ArticleCerebral cortex (New York, N.Y. : 1991)2022
Higher-order brain regions show shifts in structural covariance in adolescent marmosets.
Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- The cellular correlates and adolescent reorganisation of cortical myelination networks in the common marmoset.Communications biology · 2026Article
- Developmental dynamics of marmoset prefrontal cortical SST and PV interneuron networks highlight primate-specific features.Development (Cambridge, England) · 2025Article
- Neurodevelopmental timing and socio-cognitive development in a prosocial cooperatively breeding primate (Science advances · 2024Article
- Developmental dynamics of the prefrontal cortical SST and PV interneuron networks: Insights from the monkey highlight human-specific features.bioRxiv : the preprint server for biology · 2024Article
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5 authors.
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Abstract
Substantial progress has been made studying morphological changes in brain regions during adolescence, but less is known of network-level changes in their relationship. Here, we compare covariance networks constructed from the correlation of morphometric volumes across 135 brain regions of marmoset monkeys in early adolescence and adulthood. Substantial shifts are identified in the topology of structural covariance networks in the prefrontal cortex (PFC) and temporal lobe. PFC regions become more structurally differentiated and segregated within their own local network, hypothesized to reflect increased specialization after maturation. In contrast, temporal regions show increased inter-hemispheric covariances that may underlie the establishment of distributed networks. Regionally selective coupling of structural and maturational covariance is revealed, with relatively weak coupling in transmodal association areas. The latter may be a consequence of continued maturation within adulthood, but also environmental factors, for example, family size, affecting brain morphology. Advancing our understanding of how morphological relationships within higher-order brain areas mature in adolescence deepens our knowledge of the developing brain's organizing principles.
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