2/4/2025 | 3:30 PM - 5:30 PM | Regency B

Precision dynamical mapping (PDM) for capturing transitions in brain activity using noninvasive neuroimaging data

Author(s)

Manish Saggar | Stanford University
James Shine
Raphaël Liégeois
Nico Dosenbach
Damien Fair

Abstract

Precision Dynamical Mapping (PDM), a novel approach leveraging Topological Data Analysis (TDA), captures complex brain dynamics without collapsing spatial or temporal information. Applying the TDA-based Mapper method to fMRI data, PDM reveals intricate transitions in brain activity during rest and cognitive tasks in healthy and patient populations. Our method identifies a crucial transition state acting as a switch between neural configurations characterized by uniform representation of resting-state networks. By mapping the activity landscape, PDM uncovers subject-specific network combinations, providing insights into individual brain function. This approach allows for high-resolution visualization and characterization of brain dynamics, offering a unique perspective on neural activity fluctuations across different cognitive states and populations. Additionally, I will also present preliminary clinical results from our recent studies, highlighting PDM's potential in characterizing psychiatric disorders. Our work showcases the power of merging advanced computational methods with neuroimaging, opening new avenues for personalized diagnostics and targeted interventions in mental health disorders.