mne.channels.make_standard_montage#
- mne.channels.make_standard_montage(kind, head_size='auto')[source]#
Read a generic (built-in) montage.
- Parameters
- kind
str
The name of the montage to use. See notes for valid kinds.
- head_size
float
|None
|str
The head size (radius, in meters) to use for spherical montages. Can be None to not scale the read sizes.
'auto'
(default) will use 95mm for all montages except the'standard*'
,'mgh*'
, and'artinis*'
, which are already in fsaverage’s MRI coordinates (same as MNI).
- kind
- Returns
- montageinstance of
DigMontage
The montage.
- montageinstance of
Notes
Individualized (digitized) electrode positions should be read in using
read_dig_captrak()
,read_dig_dat()
,read_dig_egi()
,read_dig_fif()
,read_dig_polhemus_isotrak()
,read_dig_hpts()
or made withmake_dig_montage()
.Valid
kind
arguments are:Kind
Description
standard_1005
Electrodes are named and positioned according to the international 10-05 system (343+3 locations)
standard_1020
Electrodes are named and positioned according to the international 10-20 system (94+3 locations)
standard_alphabetic
Electrodes are named with LETTER-NUMBER combinations (A1, B2, F4, …) (65+3 locations)
standard_postfixed
Electrodes are named according to the international 10-20 system using postfixes for intermediate positions (100+3 locations)
standard_prefixed
Electrodes are named according to the international 10-20 system using prefixes for intermediate positions (74+3 locations)
standard_primed
Electrodes are named according to the international 10-20 system using prime marks (’ and ‘’) for intermediate positions (100+3 locations)
biosemi16
BioSemi cap with 16 electrodes (16+3 locations)
biosemi32
BioSemi cap with 32 electrodes (32+3 locations)
biosemi64
BioSemi cap with 64 electrodes (64+3 locations)
biosemi128
BioSemi cap with 128 electrodes (128+3 locations)
biosemi160
BioSemi cap with 160 electrodes (160+3 locations)
biosemi256
BioSemi cap with 256 electrodes (256+3 locations)
easycap-M1
EasyCap with 10-05 electrode names (74 locations)
easycap-M10
EasyCap with numbered electrodes (61 locations)
EGI_256
Geodesic Sensor Net (256 locations)
GSN-HydroCel-32
HydroCel Geodesic Sensor Net and Cz (33+3 locations)
GSN-HydroCel-64_1.0
HydroCel Geodesic Sensor Net (64+3 locations)
GSN-HydroCel-65_1.0
HydroCel Geodesic Sensor Net and Cz (65+3 locations)
GSN-HydroCel-128
HydroCel Geodesic Sensor Net (128+3 locations)
GSN-HydroCel-129
HydroCel Geodesic Sensor Net and Cz (129+3 locations)
GSN-HydroCel-256
HydroCel Geodesic Sensor Net (256+3 locations)
GSN-HydroCel-257
HydroCel Geodesic Sensor Net and Cz (257+3 locations)
mgh60
The (older) 60-channel cap used at MGH (60+3 locations)
mgh70
The (newer) 70-channel BrainVision cap used at MGH (70+3 locations)
artinis-octamon
Artinis OctaMon fNIRS (8 sources, 2 detectors)
artinis-brite23
Artinis Brite23 fNIRS (11 sources, 7 detectors)
New in version 0.19.0.
Examples using mne.channels.make_standard_montage
#
Importing data from fNIRS devices
Frequency-tagging: Basic analysis of an SSVEP/vSSR dataset
EEG forward operator with a template MRI
How to plot topomaps the way EEGLAB does
Plotting sensor layouts of EEG systems
Motor imagery decoding from EEG data using the Common Spatial Pattern (CSP)
Receptive Field Estimation and Prediction