Ruiyang Ge

Medication and Developmental Stage Shape the Brain-Age Gap in ADHD

This study shows that brain-age gaps in ADHD vary with medication use and developmental stage, with abnormalities more common in unmedicated children than adolescents.

The Cortical Temporal Axis: MEG-Based Cross-Frequency Gradients with Biological Anchors

This paper uses MEG data to create cross-frequency neurophysiological gradients that represent cortical organization, showing alignment with known functional and structural axes and disruptions in Parkinson's disease.

Neurodevelopmental Impact of Bipolar Disorder Genetic Risk on Cortical Thickness and Network Topology in Adolescents

This study examines how genetic risk for bipolar disorder affects cortical thickness and network topology in adolescents using PRS and neuroimaging data from the ABCD cohort.

Adolescents with major depression featured by sensory-association subtyping show divergent information dynamics and streams

This study identifies two subtypes of adolescent major depression based on sensory-association gradients, showing divergent information dynamics and clinical correlates.

Generalizability of Normative Models of Brain Morphometry Across Distinct Ethnoracial Groups

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

Brain-Age Prediction: Systematic Evaluation of Site Effects, and Sample Age Range and Size

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.

Normative Modeling of Brain Morphometry Across the Lifespan using CentileBrain: Algorithm Benchmarking and Model Optimization

The paper benchmarks and optimizes a normative modeling framework for brain morphometry across the lifespan using MFPR, showing excellent accuracy and stability.

Normative modeling of brain morphometry in Clinical High-Risk for Psychosis

This study examines brain morphometric deviations in individuals at clinical high-risk for psychosis and finds they largely overlap with healthy variation and are not strongly associated with symptom severity or conversion to psychosis.

Sex differences in predictors and regional patterns of brain-age-gap estimates

The paper examines sex differences in brain-age-gap estimates using neuroimaging data from the Human Connectome Project, finding sex-specific patterns in regional brain ageing and predictors of global brainAGE.

Implementation of a TMS-fMRI system: A primer

This paper investigates the impact of TMS pulses on fMRI image quality in a TMS-fMRI system and finds minimal noise artifacts in the setup.

SS-Detect: Development and Validation of a New Strategy for Source-Based Morphometry in Multi-Scanner Studies

SS-Detect improves source-based morphometry in multi-scanner studies by detecting both common and scanner-specific brain patterns with higher accuracy and sensitivity than conventional methods.