mne.read_vectorview_selection#

mne.read_vectorview_selection(name, fname=None, info=None, verbose=None)[source]#

Read Neuromag Vector View channel selection from a file.

Parameters
namestr | list of str

Name of the selection. If a list, the selections are combined. Supported selections are: 'Vertex', 'Left-temporal', 'Right-temporal', 'Left-parietal', 'Right-parietal', 'Left-occipital', 'Right-occipital', 'Left-frontal' and 'Right-frontal'. Selections can also be matched and combined by spcecifying common substrings. For example, name='temporal will produce a combination of 'Left-temporal' and 'Right-temporal'.

fnamestr

Filename of the selection file (if None, built-in selections are used).

infomne.Info | None

The mne.Info object with information about the sensors and methods of measurement. Used to determine which channel naming convention to use, e.g. 'MEG 0111' (with space) for old Neuromag systems and 'MEG0111' (without space) for new ones.

verbosebool | str | int | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns
sellist of str

List with channel names in the selection.

Examples using mne.read_vectorview_selection#

Non-parametric 1 sample cluster statistic on single trial power

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Non-parametric 1 sample cluster statistic on single trial power
DICS for power mapping

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Computing source timecourses with an XFit-like multi-dipole model

Computing source timecourses with an XFit-like multi-dipole model

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