Development of the overlapping network modules in the human brain DOI Creative Commons
Tianyuan Lei, Xuhong Liao, Xinyuan Liang

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 5, 2024

Abstract Developmental connectomic studies have shown that the modular organization of functional networks in human brain undergoes substantial reorganization with age to support cognitive growth. However, these implicitly assume each region belongs one and only specific network module, ignoring potential spatial overlap between modules. How overlapping architecture develops whether this development is related structural signatures remain unknown. Using longitudinal multimodal structural, functional, diffusion MRI data from 305 children (aged 6–14 years), we investigated networks, further explored their associations. Specifically, an edge-centric model was used identify modules, nodal module affiliations quantified using entropy measure. We showed a remarkable regional inhomogeneity children, higher ventral attention, somatomotor, subcortical lower visual default-mode networks. Furthermore, modules developed linear, spatially dissociable manner childhood adolescence, significantly reduced prefrontal cortex putamen increased parietal lobules. Personalized patterns capture individual maturity as characterized by age. Finally, can be predicted integrating gray matter morphology white properties. Our findings highlight maturation substrates, thereby advancing our understanding principles connectome development.

Language: Английский

Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence DOI Creative Commons
Xinyuan Liang,

Lianglong Sun,

Xuhong Liao

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Jan. 26, 2024

Abstract Cortical thinning is an important hallmark of the maturation brain morphology during childhood and adolescence. However, connectome-based wiring mechanism that underlies cortical remains unclear. Here, we show patterns primarily located in lateral frontal parietal heteromodal nodes adolescence, which are structurally constrained by white matter network architecture particularly represented using a network-based diffusion model. Furthermore, constraints regionally heterogeneous, with largest residing frontoparietal nodes, associated gene expression signatures microstructural neurodevelopmental events. These results highly reproducible another independent dataset. findings advance our understanding network-level mechanisms genetic basis maturational process

Language: Английский

Citations

15

Regional patterns of human cortex development correlate with underlying neurobiology DOI Creative Commons
Leon D. Lotter, Amin Saberi, Justine Y. Hansen

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Sept. 12, 2024

Human brain morphology undergoes complex changes over the lifespan. Despite recent progress in tracking development via normative models, current knowledge of underlying biological mechanisms is highly limited. We demonstrate that human cortical thickness and aging trajectories unfold along patterns molecular cellular organization, traceable from population-level to individual developmental trajectories. During childhood adolescence, cortex-wide spatial distributions dopaminergic receptors, inhibitory neurons, glial cell populations, brain-metabolic features explain up 50% variance associated with a lifespan model regional In contrast, modeled change during adulthood are best explained by cholinergic glutamatergic neurotransmitter receptor transporter distributions. These relationships supported gene expression translate longitudinal data 8000 adolescents, explaining 59% at cohort- 18% single-subject level. Integrating neurobiological atlases modeling population neuroimaging provides biologically meaningful path understand living humans.

Language: Английский

Citations

7

Regional patterns of human cortex development correlate with underlying neurobiology DOI Creative Commons
Leon D. Lotter, Amin Saberi, Justine Y. Hansen

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: May 5, 2023

Human brain morphology undergoes complex changes over the lifespan. Despite recent progress in tracking development via normative models, current knowledge of underlying biological mechanisms is highly limited. We demonstrate that human cortical thickness and aging trajectories unfold along patterns molecular cellular organization, traceable from population-level to individual developmental trajectories. During childhood adolescence, cortex-wide spatial distributions dopaminergic receptors, inhibitory neurons, glial cell populations, brain-metabolic features explain up 50% variance associated with a lifespan model regional In contrast, modeled change during adulthood are best explained by cholinergic glutamatergic neurotransmitter receptor transporter distributions. These relationships supported gene expression translate longitudinal data 8,000 adolescents, explaining 59% at cohort- 18% single-subject level. Integrating neurobiological atlases modeling population neuroimaging provides biologically meaningful path understand living humans.

Language: Английский

Citations

14

Comparison of the social gene expression network and social brain network: a resting-state functional magnetic resonance imaging study DOI
Yijing Zhang,

Hao-Yun Zhao,

Peng Li

et al.

Brain Imaging and Behavior, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

Citations

0

Normative structural connectome constrains spreading transient brain activity in generalized epilepsy DOI Creative Commons
Jie Xia, Siqi Yang, Jiao Li

et al.

BMC Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: May 2, 2025

Language: Английский

Citations

0

The multiscale brain structural re-organization that occurs from childhood to adolescence correlates with cortical morphology maturation and functional specialization DOI Creative Commons

Yirong He,

Debin Zeng, Qiongling Li

et al.

PLoS Biology, Journal Year: 2025, Volume and Issue: 23(4), P. e3002710 - e3002710

Published: April 1, 2025

From childhood to adolescence, the structural organization of human brain undergoes dynamic and regionally heterogeneous changes across multiple scales, from synapses macroscale white matter pathways. However, during this period, developmental process multiscale architecture, its association with cortical morphological changes, role in maturation functional remain largely unknown. Here, using two independent multimodal imaging datasets aged 6–14 years, we investigated by constructing an vivo connectome model incorporating tractography, cortico–cortical proximity, microstructural similarity. By employing gradient mapping method, principal derived effectively recapitulated sensory-association axis. Our findings revealed a continuous expansion space development, characterized enhanced differentiation between primary sensory higher-order transmodal regions along gradient. This age-related paralleled morphology. Furthermore, coupling connectivity were correlated specialization refinement, as evidenced participation coefficient. Notably, was associated improved cognitive abilities, such working memory attention performance, potentially underpinned synaptic hormone-related biological processes. These advance our understanding intricate implications for performance.

