PuSH - Publikationsserver des Helmholtz Zentrums München

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)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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.
Altmetric
Weitere Metriken?
[➜Einloggen]
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Auditory Mismatch Response ; Cognitive Development ; Magnetoencephalography ; Newborns ; Rule Learning; Heart-rate-variability; Normal Infants; Fetal; Consciousness; Sleep; Responses; Novelty
ISSN (print) / ISBN 1878-9293
e-ISSN 1878-9307
Zeitschrift Developmental Cognitive Neuroscience
Quellenangaben Band: 46, Heft: , Seiten: , Artikelnummer: 100871 Supplement: ,
Verlag Elsevier
Verlagsort The Boulevard, Langford Lane, Kidlington, Oxford Ox5 1gb, Oxon, England
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Diabetes Research and Metabolic Diseases (IDM)
Förderungen Bundesministerium für Bildung und Forschung
Horizon 2020
European Research Council