EEG-based age-prediction models as stable and heritable indicators of brain maturational level in children and adolescents

The human brain shows remarkable development of functional brain activity from childhood to adolescence. Here, we investigated whether electroencephalogram (EEG) recordings are suitable for predicting the age of children and adolescents. Moreover, we investigated whether overestimation or underestimation of age was stable over longer time periods, as stable prediction error can be interpreted as reflecting individual brain maturational level. Finally, we established whether the age-prediction error was genetically determined. Then, 3 min eyes-closed resting-state EEG data from the longitudinal... Mehr ...

Verfasser: Vandenbosch, Marjolein M L J Z
Ent, Dennis van 't
Boomsma, Dorret I
Anokhin, Andrey P
Smit, Dirk J A
Dokumenttyp: Artikel
Erscheinungsdatum: 2019
Reihe/Periodikum: Vandenbosch , M M L J Z , Ent , D V , Boomsma , D I , Anokhin , A P & Smit , D J A 2019 , ' EEG-based age-prediction models as stable and heritable indicators of brain maturational level in children and adolescents ' , Human Brain Mapping , vol. 40 , no. 6 , pp. 1919-1926 . https://doi.org/10.1002/hbm.24501
Schlagwörter: /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_ / name=Netherlands Twin Register (NTR)
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26845420
Datenquelle: BASE; Originalkatalog
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Link(s) : https://research.vu.nl/en/publications/efa98aa7-dad1-4f13-9ae4-71571f3ed455