Xi‐Nian Zuo

The paper develops population-specific white matter charts for Chinese and Western populations, showing differences in maturation timing and improved prediction accuracy when using population-matched models.

This paper shows that task engagement in fMRI reorganizes infra-slow BOLD dynamics by redistributing power across frequencies rather than just adding to ongoing activity.

The paper tracks five-year longitudinal data of children learning abacus-based mental calculation to show how sustained practice reconfigures whole-brain states and enables complex skill acquisition.

This study systematically reviews and meta-analyzes social functioning in autism, identifying developmental patterns and domain interdependencies across 2,622 studies.

The paper identifies a nonlinear developmental trajectory of the language network through multimodal neuroimaging and behavioral measures, showing stages of localization, distributed state, and return to localization.

This study evaluates the reliability and validity of multi-band multi-echo fMRI for mapping individual differences in spontaneous brain activity, showing improved reliability and detectable differences in resting states.

The paper introduces PDHC, a multivariate metric to measure hemispheric functional asymmetry, showing reliability, robustness, and individual specificity across development and genetics.

This paper introduces a spatiotemporal connectome framework to map the human brain's action network using spatial connectivity, revealing its functional architecture and energy-saving dynamics.

The paper introduces SoHo, a metric to quantify local cortical homogeneity using whole-brain functional connectivity, and shows it aligns with parcellation boundaries and captures evolutionary gradients across primates.

The paper introduces Reproducible Brain Charts (RBC), an open data resource integrating brain development data from 6,346 youth, showing the benefits of harmonized phenotypes and reproducible processing for studying psychopathology.

This study maps how cortical organization matures across childhood and adolescence by analyzing frequency-specific brain activity, revealing distinct developmental stages and individual differences linked to cognitive and social traits.

This study examines how functional homotopy changes with age and its relationship with intelligence in children and adolescents, finding that higher IQ individuals show faster hemispheric specialization.

This paper identifies amplitude-dependent co-fluctuation transitions along the sensorimotor-association axis using resting-state fMRI data across developmental stages and external stimuli.

The paper examines how domain-general brain networks contribute to verbal intelligence development using structural brain data from children and adolescents.

The paper examines how stable and changing brain network features predict cognitive development in adolescents using rs-fMRI and cognitive data from the ABCD Study.

The paper identifies sgACC functional connectivity abnormalities in depression using large-scale brain imaging data and develops an individualized TMS targeting algorithm to improve treatment outcomes.

This paper introduces DELSSOME, a deep learning framework that accelerates biophysical brain circuit model optimization, enabling faster parameter estimation and lifespan trajectory analysis of cortical E/I ratios.

The paper introduces CABIC, a dataset of MRI scans from Chinese autistic and typically developing children, revealing distinct brain growth patterns and highlighting ethnic and cultural differences in neurodevelopment.

The paper analyzes longitudinal neuroimaging data to show that global cortical entropy decreases with aging, with cohort effects and varying rates across cortical networks.

The paper links ventral attention network connectivity to cortical maturation and cognitive ability in children using independent datasets.

AmygdalaGo-BOLT improves amygdala segmentation accuracy and efficiency in pediatric MRI scans across multiple centers and ages.

This study investigates BOLD oscillations across multiple frequency bands in task-fMRI data to reveal their distinct roles in cognitive processes.

The paper examines how social anxiety relates to amygdala geometry changes during puberty, finding shifts in amygdala volume associations with social anxiety across developmental stages.

This paper introduces HFA, a method to map functional homotopy in the human brain using resting-state fMRI data, revealing hemispheric specialization and subregions in the TPJ.

This paper identifies a dual long-axis organization in the human hippocampus during youth, showing its role in cortical hierarchy maturation and functional reorganization.

This paper introduces a multicentre database, periCBD, linking perinatal factors to brain-mind development in children aged 3-10 years to study neurodevelopmental disorders.

The paper introduces a longitudinal dataset of school-age children and adolescents in China, detailing its design, sampling, and neuroimaging measurements.

The paper develops homotopic local-global parcellations of the human cerebral cortex using resting-state and task-fMRI, showing improved homogeneity and lateralization compared to existing parcellations.

The paper benchmarks ifNN methods to improve test-retest reliability of individual differences in spontaneous brain activity using the Human Connectome Project.

This paper introduces a low-resource pipeline for estimating connectomes from MRI data, demonstrating its reliability across diverse datasets without manual intervention.