On the two-step estimation of the cross-power spectrum for dynamical linear inverse problems

DOI10.1088/1361-6420/ab67dczbMath1467.92115arXiv1909.01266OpenAlexW2998960428MaRDI QIDQ5000584

Elisabetta Vallarino, Michele Piana, Sara Sommariva, Alberto Sorrentino

Publication date: 14 July 2021

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.01266

zbMATH Keywords

functional connectivityregularization theorym/EEGmultivariate stochastic processescross-power spectrummagneto/electro-encephalography

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Inverse problems for PDEs (35R30)

Uses Software

• UTV
• MNE

Cites Work

• Inverse modeling for MEG/EEG data
• Partial directed coherence: a new concept in neural structure determination
• Evaluation of connectivity estimates using spiking neuronal network models
• A hierarchical Krylov–Bayes iterative inverse solver for MEG with physiological preconditioning
• Measurement of Linear Dependence and Feedback Between Multiple Time Series
• A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging

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