Tianmei Si

This paper constructs sex-specific lifespan brain charts using neuroimaging data from 59,915 individuals, revealing dynamic sex differences in brain development and improving detection of neuropsychiatric abnormalities.

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

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 identifies two neurophysiological subtypes of MDD using normative models of functional connectivity in a large multisite fMRI dataset.

This study identifies dysfunction in the principal connectome gradient in MDD and links it to gene expression profiles related to transsynaptic signaling and calcium ion binding.

The paper analyzes resting-state fMRI data from 1,300 MDD patients and 1,128 controls to find reduced default mode network functional connectivity in recurrent MDD, not first-episode MDD.

This study investigates reproducibility of functional brain alterations in MDD using a large multisite R-fMRI dataset and finds consistent patterns across centers but notes influences from clinical factors.