyang X Xu Tang (Department of Chemistry and Shenzhen Grubbs Institute) K Kewei Sun C Chaozong Ma T Tingwei Feng Y Yijun Li L Lingling Wang H Huijie Lu (Richard and Loan Hill Department of Biomedical Engineering, University of Illinois) X Xinxin Lin C Chenxi Li (State Key Laboratory and Institute of Elemento-Organic Chemistry, The Centre of Nanoscale Science and Technology and Key Laboratory of Functional Polymer Materials, Renewable Energy Conversion and Storage Center (RECAST), Frontiers Science Center for New Organic Matter, College of Chemistry) T Tian Zhang (Division of Hematology‐Oncology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas Texas USA) K Kuiliang Li P Peng Fang S Shengjun Wu D Daqing Huang L Lei Ren X Xufeng Liu

Abstract

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.

Article Details

Volume / Issue Vol. 16, Issue 1
Published February 27, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (18)

L

Lin Wu

The Department of Thoracic Medical Oncology Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine Central South University Changsha China

A

Anping Ouyang

X

Xu Tang

Department of Chemistry and Shenzhen Grubbs Institute

K

Kewei Sun

C

Chaozong Ma

T

Tingwei Feng

Y

Yijun Li

L

Lingling Wang

H

Huijie Lu

Richard and Loan Hill Department of Biomedical Engineering, University of Illinois

X

Xinxin Lin

C

Chenxi Li

State Key Laboratory and Institute of Elemento-Organic Chemistry, The Centre of Nanoscale Science and Technology and Key Laboratory of Functional Polymer Materials, Renewable Energy Conversion and Storage Center (RECAST), Frontiers Science Center for New Organic Matter, College of Chemistry

T

Tian Zhang

Division of Hematology‐Oncology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas Texas USA

K

Kuiliang Li

P

Peng Fang

S

Shengjun Wu

D

Daqing Huang

L

Lei Ren

X

Xufeng Liu