Anna Pidnebesna

This study uses fMRI to compare neural responses to ancestral, modern, and airborne threats, finding distinct activation patterns for each category.

The paper develops a method to infer group brain networks from intracranial EEG data, revealing interactions between visual streams and hippocampal connectivity during visual processing.

This study evaluates the use of persistent homology in topological data analysis for distinguishing brain states in epilepsy and schizophrenia using functional connectivity data.

The paper introduces a measure called Typicality of Functional Connectivity to assess motion artifacts in resting state fMRI data across multiple datasets and preprocessing pipelines.

The paper introduces a novel method to estimate neuronal activity from fMRI data by combining sparse regression solutions with a Bayes classifier, showing improved performance over standard approaches.