SRM Resting-state EEG¶
Demonstrated features¶
| Feature | This example |
|---|---|
| MEG processing | ❌ |
| EEG processing | ✅ |
| Maxwell filter | ❌ |
| Frequency filter | ✅ |
| Artifact regression | ❌ |
| SSP | ❌ |
| ICA | ❌ |
| Evoked contrasts | ❌ |
| Time-by-time decoding | ❌ |
| Time-generalization decoding | ❌ |
| CSP decoding | ❌ |
| Time-frequency analysis | ❌ |
| BEM surface creation | ❌ |
| Template MRI | ❌ |
Dataset source¶
This dataset was acquired from https://openneuro.org/datasets/ds003775
How to download this dataset
Run in your terminal:
Run in your terminal
openneuro-py download \
--dataset=ds003775 \
--include=sub-010 \
--exclude=sub-010/ses-t1/sub-010_ses-t1_scans.tsv
Note that we have to explicitly exclude files due to a problem with OpenNeuro's storage.
Configuration¶
Click to expand
Python
.
bids_root = "~/mne_data/ds003775"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds003775"
# To get all subjects for example:
# from mne_bids import get_entity_vals
# subjects = sorted(get_entity_vals(bids_root, entity_key='subject'))
subjects = ["010"]
reader_extra_params = {"units": "uV"}
sessions = ["t1"]
run_source_estimation = False
ch_types = ["eeg"]
baseline = None
reject = None
spatial_filter = None
h_freq = 40
l_freq = None
task = "resteyesc"
task_is_rest = True
epochs_tmin = 0.0
epochs_tmax = 10.0
rest_epochs_overlap = 0.0
rest_epochs_duration = 10.0
baseline = None
parallel_backend = "loky"
dask_open_dashboard = True
log_level = "info"
n_jobs = 1