Publications
1. Park, Bo-Yong; Bethlehem, Richard Ai; Paquola, Casey; Larivière, Sara; Rodríguez-Cruces, Raul; de Wael, Reinder Vos; Consortium, Neuroscience Psychiatry Network (NSPN); Bullmore, Edward T; Bernhardt, Boris C
An expanding manifold in transmodal regions characterizes
adolescent reconfiguration of structural connectome organization Journal Article
In: Elife, vol. 10, 2021.
Abstract | BibTeX | Tags: adolescence; connectome; human; longitudinal; multi-scale; neurodevelopment; neuroimaging; neuroscience
@article{Park2021-ap,
title = {An expanding manifold in transmodal regions characterizes
adolescent reconfiguration of structural connectome organization},
author = {Bo-Yong Park and Richard Ai Bethlehem and Casey Paquola and Sara Larivière and Raul Rodríguez-Cruces and Reinder Vos de Wael and Neuroscience Psychiatry Network (NSPN) Consortium and Edward T Bullmore and Boris C Bernhardt},
year = {2021},
date = {2021-03-01},
journal = {Elife},
volume = {10},
publisher = {eLife Sciences Publications, Ltd},
abstract = {Adolescence is a critical time for the continued maturation of
brain networks. Here, we assessed structural connectome
development in a large longitudinal sample ranging from
childhood to young adulthood. By projecting high-dimensional
connectomes into compact manifold spaces, we identified a marked
expansion of structural connectomes, with strongest effects in
transmodal regions during adolescence. Findings reflected
increased within-module connectivity together with increased
segregation, indicating increasing differentiation of
higher-order association networks from the rest of the brain.
Projection of subcortico-cortical connectivity patterns into
these manifolds showed parallel alterations in pathways centered
on the caudate and thalamus. Connectome findings were
contextualized via spatial transcriptome association analysis,
highlighting genes enriched in cortex, thalamus, and striatum.
Statistical learning of cortical and subcortical manifold
features at baseline and their maturational change predicted
measures of intelligence at follow-up. Our findings demonstrate
that connectome manifold learning can bridge the conceptual and
empirical gaps between macroscale network reconfigurations,
microscale processes, and cognitive outcomes in adolescent
development.},
keywords = {adolescence; connectome; human; longitudinal; multi-scale; neurodevelopment; neuroimaging; neuroscience},
pubstate = {published},
tppubtype = {article}
}
Adolescence is a critical time for the continued maturation of
brain networks. Here, we assessed structural connectome
development in a large longitudinal sample ranging from
childhood to young adulthood. By projecting high-dimensional
connectomes into compact manifold spaces, we identified a marked
expansion of structural connectomes, with strongest effects in
transmodal regions during adolescence. Findings reflected
increased within-module connectivity together with increased
segregation, indicating increasing differentiation of
higher-order association networks from the rest of the brain.
Projection of subcortico-cortical connectivity patterns into
these manifolds showed parallel alterations in pathways centered
on the caudate and thalamus. Connectome findings were
contextualized via spatial transcriptome association analysis,
highlighting genes enriched in cortex, thalamus, and striatum.
Statistical learning of cortical and subcortical manifold
features at baseline and their maturational change predicted
measures of intelligence at follow-up. Our findings demonstrate
that connectome manifold learning can bridge the conceptual and
empirical gaps between macroscale network reconfigurations,
microscale processes, and cognitive outcomes in adolescent
development.