1 citations · 1 across the 6 of their papers we have counts for
7 papers
From Signals to Trajectories: A Primer on Low-Dimensional Dynamics in Human EEG and MEG
Vanessa Hadid, Hamza Abdelhedi, Annalisa Pascarella +3
Neural activity unfolds not as a set of independent signals, but as a coordinated dynamical process that can be described as a point moving through a high-dimensional state space.…
A Roadmap for MEG Foundation Models
Philipp Thölke, Hamza Abdelhedi, Yorguin Mantilla-Ramos +7
Foundation models are beginning to reshape brain-signal analysis by moving the field beyond task-specific decoding pipelines toward reusable models pretrained on broad neural datas…
Coord2Region: A Python Package for Mapping 3D Brain Coordinates to Atlas Labels, Literature, and AI Summaries
Hamza Abdelhedi, Yorguin-Jose Mantilla-Ramos, Sina Esmaeili +3
We present Coord2Region, an open-source Python package that streamlines coordinate-based neuroimaging workflows by automatically mapping 3D brain coordinates (e.g., MNI or Talairac…
Parameter estimation tools for cardiovascular flow modeling of fetal circulation
Gabriella Bretti, Roberto Natalini, Annalisa Pascarella +3
Usually, clinicians assess the correct hemodynamic behavior and fetal well-being during the gestational age thanks to their professional expertise, with the support of some indices…
Mining the Mind: Linear Discriminant Analysis of MEG source reconstruction time series supports dynamic changes in deep brain regions during meditation sessions
D. Calvetti, B. Johnson, A. Pascarella +3
Meditation practices have been claimed to have a positive effect on the regulation of mood and emotion for quite some time by practitioners, and in recent times there has been a su…
Brain activity mapping from MEG data via a hierarchical Bayesian algorithm with automatic depth weighting: sensitivity and specificity analysis
Daniela Calvetti, Annalisa Pascarella, Francesca Pitolli +2
A recently proposed IAS MEG inverse solver algorithm, based on the coupling of a hierarchical Bayesian model with computationally efficient Krylov subspace linear solver, has been…
An inversion method based on random sampling for real-time MEG neuroimaging
Annalisa Pascarella, Francesca Pitolli
The MagnetoEncephaloGraphy (MEG) has gained great interest in neurorehabilitation training due to its high temporal resolution. The challenge is to localize the active regions of t…