Ye Tian

The paper examines frontolimbic functional connectivity development from birth to emerging adulthood, finding that fronto-hippocampus and fronto-amygdala connectivity differentiate with distinct developmental timing and sensitivity to adversity and cognitive ability.

This study investigates the relationship between pubertal hormones and brain structure/function in adolescent females using multimodal MRI data from a large cohort.

The paper examines how oestradiol timing and tempo in adolescent females relate to brain development and mental health symptoms using longitudinal data from the ABCD Study.

The paper introduces a deep learning model to generate individual connectomes from personal attributes and shows it can accurately replicate empirical connectomes from the UK Biobank.

The paper identifies nine neuroimaging endophenotypes linked to genetic loci and shows they improve prediction of systemic diseases and mortality.

This study benchmarks 239 pairwise interaction statistics for functional connectivity mapping, finding substantial variation in their topological, neurobiological, and behavioral properties.

This study identifies 393 genomic loci associated with biological age gaps in nine human organ systems using UK Biobank data, revealing organ-specific and pleiotropic genetic effects.

The paper uses GWAS summary statistics to analyze the genetic architecture of 2024 multi-organ AI endophenotypes, revealing genetic correlations and causal relationships across diseases.

The paper investigates the reliability of feature weights in machine learning models predicting cognition from functional connectivity and finds poor reliability despite modest prediction accuracy.

The paper reveals the topographic organization of the human subcortex using resting-state fMRI data from 1000 adults, identifying four scales of organization and 27 new regions, and introduces a new subcortical atlas.

The paper maps individual deviations from normative brain structure in schizophrenia patients and finds high heterogeneity, with most patients showing infra-normal deviations in at least one region.

The paper examines how brain age gaps relate to psychopathology dimensions in youth, finding significant associations with psychosis, obsessive-compulsive, and general psychopathology.

This study shows that network communication models enhance the prediction of behavior and strengthen structure-function coupling in the human structural connectome.