EEG Data Quality in Real-World Settings: Examining Neural Correlates of Attention in School-Aged Children

Autor/inn/en	Xu, Keye; Torgrimson, Sarah Jo; Torres, Remi; Lenartowicz, Agatha; Grammer, Jennie K.
Titel	EEG Data Quality in Real-World Settings: Examining Neural Correlates of Attention in School-Aged Children
Quelle	In: Mind, Brain, and Education, 16 (2022) 3, S.221-227 (7 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Xu, Keye) ORCID (Torgrimson, Sarah Jo) ORCID (Torres, Remi) ORCID (Lenartowicz, Agatha) ORCID (Grammer, Jennie K.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1751-2271
DOI	10.1111/mbe.12314
Schlagwörter	Medicine; Attention; Brain; Neurological Organization; Elementary School Students; Data; Classroom Environment + Suchen Sie Ihr Suchwort? Medizin; Aufmerksamkeit; Gehirn; Daten; Klassenklima; Unterrichtsklima
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 during semi-naturalistic classroom lessons. Despite an increase of data loss with the classroom-based paradigm, we demonstrate that it is feasible to collect quality data in classroom settings with young children. We also provide a test case for how robust EEG signals, such as alpha oscillations, can be used to identify measurable differences in covert processes like attention in classrooms. We end with pragmatic suggestions for researchers interested in employing naturalistic EEG methods in real-world, multisensory contexts. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01