María L. Bringas-Vega

The paper introduces JSPACE, a method for estimating source precision matrices from EEG data, and applies it to create a lifespan atlas of cortical interactions.

This paper introduces a unified framework for batch harmonization in normative modeling, showing how existing methods can be expressed as special cases of a single location-scale equation.

This paper introduces GNM, a hierarchical framework for multi-site brain normative modeling that produces site-invariant z-scores and preserves age-related signals better than existing methods.

The paper introduces {xi}-Net, a generative model of cortical activity that estimates EEG components and connectivity across lifespan using rsEEG data.

The paper compares EEG patterns between COVID-19 survivors, close contacts, and a normative database to identify brain function impairments and abnormal activity patterns.

This study examines the long-term effects of early childhood malnutrition on adult brain function using ERP data from a longitudinal cohort.

The paper compares EEG and MEG source spectra using BC-VARETA and finds no differences in reconstructed sources between the two modalities.

The paper introduces a multimodal neuroimaging and cognitive dataset from 282 healthy Cuban participants, including EEG, MRI, and psychological tests.

This study examines how rHuEPO affects neural activity in Parkinson's patients during a flanker task, showing effects on N1 components in the lingual gyri but not on behavioral performance.

This paper introduces BC-VARETA, a method for estimating brain sources and connectivity from M/EEG data using a frequency domain approach and sparse modeling.