Author

L. Mujica-Parodi

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#machine learning Preprint Sep 2026

Bayesian Uncertainty Quantification for fMRI Functional Connectivity via Simulation-Based Inference

Together these findings provide concrete, scanner-specific guidance for protocol optimization, with direct implications for reducing acquisition costs and improving the reliability of connectivity-based clinical biomarkers, and provide code enabling researchers to derive principled uncertainty bounds from their own dat...

Simon Carter, Ze-Ming Kuang, L. Mujica-Parodi et al. · 0 citations

Open access Sep 2026

Spatially convergent functional MRI signatures of diabetes and male sex identify genetic vulnerabilities to accelerated brain ageing

Abstract Age-related cognitive decline results from complex interactions between neuroendocrine and neurometabolic processes that undergo lifelong degradation, yet the mechanisms underlying these interactions remain poorly understood. This study examined the effects of diabetes and sex on functional brain networks acro...

Anthony G. Chesebro, Luna R. Rohm, Botond B. Antal et al. · Brain Communications · 0 citations

#machine learning Preprint Jul 2025

Scientific Machine Learning of Chaotic Systems Learns Reduced-Order Equations for Neural Populations

PEM-UDE, a method that combines prediction-error methodology with universal differential equations to discover governing equations from limited, noise-corrupted observations, yields a multi-scale neural mass model that ties single-neuron parameters to macroscopic network dynamics and predicts a relationship between con...

Anthony G. Chesebro, David Hofmann, V. Dixit et al. · 1 citation