Abstract
INTRODUCTION
Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD) lack mechanistic biophysical modeling in diverse, underrepresented populations. Electroencephalography (EEG) is a high temporal resolution, cost-effective technique for studying dementia globally, but lacks mechanistic models and produces non-replicable results.
METHODS
We developed a generative whole-brain model that combines EEG source-level metaconnectivity, anatomical priors, and a perturbational approach. This model was applied to Global South participants (AD, bvFTD, and healthy controls).
RESULTS
Metaconnectivity outperformed pairwise connectivity and revealed more viscous dynamics in patients, with altered metaconnectivity patterns associated with multimodal disease presentation. The biophysical model showed that connectome disintegration and hypoexcitability triggered altered metaconnectivity dynamics and identified critical regions for brain stimulation. We replicated the main results in a second subset of participants for validation with unharmonized, heterogeneous recording settings.
DISCUSSION
The results provide a novel agenda for developing mechanistic model-inspired characterization and therapies in clinical, translational, and computational neuroscience settings.
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This post is Copyright: Carlos Coronel‐Oliveros,
Raúl Gónzalez Gómez,
Kamalini Ranasinghe,
Agustín Sainz‐Ballesteros,
Agustina Legaz,
Sol Fittipaldi,
Josephine Cruzat,
Rubén Herzog,
Gorsev Yener,
Mario Parra,
David Aguillon,
Francisco Lopera,
Hernando Santamaria‐Garcia,
Sebastián Moguilner,
Vicente Medel,
Patricio Orio,
Robert Whelan,
Enzo Tagliazucchi,
Pavel Prado,
Agustín Ibañez | March 19, 2024