PASCARELLA, ANNALISA
PASCARELLA, ANNALISA
Istituto Applicazioni del Calcolo ''Mauro Picone''
EEGManyPipelines: A Large-scale, Grassroots Multi-analyst Study of Electroencephalography Analysis Practices in the Wild
2024 Trübutschek, Darinka; Yang, Yu-Fang; Gianelli, Claudia; Cesnaite, Elena; Fischer, Nastassja L.; Vinding, Mikkel C.; Marshall, Tom R.; Algermissen, Johannes; Pascarella, Annalisa; Puoliväli, Tuomas; Vitale, Andrea; Busch, Niko A.; Nilsonne, Gustav
Functional balance at rest of hemispheric homologs assessed via normalized compression distance
2024 Pascarella, A.; Bruni, V.; Armonaite, K.; Porcaro, C.; Conti, L.; Cecconi, F.; Paulon, L.; Vitulano, D.; Tecchio, F.
Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data
2024 Leone, F.; Caporali, A.; Pascarella, A.; Perciballi, C.; Maddaluno, O.; Basti, A.; Belardinelli, P.; Marzetti, L.; Di Lorenzo, G.; Betti, V.
Mindfulness meditation styles differently modulate source-level MEG microstate dynamics and complexity
2024 D'Andrea, A.; Croce, P.; O'Byrne, J.; Jerbi, K.; Pascarella, A.; Raffone, A.; Pizzella, V.; Marzetti, L.
On propagation in networks, promising models beyond network diffusion to describe degenerative brain diseases and traumatic brain injuries
2024 Vergni, D.; Stolfi, P.; Pascarella, A.
The SESAMEEG package: a probabilistic tool for source localization and uncertainty quantification in M/EEG
2024 Luria, G.; Viani, A.; Pascarella, A.; Bornfleth, H.; Sommariva, S.; Sorrentino, A.
A resting state EEG study on depressed persons with suicidal ideation
2023 Amico, Francesco; DE CANDITIIS, Daniela; Castiglione, Filippo; Pascarella, Annalisa; Venerelli, Noemi; Fagan, V; Yek, H; Brophy, Justin
An in-vivo validation of ESI methods with focal sources
2023 Pascarella, Annalisa; Mikulan, Ezequiel; Sciacchitano, Federica; Sarasso, Simone; Rubino, Annalisa; Sartori, Ivana; Cardinale, Francesco; Zauli, Flavia; Avanzini, Pietro; Nobili, Lino; Pigorini, Andrea; Sorrentino, Alberto
Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data
2023 Thölke, Philipp; MantillaRamos Yorguin, Jose; Abdelhedi, Hamza; Maschke, Charlotte; Dehgan, Arthur; Harel, Yann; Kemtur, Anirudha; Mekki Berrada, Loubna; Sahraoui, Myriam; Young, Tammy; Bellemare Pépin, Antoine; El Khantour, Clara; Landry, Mathieu; Pascarella, Annalisa; Hadid, Vanessa; Combrisson, Etienne; O'Byrne, Jordan; Jerbi, Karim
Solution of the EEG inverse problem by random dipole sampling
2023 Della Cioppa, L; Tartaglione, M; Pascarella, A; Pitolli, F
special Issue: Methods and Applications for Anomaly Detection
2023 De Canditiis Daniela; Pascarella Annalisa
The IAS-MEEG Package: A Flexible Inverse Source Reconstruction Platform for Reconstruction and Visualization of Brain Activity from M/EEG Data
2023 Calvetti, D.; Pascarella, A.; Pitolli, F.; Somersalo, E.; Vantaggi, B.
The IAS-MEEG Package: A Flexible Inverse Source Reconstruction Platform for Reconstruction and Visualization of Brain Activity from M/EEG Data
2023 Calvetti, Daniela; Pascarella, Annalisa; Pitolli, Francesca; Somersalo, Erkki; Vantaggi, Barbara
The impact of ROI extraction method for MEG connectivity estimation: Practical recommendations for the study of resting state data.
