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ERIC Number: EJ1343712
Record Type: Journal
Publication Date: 2022-Aug
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1751-2271
EISSN: EISSN-1751-228X
EEG Data Quality in Real-World Settings: Examining Neural Correlates of Attention in School-Aged Children
Xu, Keye; Torgrimson, Sarah Jo; Torres, Remi; Lenartowicz, Agatha; Grammer, Jennie K.
Mind, Brain, and Education, v16 n3 p221-227 Aug 2022
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.
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://bibliotheek.ehb.be:2191/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education
Audience: N/A
Language: English
Sponsor: National Institute of Mental Health (NIMH) (DHHS/NIH)
Authoring Institution: N/A
Grant or Contract Numbers: R21MH119448