Pablo I. Polosecki

Alzheimers Disease Brain Phenotypes are Age-dependent

This paper shows that age information is essential for Alzheimer's Disease detection using brain MRI, outperforming age-invariant methods and revealing flaws in brain-age gap as a biomarker.

Multimodal fusion of brain signals for robust prediction of psychosis transition

The paper uses multimodal machine learning to predict psychosis conversion and finds that integrating multiple data types improves prediction accuracy.

The control of overt and covert attention across two nodes of the attention-control network

The paper tests priority map theory by analyzing electrophysiological data from two brain areas, finding they process spatial attention differently and challenge existing models of attention control.

MVD-Fuse: Detection of White Matter Degeneration via Multi-View Learning of Diffusion Microstructure

MVD-Fuse integrates diffusion MRI models to detect white matter degeneration, showing improved classification of pre-HD and healthy controls with MKL fusion.

Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM

The paper introduces a nonlinear differential equation model for brain dynamics using van der Pol oscillators and improves LSTM performance through model-specific data augmentation.