ArticleFrontiers in neuroscience2020
Using Mobile EEG to Investigate Alpha and Beta Asymmetries During Hand and Foot Use.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Four meta-analyses across 164 studies on atypical footedness prevalence and its relation to handedness.Scientific reports · 2020Pooled it
- Cortical neural activity during responses to mechanical perturbation: Effects of hand preference and hand used.NeuroImage · 2025Article
- Exploring Electrocortical Signatures of Gait Adaptation: Differential Neural Dynamics in Slow and Fast Gait Adapters.eNeuro · 2024Article
- Correlation between Cognitive Performance and Interhemispheric Asymmetry of EEG Alpha Rhythm during Lateralized Presentation of Visual Information against the Background of Optical Stimulation.Bulletin of experimental biology and medicine · 2023Article
- Walk the plank! Using mobile electroencephalography to investigate emotional lateralization of immersive fear in virtual reality.Royal Society open science · 2023Article
- Neuroergonomics on the Go: An Evaluation of the Potential of Mobile EEG for Workplace Assessment and Design.Human factors · 2023Article
- The reality of virtual reality.Frontiers in psychology · 2023Article
- Frontal and parietal EEG alpha asymmetry: a large-scale investigation of short-term reliability on distinct EEG systems.Brain structure & function · 2022Article
- Quantitative multidimensional phenotypes improve genetic analysis of laterality traits.Translational psychiatry · 2022Article
- Acute stress increases left hemispheric activity measured via changes in frontal alpha asymmetries.iScience · 2022Article
- Towards real-world neuroscience using mobile EEG and augmented reality.Scientific reports · 2022Article
- Investigating real-life emotions in romantic couples: a mobile EEG study.Scientific reports · 2021Article
- Affective Neurofeedback Under Naturalistic Conditions: A Mini-Review of Current Achievements and Open Challenges.Frontiers in neuroergonomics · 2021Review
- Human Lateralization, Maternal Effects and Neurodevelopmental Disorders.Frontiers in behavioral neuroscience · 2021Article
- A large-scale estimate on the relationship between language and motor lateralization.Scientific reports · 2020Article
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Authors and funding
7 authors.
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Abstract
The Edinburgh Handedness Inventory (EHI) and the Waterloo Footedness Questionnaire (WFQ) are two of the most widely used questionnaires to assess lateralized everyday behavior in human participants. However, it is unclear to what extent the specific behavior assessed in these questionnaires elicit lateralized neural activity when performed in real-life situations. To illuminate this unresolved issue, we assessed EEG alpha and beta asymmetries during real-life performance of the behaviors assessed in the EHI and WFQ using a mobile EEG system. This methodology provides high ecological validity for studying neural correlates of motor behavior under more naturalistic conditions. Our results indicate that behavioral performance of items of both the EHI and WFQ differentiate between left- and right-handers and left- and right-footers on the neural level, especially in the alpha frequency band. These results were unaffected by movement parameters. Furthermore, we could demonstrate that neural activity elicited specifically during left-sided task performance provides predictive power for the EHI or WFQ score of the participants. Overall, our results show that these prominent questionnaires not only distinguish between different motor preferences on the behavioral level, but also on the neurophysiological level. Furthermore, we could show that mobile EEG systems are a powerful tool to investigate motor asymmetries in ecologically valid situations outside of the laboratory setting. Future research should focus on other lateralized behavioral phenotypes in real-life settings to provide more insights into lateralized motor functions.
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