10 citations · 16 across the 3 of their papers we have counts for
4 papers
Low-dimensional representation of brain networks for seizure risk forecasting
Steven Rico-Aparicio, Martin Guillemaud, Alice Longhena +3
Identifying preictal states -- periods during which seizures are more likely to occur -- remains a central challenge in clinical computational neuroscience. In this study, we intro…
Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy
Martin Guillemaud, Alice Longhena, Louis Cousyn +4
Epilepsy surgery, particularly for temporal lobe epilepsy (TLE), remains a vital treatment option for patients with drug-resistant seizures. However, accurately predicting surgical…
Hyperbolic embedding of brain networks detects regions disrupted by neurodegeneration in Alzheimer's disease
Alice Longhena, Martin Guillemaud, Fabrizio De Vico Fallani +2
Graph theoretical methods have proven valuable for investigating alterations in both anatomical and functional brain connectivity networks during Alzheimer's disease (AD). Recent s…
Detecting local perturbations of networks in a latent hyperbolic embedding space
Alice Longhena, Martin Guillemaud, Mario Chavez
Graph theoretical approaches have been proven to be effective in the characterization of connected systems, as well as in quantifying their dysfunction due to perturbation. In this…