Yuejia Luo

The paper shows that replay-DMN coordination develops with age, predicting grid-like representations in the entorhinal cortex during memory formation.

The paper shows that non-spatial grid-like neural codes in the entorhinal cortex develop with age and correlate with inferential reasoning and intelligence.

This study uses EEG-fMRI to examine brain-wide activation during neural replay, finding correlations between replay strength and hippocampal activity, medial prefrontal cortex activity, and connectivity to the default mode network.

This study investigates how trait anxiety affects reciprocity behavior using a trust game, computational modeling, eye-tracking, and ERPs, finding distinct impacts on core and peripheral factors.

This study uses EEG to investigate offline learning mechanisms, finding that backward replay strength correlates with trait anxiety and reward preference.

The paper investigates how fear affects adaptation to environmental volatility using computational modeling and neuroimaging, finding that fear suppresses adaptive learning in volatile environments.

This study examines how hubs in cross-tissue functional networks reconfigure in Alzheimer's disease based on anatomical distance, identifying changes in functional connectivity patterns.

The paper investigates resting-state brain network organization using intracranial EEG, finding distinct connectivity patterns in key networks.

This study uses resting-state fMRI to identify neural patterns predicting motivated dishonesty through functional connectivity analysis.

The paper investigates the temporal dynamics of emotion-cognition integration using EEG, finding distinct theta and alpha oscillation patterns for emotion processing, cognitive processing, and their integration.

The paper examines changes in functional network properties within and between white matter and grey matter in Alzheimer's disease using resting-state fMRI data, identifying compensatory reconfiguration patterns.

The paper investigates how environmental volatility affects learning and brain organization, finding asymmetric behavioral and neural adaptations when transitioning from volatile to stable environments.

This study examines how long-term stress and trait anxiety interact to affect brain network balance during working memory tasks, finding altered decision-making and network dynamics.

This paper uses connectome-based predictive modeling to predict individual anxiety levels from resting-state functional connectivity data in healthy participants, identifying key brain regions and their connectivity patterns.