Mobile EEG for Neurourbanism Research - What Could Possibly Go Wrong? A Critical Review with Guidelines

Gramann, Klaus · 2024 · Crossref

DOI: 10.1101/2024.03.22.586309

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Summary

This critical review addresses the methodological challenges and validity concerns surrounding the use of mobile electroencephalography (EEG) in Neurourbanism and Neuro-Architecture research. Motivated by the rapid growth of these fields and the increasing reliance on affordable, portable consumer EEG hardware, the paper investigates how the ease of access to such technology has led to a surge in studies that often lack specialized neuroscience expertise. The author argues that this trend has resulted in widespread methodological errors, including the use of inadequate hardware and inappropriate data analysis techniques, which compromise the scientific validity of findings regarding how urban environments impact human brain activity and health. The study conducts a comprehensive review of existing Neurourbanism literature, evaluating adherence to established EEG recording and analysis prerequisites. It details the technical requirements for valid mobile EEG, emphasizing the necessity of high-quality amplifiers with sufficient resolution, sampling rates, and common mode rejection to handle real-world electrical noise. The review highlights the critical importance of electrode density and type, noting that low-density systems often found in consumer devices restrict analytical capabilities. Furthermore, it examines data preprocessing and feature extraction methods, specifically critiquing the application of Independent Component Analysis (ICA) on low-dimensional data and the reliance on proprietary "black-box" algorithms that lack transparency and replicability. The findings reveal severe deficiencies in the utilization of hardware and data processing methods across many Neurourbanism studies. The author identifies that numerous studies employ systems with too few electrodes to effectively separate brain activity from physiological artifacts like eye movements and muscle activity, particularly when using ICA. Additionally, the review finds that many researchers incorrectly apply complex, data-driven analyses incompatible with the low-dimensional data provided by consumer-grade systems. These methodological flaws render many existing studies unsuitable for rigorous scientific scrutiny, as they fail to properly isolate neural signals from noise and artifacts inherent in mobile, real-world settings. The significance of this work lies in its provision of specific guidelines for selecting EEG hardware and analytical strategies for future Neurourbanism research. By delineating the prerequisites for valid mobile EEG protocols, the paper aims to steer the field toward more ecologically valid and scientifically robust investigations. It emphasizes that while mobile EEG offers valuable opportunities to study brain responses in natural environments, achieving valid results requires careful attention to equipment specifications, electrode placement, and transparent, appropriate data analysis techniques. These guidelines are intended to improve the quality and reliability of research in understanding the neural impacts of urban living.

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• neuro workload indices

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• Empirical Findings: physiological data