ArticleScientific reports2021
Study of EEG characteristics while solving scientific problems with different mental effort.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Electroencephalography (EEG) Studies Investigating Mathematical Efficiency: Current Insights and Future Directions.Advances in experimental medicine and biology · 2026Pooled it
- Multimodal EEG and Eye-Tracking Assessment of Perceived Mental Workload and Situation Awareness in a Visual Display Terminal Simulation Task.Sensors (Basel, Switzerland) · 2026Article
- Electroencephalogram-Based Analysis of Monomodal and Multimodal Interaction in Mixed Reality Games.Sensors (Basel, Switzerland) · 2026Article
- Neurophysiological, imaging and neurobiological markers of central fatigue in multiple sclerosis.Brain communications · 2026Article
- A novel approach for the EEG-driven assessment of divided attention through mutual information theory: A case study at the wheel.PloS one · 2026Article
- Neural activation is enhanced with operational task ecological validity during complex cognitive tasks.Frontiers in human neuroscience · 2026Article
- Effects of seasonal factors on brain function: Systematic review and future perspectives.iScience · 2025Article
- EEG analysis of brain dynamics in a simulated multi-task and multi-stage learning environment.NPJ science of learning · 2025Article
- Combined effects of moderate normobaric hypoxia and sleep restriction on visual and auditory integration.Scientific reports · 2025Article
- A Multimodal Neurophysiological Approach to Evaluate Educational Contents in Terms of Cognitive Processes and Engagement.Bioengineering (Basel, Switzerland) · 2025Article
- A role for preparatory midfrontal theta in autism as revealed by a high executive load brain-computer interface reverse spelling task.Scientific reports · 2025Article
- Exploring the Impact of Declarative Learning on the Consolidation of Acquired Motor Skills Under Valence Feedback.Human brain mapping · 2025Article
- Article
- Neural correlates tracking different aspects of the emerging representation of novel visual categories.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- The impact of internal-generated contextual clues on EFL vocabulary learning: insights from EEG.Frontiers in psychology · 2024Article
- Substitutive proprioception feedback of a prosthetic wrist by electrotactile stimulation.Frontiers in neuroscience · 2023Article
- Article
- Validation of a Light EEG-Based Measure for Real-Time Stress Monitoring during Realistic Driving.Brain sciences · 2022Article
- Cognitive training and retest learning effects on theta and alpha power in older and young adults: A perspective on the crunch hypothesis and the STAC-R model.International journal of clinical and health psychology : IJCHPArticle
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Authors and funding
3 authors.
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Abstract
Studying the mental effort in problem-solving is important to the understanding of how the brain allocates cognitive resources to process information. The electroencephalogram is a promising physiological approach to assessing the online mental effort. In this study, we investigate the EEG indicators of mental effort while solving scientific problems. By manipulating the complexity of the scientific problem, the level of mental effort also changes. With the increase of mental effort, theta synchronization in the frontal region and lower alpha desynchronization in the parietal and occipital regions significantly increase. Also, upper alpha desynchronization demonstrates a widespread enhancement across the whole brain. According to the functional topography of brain activity in the theta and alpha frequency, our results suggest that the mental effort while solving scientific problems is related to working memory, visuospatial processing, semantic processing and magnitude manipulation. This study suggests the reliability of EEG to evaluate the mental effort in an educational context and provides valuable insights into improving the problem-solving abilities of students in educational practice.
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