Yuelu Liu

Decoding Multivoxel Representations of Affective Scenes in Retinotopic Visual Cortex

This study uses EEG and fMRI with machine learning to show that affective pictures evoke valence-specific neural representations in retinotopic visual cortex, influenced by limbic and frontal connectivity.

Fear conditioning prompts sparser representations of conditioned threat in primary visual cortex

This study shows that fear conditioning leads to sparser neural representations of threat cues in primary visual cortex, associated with changes in alpha oscillations and BOLD signals.

Machine learning identifies large-scale reward-related activity modulated by dopaminergic enhancement in major depression

The paper uses machine learning to analyze fMRI data and identifies reward-related brain activity changes in MDD patients after dopaminergic enhancement.

Machine learning models identify multimodal measurements highly predictive of transdiagnostic symptom severity for mood, anhedonia, and anxiety

The paper develops machine learning models using multimodal data to predict transdiagnostic psychiatric symptom severity, achieving high variance explanation and revealing key predictors.

Highly Predictive Transdiagnostic Features Shared across Schizophrenia, Bipolar Disorder, and ADHD Identified Using a Machine Learning Based Approach

The paper identifies transdiagnostic features shared across schizophrenia, bipolar disorder, and ADHD using machine learning on self-reported data, showing high predictive power for distinguishing patients from controls.