pycrostates.datasets.lemon.data_path#

pycrostates.datasets.lemon.data_path(subject_id, condition)[source]#

Get path to a local copy of preprocessed EEG recording from the LEMON dataset.

Get path to a local copy of preprocessed EEG recording from the mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults[1]. If there is no local copy of the recording, this function will fetch it from the online repository and store it. The default location is ~/pycrostates_data.

Parameters:

subject_idstr: The subject id to use. For example '010276'. The list of available subjects can be found on this FTP server.
conditionstr: Can be 'EO' for eyes open condition or 'EC' for eyes closed condition.

Returns:

pathPath: Path to a local copy of the requested recording.

Notes

The lemon datasets is composed of EEGLAB files. To use the MNE reader mne.io.read_raw_eeglab(), the pymatreader optional dependency is required. Use the following installation method appropriate for your environment:

pip install pymatreader
conda install -c conda-forge pymatreader

Note that an environment created via the MNE installers includes pymatreader by default.

References

Examples using `pycrostates.datasets.lemon.data_path`#

The ModKMeans object

Subject level analysis with resampling

Group-level analysis from individual clusters

Group level analysis from individual GFP peaks

Evaluating clustering fits

Global Field Power peaks

Resampling

Spatial Filter

Microstate Segmentation

Entropy and related measures

pycrostates.datasets.lemon.data_path#

Examples using pycrostates.datasets.lemon.data_path#

Examples using `pycrostates.datasets.lemon.data_path`#