Marlis Ontivero-Ortega

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

The paper uses fMRI data to predict Navon letter stimuli from intra-V1 functional networks, showing inter-individual stability but intra-individual variability in shape prediction.

The paper examines intra-V1 networks during perceptual tasks, finding condition-specific connection strengths linked to visual field regions.

The paper identifies cortical regions specialized for processing global and local shape levels in visual objects and shows they form distinct functional pathways within the ventral-temporal-cortex.

The paper uses machine learning to compare brain network configurations in task-based and resting-state fMRI data, finding that task-related areas show consistent connectivity patterns while others differ.