Jia‐Hong Gao

This study identifies brain-wide activation patterns during sleep rhythms using EEG and fMRI, showing thalamus and hippocampus involvement in memory processes.

This paper introduces a wearable OPM-MEG system that enables brain activity localization in an open environment without magnetic shielding.

The paper develops population-specific brain charts for Chinese individuals, revealing distinct neurodevelopmental patterns compared to Western populations and showing better performance in predicting brain phenotypes.

The paper analyzes functional and structural MRI data from 33,250 individuals to map lifespan changes in the functional connectome, identifying key developmental stages and differences in neurological disorders.

The paper develops and validates age- and sex-specific normative models of brain morphometry across diverse ethnoracial groups, showing high accuracy in multiple populations.

The paper identifies a common frontal-temporal network for motor synchronization to auditory and visual rhythms, showing it is based on intrinsic cortical connections rather than sensory experience.

The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.

This study investigates how multiscale structural brain gradients develop from childhood to adolescence and links these changes to cortical morphology and functional specialization.

This study investigates how overlapping functional modules in the developing human brain change with age and their structural correlates using multimodal MRI data.

This study identifies two distinct ADHD biotypes based on brain morphology, showing different treatment responses and genetic correlates.

The paper maps cortical thinning patterns during childhood to adolescence, showing they are structurally constrained by white matter networks and linked to gene expression signatures.

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

SACNet corrects susceptibility artifacts in dMRI scans using a registration network with neuroanatomical constraints, showing improved performance across diverse datasets.

This paper introduces TRIGGER, a 3T MRI technique for high-resolution neural activity recording in awake humans, showing millisecond temporal resolution and hemispheric response timing.

The paper examines changes in white matter latency structure during wakefulness and NREM sleep using EEG-fMRI data, revealing dynamic reorganizations of signal propagation.

This study shows that growth mindset enhances working memory development through optimized cortico-striatal network dynamics that balance flexibility and stability.

This paper introduces a deep learning framework to harmonize multisite neuroimaging data by removing site effects while preserving biological features, showing improved performance over traditional methods.

This study tracks the development of a primary-to-transmodal gradient in the brain from childhood to adolescence, linking it to cognitive functions and gene expression.

The paper examines the longitudinal development of brain network dynamics during childhood and adolescence, linking changes to gene expression profiles and ion transport-related genes.

The paper shows pre-stimulus alpha oscillations predict decision confidence by modulating post-stimulus theta oscillations in specific brain regions.

The paper investigates how color knowledge is represented in the brain, finding that both sensory-derived and cognitively-derived systems exist, with a specific region supporting color knowledge in both blind and sighted individuals.

This study uses qMRI and fMRI to find that early second language acquisition enhances microstructural cortical development in bilinguals.

The paper creates age-appropriate structural brain atlases for Chinese children using MRI data and shows they improve brain age prediction compared to Western-based atlases.