Age-related changes reflecting cortical expansion and an increased structural differentiation with age are found, including trajectories of structural maturation in the neonatal period that appear coordinated along geometric and functional axes.
Abstract
Background The neonatal period is characterized by neurodevelopmental processes coinciding with rapid physiological transitions, however, spatial patterns of brain expansion in early life remain incompletely characterized. Here, we leverage grey matter structural covariance in term- and preterm-born neonates to study the interregional synchrony of neonatal brain maturation along principal brain organizational axes. Methods We used structural MRI data from the developing Human Connectome Project (n=525; 435 term-born) scanned at 37-44 weeks postmenstrual age (PMA)), stratifying the sample by term status and PMA. Based on cortical thickness (CT) and surface area (SA) metrics, we computed age group-(CVg) and individual-level (CVi) structural covariance matrices. Applying surface-based linear models, we identified changes in interregional covariance with postmenstrual age (PMA) and gestational age at birth (GAB), and contextualized alterations to neonatal functional networks. Using gradient decomposition, we identified major trajectories of cortical expansion on individual and group levels, and determined their correlation to archetypal geometric, evolutionary, and functional axes. Results We found age-related changes reflecting cortical expansion and an increased structural differentiation with age. Gradient decomposition of group-level covariance revealed that primary components followed both an posterior-anterior distribution, anchored in the visual cortex, and a sensorimotor-association gradient. Individual-level covariance gradients adhered most to geometric axes, and diverged from a sensorimotor-association pattern with increasing PMA. Term-born neonates exhibited a higher spatial correlation to functional and geometric axes than preterm-born neonates, overall pointing to different expansion patterns in neonates of the same PMA. Conclusion We found trajectories of structural maturation in the neonatal period that appear coordinated along geometric and functional axes. On an age group level, term-born neonates appear to follow archetypal axes more than preterm-borns at term-equivalent age, underlining differential expansion patterns in preterm-born neonates.
MRI data from two large-scale public databases are leveraged to characterize the spatiotemporal dynamics of SF coupling from the perinatal period to toddlerhood and offer valuable insights into the organizational principles underlying structural and functional network development during early life as well as the comple...
Understanding how brain maturation unfolds in preterm neonates is critical for both neuroscience and clinical care. Structural MRI suggests that the frontal cortex develop late, yet EEG offers a direct window into functional activity that follows a different trajectory. We analysed 211 EEG recordings from 62 preterm ne...
Johannes Mader, Manfred Hartmann, K. Klebermass-Schrehof et al.· Developmental Cognitive Neur...· 0 citations
Objective To characterize postmenstrual-age (PMA)-specific Burdjalov maturation trajectories in extremely preterm infants and to evaluate how imaging-defined major brain injury was associated with these trajectories and with apparent within-cohort discrimination between imaging-defined groups across PMA windows. Method...
Yong Zhang, De-Kai Xu, Guo-Yong Luo et al.· Frontiers in Pediatrics· 0 citations
The thalamus is critical relay hub of brain connectivity, yet its topographical organization during the early human brain development remains incompletely understood. Our study characterized the critical perinatal developmental period by optimizing and applying a clustering framework to parcellate the neonatal thalamus...
H. Ji, Zhe-Xin Wu, A. Speckert et al.· Brain Topography· 0 citations
Introduction Brain maturation during childhood and adolescence involves complex structural changes that vary among individuals. Characterizing these trajectories is essential for understanding normative development and identifying deviations associated with neurological conditions. Methods We analyzed structural magnet...
O. Kabenova, R. Zhulduzbayev, I. Brak et al.· Frontiers in Neuroanatomy· 0 citations
This study uses Multimodal Surface Matching with Hierarchical Templates (MSM-HT), a hierarchical surface registration, to parse cortical folding patterns into a representative family of distinct anatomical templates, offering a robust framework to generalise the uncovered cortical folding motifs across datasets and dev...
You-Rong Guo, Mohamed A. Suliman, L. Williams et al.· Nature Communications· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.