inv_label_time_course.h File Reference

ROI-level aggregation of vertex-wise source estimates — the C++ peer of MNE-Python's extract_label_time_course. More...

#include "inv_global.h"
#include "inv_source_estimate.h"
#include <fs/fs_label.h>
#include <Eigen/Core>
#include <QList>
#include <QString>

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Classes
class	INVLIB::InvLabelTimeCourse
	Extract ROI-level time courses from vertex-level source estimates. More...

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

Detailed Description

ROI-level aggregation of vertex-wise source estimates — the C++ peer of MNE-Python's extract_label_time_course.

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

2.2.1

Date

May 2026

INVLIB::InvLabelTimeCourse provides the five standard aggregation modes used by mne-python — mean, mean_flip, pca_flip, max and auto — to collapse a per-vertex InvSourceEstimate into one time-course per FreeSurfer label. Sign-flip vectors are derived from the dominant orientation of the vertices in the label so that phase-locked averaging works on signed surface data without cancellation. The output matrix is (n_labels × n_times) and feeds directly into the connectivity, statistics and plotting libraries.

Definition in file inv_label_time_course.h.