inv_dics.h File Reference

Dynamic Imaging of Coherent Sources (DICS) beamformer — frequency-domain source-power and source-time-course estimation. More...

#include "../inv_global.h"
#include "../inv_source_estimate.h"
#include "inv_beamformer.h"
#include "inv_beamformer_settings.h"
#include <Eigen/Core>
#include <fiff/fiff_cov.h>
#include <QList>
#include <vector>

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Classes
class	INVLIB::InvDICS
	DICS beamformer (frequency-domain). More...

Namespaces
namespace	MNELIB
	Core MNE data structures (source spaces, source estimates, hemispheres).
namespace	FIFFLIB
	FIFF file I/O, in-memory data structures and high-level readers/writers.
namespace	INVLIB
	Inverse source estimation (MNE, dSPM, sLORETA, dipole fitting).

Detailed Description

Dynamic Imaging of Coherent Sources (DICS) beamformer — frequency-domain source-power and source-time-course estimation.

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

2.1.0

Date

March 2026

INVLIB::InvDICS implements the DICS beamformer of Gross et al., PNAS 98(2), 694-699 (2001). Where LCMV operates on a time-domain data covariance, DICS designs one spatial filter per frequency bin from the corresponding cross-spectral density (CSD) matrix, yielding narrow-band source-power maps and source time-courses suitable for oscillatory and induced-response analyses. The class exposes makeDICS (per-frequency filter design from a CSD stack), applyDICSCsd (source-power map per frequency) and the time-domain application helpers. All conventions — including the realFilter / complex-CSD handling and the unit-noise-gain normalisation — match mne-python's mne.beamformer.make_dics.

Definition in file inv_dics.h.