inv_mxne.h File Reference

Mixed-Norm Estimate (MxNE) sparse inverse solver — block-sparse L21 minimisation for focal source recovery. More...

#include "../inv_global.h"
#include "../inv_source_estimate.h"
#include <Eigen/Core>
#include <Eigen/Dense>
#include <QVector>

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Classes
struct	INVLIB::InvMxneResult
class	INVLIB::InvMxne
	MxNE sparse inverse solver. More...

Namespaces
namespace	INVLIB
	Inverse source estimation (MNE, dSPM, sLORETA, dipole fitting).

Detailed Description

Mixed-Norm Estimate (MxNE) sparse inverse solver — block-sparse L21 minimisation for focal source recovery.

SPDX-License-Identifier: BSD-3-Clause Copyright (c) 2026 MNE-CPP Authors

Author

Christoph Dinh chris.nosp@m.toph.nosp@m..dinh.nosp@m.@mne.nosp@m.-cpp..nosp@m.org

Since

2.2.0

Date

April 2026

INVLIB::InvMxne implements the MxNE solver of Gramfort et al., Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods, Phys. Med. Biol. 57(7), 1937-1961 (2012). It minimises \( \tfrac{1}{2}\,\|M - G X\|_F^{2} + \alpha\,\|X\|_{2,1} \) using iteratively-reweighted least squares; the L21 group penalty zeros out entire source rows that do not contribute to the residual, producing a focal solution with a small list of active vertices. Outputs the sparse InvSourceEstimate, the active-vertex list, iteration count and final residual norm in an InvMxneResult.

Definition in file inv_mxne.h.