Andreea Oliviana Diaconescu

Investigating the Causal Relationship between Neuroticism and Alzheimer's Disease Using Mendelian Randomization and the Mediating Role of Modifiable Risk Factors

This study uses Mendelian randomization and mediation analysis to show that neuroticism's link to Alzheimer's disease is mediated by modifiable factors like depression, hypertension, and alcohol consumption, rather than being causal.

Evaluating the quality of brainstem ROI registration using structural and diffusion MRI

The paper evaluates diffusion MRI's role in improving brainstem ROI registration accuracy compared to T1w-only methods, showing better performance with diffusion-based pipelines.

A Connectome-Constrained Jansen-Rit Framework for Inferring Cortical Gain Control and Ensemble Stability

The paper introduces a connectome-constrained Jansen-Rit model to infer cortical gain control and ensemble stability using variational free-energy inversion and sliding-window analysis.

A computational neuroimaging account of impulsive premature decision-making

The paper uses computational modeling and fMRI to investigate how environmental uncertainty influences premature decision-making impulsivity in humans.

Ketamine and Psilocybin Differentially Impact Sensory Learning During the Mismatch Negativity

This study compares the effects of ketamine and psilocybin on sensory learning using EEG and computational modeling, finding distinct neural impacts on precision and volatility in auditory mismatch negativity.

Comparative Computational Modeling of Approach-Avoidance Biases in Suicidal Populations via Hierarchical Bayesian Inference

This study compares computational models of approach-avoidance biases in suicidal populations using hierarchical Bayesian inference, finding that simpler models with value decay better explain behavior than complex ones.

The effect of lysergic acid diethylamide (LSD) on whole-brain functional and effective connectivity

This study investigates LSD's effects on brain connectivity using fMRI and finds increased interregional connectivity and reduced self-inhibition, suggesting a disruption of the Excitation/Inhibition balance.

Deep Learning-Based Parameter Estimation for Neurophysiological Models of Neuroimaging Data

The paper introduces a deep learning approach to estimate parameters in connectome-based neural mass models using fMRI data and demonstrates its effectiveness on synthetic and real resting-state fMRI data.

Neural Arbitration between Social and Individual Learning Systems

The paper investigates how people weigh self-gathered versus social information in decision-making using Bayesian models and fMRI, showing distinct brain regions for each type of information.

Ketamine Affects Prediction Errors About Statistical Regularities: A Computational Single-Trial Analysis of the Mismatch Negativity

This study shows ketamine reduces high-level prediction errors in a roving MMN paradigm, supporting the role of NMDAR in hierarchical Bayesian inference.

Atypical processing of uncertainty in individuals at risk for psychosis

The paper examines abnormal processing of uncertainty in at-risk mental state individuals using computational models and fMRI, finding increased volatility estimates and altered cortical activation patterns.

Catecholamine Challenge Uncovers Distinct Mechanisms For Direct Versus Indirect, But Not Social Versus Non-Social, Learning

The paper tests whether social and individual learning differ due to social nature or directness using a catecholamine challenge, finding distinct effects on direct and indirect learning but not on social versus non-social learning.