Annalisa Pascarella
Orcid: 0000-0001-8795-0815
According to our database1,
Annalisa Pascarella
authored at least 14 papers
between 2001 and 2024.
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Bibliography
2024
EEGManyPipelines: A Large-scale, Grassroots Multi-analyst Study of Electroencephalography Analysis Practices in the Wild.
J. Cogn. Neurosci., February, 2024
Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data.
NeuroImage, 2024
2023
The impact of ROI extraction method for MEG connectivity estimation: Practical recommendations for the study of resting state data.
NeuroImage, December, 2023
Tuning Minimum-Norm regularization parameters for optimal MEG connectivity estimation.
NeuroImage, November, 2023
Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data.
NeuroImage, August, 2023
NeuroImage, August, 2023
2022
CoRR, 2022
2021
Neural oscillations track natural but not artificial fast speech: Novel insights from speech-brain coupling using MEG.
NeuroImage, 2021
Mining the Mind: Linear Discriminant Analysis of MEG source reconstruction time series supports dynamic changes in deep brain regions during meditation sessions.
CoRR, 2021
2020
NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines.
NeuroImage, 2020
2019
Visbrain: A Multi-Purpose GPU-Accelerated Open-Source Suite for Multimodal Brain Data Visualization.
Frontiers Neuroinformatics, 2019
2017
The impact of MEG source reconstruction method on source-space connectivity estimation: A comparison between minimum-norm solution and beamforming.
NeuroImage, 2017
2011
2001
Proceedings of the Security and Watermarking of Multimedia Contents III, 2001