2022
DOI: 10.1111/mbe.12314
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EEG Data Quality in Real‐World Settings: Examining Neural Correlates of Attention in School‐Aged Children

Abstract: Advances in mobile electroencephalography (EEG) technology have made it possible to examine covert cognitive processes in real‐world settings such as student attention in the classroom. Here, we outline research using wired and wireless EEG technology to examine attention in elementary school children across increasingly naturalistic paradigms in schools, ranging from a lab‐based paradigm where children met one‐on‐one with an experimenter in a field laboratory to mobile EEG testing conducted in the same school… Show more

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Cited by 12 publications
(7 citation statements)
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“…Five studies verified the signal quality of EEG derived from portable EEG in attentional tasks (Figure 2a). Xu et al (2022) reported that alpha activity recorded by portable EEG was comparable to that recorded by a lab-based EEG system. Similarly, Khng & Mane (2020) demonstrated that portable EEG can detect similar effects in the Flanker task as a laboratorybased EEG system.…”
Section: Signal Quality Validation Of Portable Eeg Devicesmentioning
confidence: 89%
See 3 more Smart Citations
“…Five studies verified the signal quality of EEG derived from portable EEG in attentional tasks (Figure 2a). Xu et al (2022) reported that alpha activity recorded by portable EEG was comparable to that recorded by a lab-based EEG system. Similarly, Khng & Mane (2020) demonstrated that portable EEG can detect similar effects in the Flanker task as a laboratorybased EEG system.…”
Section: Signal Quality Validation Of Portable Eeg Devicesmentioning
confidence: 89%
“…The first challenge is ensuring the quality of EEG data, as the EEG recordings can involve a substantial number of artifacts caused by natural interactions in real-world learning, such as eye movements, blinks, nodding, gestures, facial expressions, and discussions. To compensate for the artifacts, longer recording time, more trials, and sufficient scalp coverage are recommended (Janssen et al, 2021;Xu et al, 2022). The second challenge is causality inference.…”
Section: Eeg Collection Methodologymentioning
confidence: 99%
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“…Missing from the work outlined above is a focus on factors that might contribute to student's use of EF in the moment. To examine the impact of classroom experiences on student EF, we have been developing methods for examining associated cognitive processes in students in the classroom using EEG, demonstrating that it is possible to measure—in real‐time—the neural correlates of attention while students are learning in the college and elementary classroom (Grammer, Xu, & Lenartowicz, 2021; Xu, Torgrimson, Torres, Lenartowicz, & Grammer, 2022). By integrating neuroscientific methods to examine attention and distraction in students while they are engaged in learning activities (e.g., independent silent reading, group work, teacher‐led instruction), it is possible to examine the moment‐to‐moment fluctuations in these processes while students are surrounded by teachers and peers.…”
Section: Examining the Impact Of Classroom Experience On Ef Processes...mentioning
confidence: 99%