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Moser, J. ; Schleger, F. ; Weiss, M. ; Sippel, K. ; Dehaene-Lambertz, G.* ; Preissl, H.

Magnetoencephalographic signatures of hierarchical rule learning in newborns.

Dev. Cogn. Neurosci . 46:100871 (2020)
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Estimating the extent to which newborn humans process input from their environment, especially regarding the depth of processing, is a challenging question. To approach this problem, we measured brain responses in 20 newborns with magnetoencephalography (MEG) in a “local-global” auditory oddball paradigm in which two-levels of hierarchical regularities are presented. Results suggest that infants in the first weeks of life are able to learn hierarchical rules, yet a certain level of vigilance seems to be necessary. Newborns detected violations of the first-order regularity and displayed a mismatch response between 200−400 ms. Violations of the second-order regularity only evoked a late response in newborns in an active state, which was expressed by a high heart rate variability. These findings are in line with those obtained in human adults and older infants suggesting a continuity in the functional architecture from term-birth on, despite the immaturity of the human brain at this age.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Auditory Mismatch Response ; Cognitive Development ; Magnetoencephalography ; Newborns ; Rule Learning; Heart-rate-variability; Normal Infants; Fetal; Consciousness; Sleep; Responses; Novelty
Language english
Publication Year 2020
HGF-reported in Year 2020
ISSN (print) / ISBN 1878-9293
e-ISSN 1878-9307
Quellenangaben Volume: 46, Issue: , Pages: , Article Number: 100871 Supplement: ,
Publisher Elsevier
Publishing Place The Boulevard, Langford Lane, Kidlington, Oxford Ox5 1gb, Oxon, England
Reviewing status Peer reviewed
POF-Topic(s) 90000 - German Center for Diabetes Research
Research field(s) Helmholtz Diabetes Center
PSP Element(s) G-502400-001
Grants Bundesministerium für Bildung und Forschung
Horizon 2020
European Research Council
Scopus ID 85093986267
PubMed ID 33122158
Erfassungsdatum 2020-11-26