A5103105402- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Aging and Gerontology Research
- Mental Health Research Topics
- Attention Deficit Hyperactivity Disorder
- Geological and Geochemical Analysis
- Geological Studies and Exploration
- Technology Use by Older Adults
- Geochemistry and Geologic Mapping
Beijing Normal University
2020-2025
Chinese Institute for Brain Research
2021-2025
McGovern Institute for Brain Research
2024
State Key Laboratory of Cognitive Neuroscience and Learning
2023
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...
Human cognition and behaviors depend upon the brain's functional connectomes, which vary remarkably across individuals. However, whether how connectome individual variability architecture is structurally constrained remains largely unknown. Using tractography- morphometry-based network models, we observed spatial convergence of structural variability, with higher in heteromodal association regions lower primary regions. We demonstrated that significantly predicted by a unifying pattern this...
The lifespan growth of the functional connectome remains unknown. Here, we assemble task-free and structural magnetic resonance imaging data from 33,250 individuals aged 32 postmenstrual weeks to 80 years 132 global sites. We report critical inflection points in nonlinear curves mean variance connectome, peaking late fourth third decades life, respectively. After constructing a fine-grained, lifespan-wide suite system-level brain atlases, show distinct maturation timelines for segregation...
Highlights•Brain hubs shift from primary to association regions during the first 1,000 days of life•Functional segregation and integration develop along an anterior-posterior axis•Neonatal connectomes predict cognitive language outcomes at 1.5 years age•Network growth is regulated by genes involved in neurodevelopment metabolismSummaryThe human life lay foundation for brain development later growth. However, developmental rules functional connectome this critical period remain unclear. Using...
Abstract Human functional brain networks are dynamically organized to enable cognitive and behavioral flexibility meet ever-changing environmental demands. Frontal-parietal network (FPN) default mode (DMN) recognized play an essential role in executive functions such as working memory. However, little is known about the developmental differences brain-state dynamics of these two involved memory from childhood adulthood. Here, we implemented Bayesian switching dynamical systems approach...
The topological organization of human brain networks can be mathematically characterized by the connectivity degree distribution network nodes. However, there is no clear consensus on whether structure follows a power law or other probability distributions, and it altered in Alzheimer's disease (AD). Here we employed resting-state functional MRI graph theory approaches to investigate fitting distributions whole-brain seven subnetworks healthy subjects individuals with amnestic mild cognitive...
Abstract The structural connectome (SC) is tightly coupled to the functional (FC) in human brain. Most previous related studies have modeled and analyzed SC or FC as isolated brain networks. However, challenges remain modeling interdependent structural-functional elucidating its cognitive implications molecular underpinnings. Here, we present a multilayer model composed of components further characterize their interacting topological properties. We found that topographically heterogeneous,...
Motivation: The normative developmental and aging trajectory of the functional connectome in human brain remains unknown. Goal(s): To establish growth from largest, quality-controlled multimodal neuroimaging dataset. Approach: We aggregated 33,809 task-free fMRI scans 32,328 individuals aged 32 postmenstrual weeks to 80 years 119 global sites, quantified lifespan charts using generalized additive models for location, scale, shape (GAMLSS). Results: uncovered nonlinear at whole cortex,...
Motivation: 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. Goal(s): We aim to model how maturational pattern shaped by white matter connectome architecture. Approach: integrated neuroimaging, connectome, transcriptome analyses computational modeling. Results: found patterns are constrained particularly represented using a network-based diffusion...
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. Using neuroimaging, connectome, transcriptome, computational modeling, we mapped patterns primarily located in lateral frontal parietal heteromodal nodes adolescence, which structurally constrained by white matter network architecture particularly represented using a network-based diffusion...
Abstract Human cognition and behaviors depend upon the brain’s functional connectomes, which vary remarkably across individuals. However, whether how connectome individual variability architecture is structurally constrained remains largely unknown. Using tractography- morphometry-based network models, we observed spatial convergence of structural variability, with higher in heteromodal association regions lower primary regions. We demonstrated that significantly predicted by a unifying...
Abstract Background The topological organization of human brain networks can be mathematically characterized by the connectivity degree distribution network nodes. However, there is no clear consensus on whether structure follows a power law or other probability distributions, and it disrupted in Alzheimer’s disease(AD) its prodromal stage, mild cognitive impairment(MCI). We investigated fitting nodal whole‐brain functional 7 subnetworks healthy controls(HC) individuals with MCI AD. Method...