2023 Brkic, Diandra; Sommariva, Sara; Schuler Anna, Lisa; Pascarella, Annalisa; Belardinelli, Paolo; Isabella Silvia, L; Pino Giovanni, Di; Zago, Sara; Ferrazzi, Giulio; Rasero, Javier; Arcara, Giorgio; Marinazzo, Daniele; Pellegrino, Giovanni
Tuning Minimum-Norm regularization parameters for optimal MEG connectivity estimation
2023 Vallarino, Elisabetta; Hincapié Ana, Sofia; Jerbi, Karim; Leahy Richard, M; Pascarella, Annalisa; Sorrentino, Alberto; Sommariva, Sara
Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography
2022 Alamian, Golnoush; Lajnef, Tarek; Pascarella, Annalisa; Lina Jean, Marc; Knight, Laura; Walters, James; Singh Krish, D; Jerbi, Karim
Automated Detection of Cognitive Performance and Resilience Changes in Former Professional American Football Players following the Administration of a Hemp Extract
2022 Amico, F.; Pascarella, A.; Danev, S.; Ruan, C. -H.
Functional Source Separation-Identified Epileptic Network: Analysis Pipeline
2022 Olejarczyk, Elzbieta; Zappasodi, Filippo; Ricci, Lorenzo; Pascarella, Annalisa; Pellegrino, Giovanni; Paulon, Luca; Assenza, Giovanni; Tecchio, FRANCA MATILDE
Normalized compression distance to measure cortico-muscular synchronization
2022 Pascarella, Annalisa; Gianni, Eugenia; Abbondanza, Matteo; Armonaite, Karolina; Pitolli, Francesca; Bertoli, Massimo; L'Abbate, Teresa; Grifoni, Joy; Vitulano, Domenico; Bruni, Vittoria; Conti, Livio; Paulon, Luca; Tecchio, Franca
Parameter estimation tools for cardiovascular flow modeling of fetal circulation
2022 Bretti, G; Natalini, R; Pascarella, A; Pennati, G; Peri, D; Pontrelli, G
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| EEGManyPipelines: A Large-scale, Grassroots Multi-analyst Study of Electroencephalography Analysis Practices in the Wild | 1-gen-2024 | Trübutschek, Darinka; Yang, Yu-Fang; Gianelli, Claudia; Cesnaite, Elena; Fischer, Nastassja L.; Vinding, Mikkel C.; Marshall, Tom R.; Algermissen, Johannes; Pascarella, Annalisa; Puoliväli, Tuomas; Vitale, Andrea; Busch, Niko A.; Nilsonne, Gustav | |
| Functional balance at rest of hemispheric homologs assessed via normalized compression distance | 1-gen-2024 | Pascarella, A.; Bruni, V.; Armonaite, K.; Porcaro, C.; Conti, L.; Cecconi, F.; Paulon, L.; Vitulano, D.; Tecchio, F. | |
| Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data | 1-gen-2024 | Leone, F.; Caporali, A.; Pascarella, A.; Perciballi, C.; Maddaluno, O.; Basti, A.; Belardinelli, P.; Marzetti, L.; Di Lorenzo, G.; Betti, V. | |
| Mindfulness meditation styles differently modulate source-level MEG microstate dynamics and complexity | 1-gen-2024 | D'Andrea, A.; Croce, P.; O'Byrne, J.; Jerbi, K.; Pascarella, A.; Raffone, A.; Pizzella, V.; Marzetti, L. | |
| On propagation in networks, promising models beyond network diffusion to describe degenerative brain diseases and traumatic brain injuries | 1-gen-2024 | Vergni, D.; Stolfi, P.; Pascarella, A. | |
| The SESAMEEG package: a probabilistic tool for source localization and uncertainty quantification in M/EEG | 1-gen-2024 | Luria, G.; Viani, A.; Pascarella, A.; Bornfleth, H.; Sommariva, S.; Sorrentino, A. | |
| A resting state EEG study on depressed persons with suicidal ideation | 1-gen-2023 | Amico, Francesco; DE CANDITIIS, Daniela; Castiglione, Filippo; Pascarella, Annalisa; Venerelli, Noemi; Fagan, V; Yek, H; Brophy, Justin | |