Language: Английский

Citations

0

Functional network modules overlap and are linked to interindividual connectome differences during human brain development DOI Creative Commons
Tianyuan Lei, Xuhong Liao, Xinyuan Liang

et al.

PLoS Biology, Journal Year: 2024, Volume and Issue: 22(9), P. e3002653 - e3002653

Published: Sept. 18, 2024

The modular structure of functional connectomes in the human brain undergoes substantial reorganization during development. However, previous studies have implicitly assumed that each region participates one single module, ignoring potential spatial overlap between modules. How overlapping modules develop and whether this development is related to gray white matter features remain unknown. Using longitudinal multimodal structural, functional, diffusion MRI data from 305 children (aged 6 14 years), we investigated maturation networks further revealed their structural associations. An edge-centric network model was used identify modules, nodal module affiliations quantified using entropy measure. We showed a regionally heterogeneous topography extent nodes children, with higher (i.e., more involvement) ventral attention, somatomotor, subcortical regions lower less visual default-mode regions. developed linear, spatially dissociable manner, decreased dorsomedial prefrontal cortex, putamen increased parietal lobules lateral cortex. patterns captured individual maturity as characterized by chronological age were predicted integrating morphology microstructural properties. Our findings highlight substrates, thereby advancing our understanding principles connectome

Language: Английский

Citations

3

The continuous differentiation of multiscale structural gradients from childhood to adolescence correlates with the maturation of cortical morphology and functional specialization DOI Creative Commons

Yirong He,

Debin Zeng, Qiongling Li

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 15, 2024

From childhood to adolescence, the structural organization of human brain undergoes dynamic and regionally heterogeneous changes across multiple scales, from synaptic pruning reorganization large-scale anatomical wiring. However, during this period, developmental process multiscale architecture, its association with cortical morphological changes, role in maturation functional remain largely unknown. Here, we utilized a longitudinal multimodal imaging dataset including 276 children aged 6 14 years investigate We used an vivo model wiring that combines features white matter tractography, cortico-cortical proximity, microstructural similarity construct connectome. By employing gradient mapping method, space derived connectome effectively recapitulated sensory-association axis anterior-posterior axis. Our findings revealed continuous expansion development, principal increasingly distinguishing between primary transmodal regions. This age-related differentiation coincided morphology. Furthermore, our study coupling connectivity were correlated specialization refinement, as evidenced by participation coefficient. also found was associated improved cognitive abilities, such enhanced working memory attention performance, potentially supported molecular processes related functions. These advance understanding intricate implications for performance.

Language: Английский

Citations

1

Can gray matter loss in early adolescence be explained by white matter growth? DOI Creative Commons

Jordan A. Chad,

Catherine Lebel

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(9)

Published: June 15, 2024

Abstract A fundamental puzzle about brain development is why the volume of gray matter (GM) apparently declines as white (WM) grows when children enter adolescence. Since pruned synapses are too small to affect GM volume, a prevailing theory posits that an expanded distribution myelin causes inner edge “whiten” while total remains steady, shifting MRI‐measured WM:GM boundary closer brain's outer surface. This inherently predicts loss concurrent with WM growth across regions, within sexes and over time, although these predictions have yet be explicitly tested. In this study, we test by mapping regional volumetric changes in 2333 participants Adolescent Brain Cognitive Development study aged 9–14 years who each received three MRI scans 2 apart. We show average follow distinct spatial, temporal, sex‐specific patterns, indicating not balanced growth, cortical thinning weakly correlated some regions. conclude main source measured loss, propose alternative candidates.

Language: Английский

Citations

1

Defasagem na alfabetização de pacientes oncopediátricos como consequência da terapia oncológica: uma contribuição aos estudos em neurociências DOI Creative Commons

Ana Carolina Rech Dacás,

Andreia Mendes dos Santos,

Fernanda Cesa Ferreira da Silva Moraes

et al.

Caderno Pedagógico, Journal Year: 2024, Volume and Issue: 21(7), P. e6184 - e6184

Published: July 29, 2024

A alfabetização compreende um dos objetivos mais apreciados na educação básica. Espera-se que, ao finalizar o segundo ano do ensino fundamental, estudante esteja alfabetizado. Esta etapa usualmente abrange estudantes terceira infância, período com alterações neurobiológicas que sequenciam avanços cognitivos fundamentais para a alfabetização. Todavia, neurodesenvolvimento infantil é prejudicado pela terapia oncológica. Desta forma, presente pesquisa objetivou estudo da defasagem de pacientes oncopediátricos no tema relevante pelo caráter pioneiro, complementação literatura e fornecimento panorama possibilita desenvolvimento intervenções adaptação acadêmico-social destes estudantes. partir uma abordagem quanti-qualitativa, realizou-se levantamento por meio análise prontuários e, posteriormente, comparou-se os dados grupo referência não oncológico, pareados modo se isolou contexto oncológico como variável interesse. Adicionalmente, conduziu-se bibliográfica qualitativa dados. Os resultados indicaram significativamente maior em comparação referência, possivelmente devido aos impactos oncológica neurobiológico cognitivo infância. Estes promovem sobre este tema, complementam podem apoiar futuras.

Citations

0