mne.read_label

mne.read_label(filename, subject=None, color=None)

Read FreeSurfer Label file.

Parameters

filenamestr

Path to label file.

subjectstr | None

Name of the subject the data are defined for. It is good practice to set this attribute to avoid combining incompatible labels and SourceEstimates (e.g., ones from other subjects). Note that due to file specification limitations, the subject name isn’t saved to or loaded from files written to disk.

colorNone | matplotlib color

Default label color and alpha (e.g., (1., 0., 0., 1.) for red). Note that due to file specification limitations, the color isn’t saved to or loaded from files written to disk.

Returns

labelLabel

Instance of Label object with attributes:

• comment: comment from the first line of the label file

• vertices: vertex indices (0 based, column 1)

• pos: locations in meters (columns 2 - 4 divided by 1000)

• values: values at the vertices (column 5)

See also

read_labels_from_annot

Examples using mne.read_label

Generate simulated evoked data

Compute Power Spectral Density of inverse solution from single epochs

Compute power and phase lock in label of the source space

Compute source power spectral density (PSD) in a label

Compute coherence in source space using a MNE inverse solution

Compute full spectrum source space connectivity between labels

Compute Phase Slope Index (PSI) in source space for a visual stimulus

Compute MNE-dSPM inverse solution on single epochs

Compute sLORETA inverse solution on raw data

Extracting time course from source_estimate object

Extracting the time series of activations in a label

Time-frequency beamforming using DICS