| An in-vivo validation of ESI methods with focal sources | 1-gen-2023 | Pascarella, Annalisa; Mikulan, Ezequiel; Sciacchitano, Federica; Sarasso, Simone; Rubino, Annalisa; Sartori, Ivana; Cardinale, Francesco; Zauli, Flavia; Avanzini, Pietro; Nobili, Lino; Pigorini, Andrea; Sorrentino, Alberto | |
| Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data | 1-gen-2023 | Thölke, Philipp; MantillaRamos Yorguin, Jose; Abdelhedi, Hamza; Maschke, Charlotte; Dehgan, Arthur; Harel, Yann; Kemtur, Anirudha; Mekki Berrada, Loubna; Sahraoui, Myriam; Young, Tammy; Bellemare Pépin, Antoine; El Khantour, Clara; Landry, Mathieu; Pascarella, Annalisa; Hadid, Vanessa; Combrisson, Etienne; O'Byrne, Jordan; Jerbi, Karim | |
| Solution of the EEG inverse problem by random dipole sampling | 1-gen-2023 | Della Cioppa, L; Tartaglione, M; Pascarella, A; Pitolli, F | |
| special Issue: Methods and Applications for Anomaly Detection | 1-gen-2023 | De Canditiis Daniela; Pascarella Annalisa | |
| The IAS-MEEG Package: A Flexible Inverse Source Reconstruction Platform for Reconstruction and Visualization of Brain Activity from M/EEG Data | 1-gen-2023 | Calvetti, D.; Pascarella, A.; Pitolli, F.; Somersalo, E.; Vantaggi, B. | |
| The IAS-MEEG Package: A Flexible Inverse Source Reconstruction Platform for Reconstruction and Visualization of Brain Activity from M/EEG Data | 1-gen-2023 | Calvetti, Daniela; Pascarella, Annalisa; Pitolli, Francesca; Somersalo, Erkki; Vantaggi, Barbara | |
| The impact of ROI extraction method for MEG connectivity estimation: Practical recommendations for the study of resting state data. | 1-gen-2023 | Brkic, Diandra; Sommariva, Sara; Schuler Anna, Lisa; Pascarella, Annalisa; Belardinelli, Paolo; Isabella Silvia, L; Pino Giovanni, Di; Zago, Sara; Ferrazzi, Giulio; Rasero, Javier; Arcara, Giorgio; Marinazzo, Daniele; Pellegrino, Giovanni | |
| Tuning Minimum-Norm regularization parameters for optimal MEG connectivity estimation | 1-gen-2023 | Vallarino, Elisabetta; Hincapié Ana, Sofia; Jerbi, Karim; Leahy Richard, M; Pascarella, Annalisa; Sorrentino, Alberto; Sommariva, Sara | |
| Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography | 1-gen-2022 | Alamian, Golnoush; Lajnef, Tarek; Pascarella, Annalisa; Lina Jean, Marc; Knight, Laura; Walters, James; Singh Krish, D; Jerbi, Karim | |
| Automated Detection of Cognitive Performance and Resilience Changes in Former Professional American Football Players following the Administration of a Hemp Extract | 1-gen-2022 | Amico, F.; Pascarella, A.; Danev, S.; Ruan, C. -H. | |
| Functional Source Separation-Identified Epileptic Network: Analysis Pipeline | 1-gen-2022 | Olejarczyk, Elzbieta; Zappasodi, Filippo; Ricci, Lorenzo; Pascarella, Annalisa; Pellegrino, Giovanni; Paulon, Luca; Assenza, Giovanni; Tecchio, FRANCA MATILDE | |
| Normalized compression distance to measure cortico-muscular synchronization | 1-gen-2022 | Pascarella, Annalisa; Gianni, Eugenia; Abbondanza, Matteo; Armonaite, Karolina; Pitolli, Francesca; Bertoli, Massimo; L'Abbate, Teresa; Grifoni, Joy; Vitulano, Domenico; Bruni, Vittoria; Conti, Livio; Paulon, Luca; Tecchio, Franca | |
| Parameter estimation tools for cardiovascular flow modeling of fetal circulation | 1-gen-2022 | Bretti, G; Natalini, R; Pascarella, A; Pennati, G; Peri, D; Pontrelli, G |