Annalisa Pascarella
Annalisa Pascarella
Ricercatore, Istituto per le Applicazioni del Calcolo "Mario Picone", CNR, Roma
Email verificata su iac.cnr.it - Home page
Titolo
Citata da
Citata da
Anno
Dynamical MEG source modeling with multi‐target Bayesian filtering
A Sorrentino, L Parkkonen, A Pascarella, C Campi, M Piana
Human brain mapping 30 (6), 1911-1921, 2009
592009
The impact of MEG source reconstruction method on source-space connectivity estimation: a comparison between minimum-norm solution and beamforming
AS Hincapié, J Kujala, J Mattout, A Pascarella, S Daligault, C Delpuech, ...
Neuroimage 156, 29-42, 2017
512017
A Rao–Blackwellized particle filter for magnetoencephalography
C Campi, A Pascarella, A Sorrentino, M Piana
Inverse Problems 24 (2), 025023, 2008
412008
Wind-induced salt-wedge intrusion in the Tiber river mouth (Rome–Central Italy)
F Manca, G Capelli, F La Vigna, R Mazza, A Pascarella
Environmental Earth Sciences, 1-13, 2014
352014
A hierarchical Krylov–Bayes iterative inverse solver for MEG with physiological preconditioning
D Calvetti, A Pascarella, F Pitolli, E Somersalo, B Vantaggi
Inverse Problems 31 (12), 125005, 2015
342015
Visbrain: a multi-purpose GPU-accelerated open-source suite for multimodal brain data visualization
E Combrisson, R Vallat, C O'Reilly, M Jas, A Pascarella, A Saive, T Thiery, ...
Frontiers in Neuroinformatics 13, 14, 2019
282019
Highly automated dipole estimation (HADES)
C Campi, A Pascarella, A Sorrentino, M Piana
Computational intelligence and neuroscience 2011, 2011
252011
Measuring alterations in oscillatory brain networks in schizophrenia with resting-state MEG: State-of-the-art and methodological challenges
G Alamian, AS Hincapié, A Pascarella, T Thiery, E Combrisson, AL Saive, ...
Clinical Neurophysiology 128 (9), 1719-1736, 2017
242017
Brain activity mapping from MEG data via a hierarchical Bayesian algorithm with automatic depth weighting
D Calvetti, A Pascarella, F Pitolli, E Somersalo, B Vantaggi
Brain topography 32 (3), 363-393, 2019
202019
NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines
D Meunier, A Pascarella, D Altukhov, M Jas, E Combrisson, T Lajnef, ...
NeuroImage 219, 117020, 2020
152020
Source modeling of ElectroCorticoGraphy (ECoG) data: Stability analysis and spatial filtering
A Pascarella, C Todaro, M Clerc, T Serre, M Piana
Journal of neuroscience methods 263, 134-144, 2016
132016
Particle filtering, beamforming and multiple signal classification for the analysis of magnetoencephalography time series: a comparison of algorithms
A Pascarella, A Sorrentino, C Campi, M Piana
Inverse Problems & Imaging 4 (1), 169, 2010
132010
Spatiotemporal dynamics in understanding hand—object interactions
P Avanzini, M Fabbri-Destro, C Campi, A Pascarella, G Barchiesi, ...
Proceedings of the National Academy of Sciences 110 (40), 15878-15885, 2013
122013
Statistical Approaches to the Inverse Problem
A Pascarella, A Sorrentino
Magnetoencephalography, 2011
102011
Particle filters and rap-music in meg source modelling: a comparison
A Pascarella, A Sorrentino, M Piana, L Parkkonen
International congress series 1300, 161-164, 2007
92007
Patient, interrupted: MEG oscillation dynamics reveal temporal dysconnectivity in schizophrenia
G Alamian, A Pascarella, T Lajnef, L Knight, J Walters, KD Singh, K Jerbi
NeuroImage: Clinical 28, 102485, 2020
32020
Particle filters for the magnetoencephalography inverse problem: increasing the efficiency through a semi-analytic approach (Rao–Blackwellization)
A Sorrentino, A Pascarella, C Campi, M Piana
Journal of Physics: Conference Series 124 (1), 012046, 2008
32008
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, F Pitolli, E Somersalo, B Vantaggi
Brain topography 34 (6), 840-862, 2021
22021
A comparative analysis of algorithms for the magnetoencephalography inverse problem
A Sorrentino, A Pascarella, C Campi, M Piana
Journal of Physics: Conference Series 135 (1), 012094, 2008
22008
Less Is Enough: Assessment of the Random Sampling Method for the Analysis of Magnetoencephalography (MEG) Data
C Campi, A Pascarella, F Pitolli
Mathematical and Computational Applications 24 (4), 98, 2019
12019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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