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Details

Autor(en) / Beteiligte
Titel
Functional connectomes become more longitudinally self-stable, but not more distinct from others, across early childhood
Ist Teil von
  • NeuroImage (Orlando, Fla.), 2022-09, Vol.258, p.119367-119367, Article 119367
Ort / Verlag
Amsterdam: Elsevier Inc
Erscheinungsjahr
2022
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • •-High longitudinal connectome self-stability across one year in 4–7-year-old children.•-Individualization associated with age in the whole brain and most functional networks.•-Connectome self-stability increased with age, with little change in group-similarity. Functional connectomes, as measured with functional magnetic resonance imaging (fMRI), are highly individualized, and evidence suggests this individualization may increase across childhood. A connectome can become more individualized either by increasing self-stability or decreasing between-subject-similarity. Here we used a longitudinal early childhood dataset to investigate age associations with connectome self-stability, between-subject-similarity, and developmental individualization, defined as an individual's self-stability across a 12-month interval relative to their between-subject-similarity. fMRI data were collected during an 18-minute passive viewing scan from 73 typically developing children aged 4-7 years, at baseline and 12-month follow-up. We found that young children had highly individualized connectomes, with sufficient self-stability across 12-months for 98% identification accuracy. Linear models showed a significant relationship between age and developmental individualization across the whole brain and in most networks. This association appeared to be largely driven by an increase in self-stability with age, with only weak evidence for relationships between age and similarity across participants. Together our findings suggest that children's connectomes become more individualized across early childhood, and that this effect is driven by increasing self-stability rather than decreasing between-subject-similarity.
Sprache
Englisch
Identifikatoren
ISSN: 1053-8119
eISSN: 1095-9572
DOI: 10.1016/j.neuroimage.2022.119367
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_782c23c26329471eb6f2dbd423a8098f

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