tDCS 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/ds001810

How to download this dataset

Run in your terminal:

Run in your terminal

openneuro-py download \
             --dataset=ds001810 \
             --include=sub-01

Configuration

Click to expand

Python

.

bids_root = "~/mne_data/ds001810"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds001810"

task = "attentionalblink"
interactive = False
ch_types = ["eeg"]
eeg_template_montage = "biosemi64"
reject = dict(eeg=100e-6)
baseline = (None, 0)
conditions = ["61450", "61511"]
contrasts = [("61450", "61511")]
decode = True
decoding_n_splits = 3  # only for testing, use 5 otherwise

l_freq = 0.3

subjects = ["01"]
sessions = "all"

interpolate_bads_grand_average = False
n_jobs = 4

Generated output

Summary reports

sub-01_ses-anodalpost_task-attentionalblink_report.html

sub-01_ses-anodalpre_task-attentionalblink_report.html

sub-01_ses-anodaltDCS_task-attentionalblink_report.html

sub-01_ses-cathodalpost_task-attentionalblink_report.html

sub-01_ses-cathodalpre_task-attentionalblink_report.html

sub-01_ses-cathodaltDCS_task-attentionalblink_report.html

sub-average_ses-anodalpost_task-attentionalblink_report.html

sub-average_ses-anodalpre_task-attentionalblink_report.html

sub-average_ses-anodaltDCS_task-attentionalblink_report.html

sub-average_ses-cathodalpost_task-attentionalblink_report.html

sub-average_ses-cathodalpre_task-attentionalblink_report.html

sub-average_ses-cathodaltDCS_task-attentionalblink_report.html