Alex Nguyen

This paper introduces Hypercoding, a high-plex biomarker detection platform that enables sensitive and quantitative analysis of multi-omic targets with high accuracy and resolution.

This study shows sleep deprivation reduces brain network flexibility by altering thalamic regulation and coupling with cortical networks, leading to cognitive impairments.

The paper uses real-time fMRI neurofeedback to induce coactivation of competing memories in visual cortex, leading to behavioral and neural integration in the hippocampus.

This paper applies beamforming spatial filtering to EEG-fMRI data to improve detection of sleep spindles and enhance fMRI GLM analysis by reducing BCG artefacts.

The paper investigates how NREM sleep stages N2 and N3 modulate cognitive recovery after sleep deprivation by analyzing brain network segregation using fMRI and a new hierarchical segregation index.

This paper introduces an unsupervised neural network model that explains memory integration and differentiation based on competitor activity levels, showing rapid and asymmetric differentiation with anticorrelated representations.

This paper introduces a data-driven beamforming technique to reduce BCG artefacts in EEG-fMRI without using ECG signals, improving signal recovery for task-based neural activity.

This study shows that sleep deprivation alters the balance of cortical network integration and segregation, which correlates with cognitive deficits and recovery after a nap.