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| 1 | +######################### General properties ######################### |
| 2 | +#ref_loc_file: derivatives/pylossless/code/misc/standard_1020_ll_ref19.elc |
| 3 | +#montage_info: [0.0, -16.0, 0.0, -0.02, 0.0, -1.58, 10.7, 11.5, 11.5] |
| 4 | + |
| 5 | +################## General info about the project #################### |
| 6 | +project: |
| 7 | + readme: "# Description of the dataset" |
| 8 | + |
| 9 | + # Montage use to make file BIDS compliant. |
| 10 | + # Can be path to digitized montage OR a string of one of mne's built in |
| 11 | + # standard montages as specified by mne.channels.get_builtin_montages(). |
| 12 | + # Can be left empty if the input dataset is already in BIDS format. |
| 13 | + bids_montage: GSN-HydroCel-129 |
| 14 | + |
| 15 | + # montage used while running the lossless pipeline. |
| 16 | + # if empty, the pipeline will use the electrodes.tsv sidecar file, if created |
| 17 | + # during the BIDS conversion. |
| 18 | + # If specified, needs to be a string of one of mne's built in standard montages. |
| 19 | + analysis_montage: "" |
| 20 | + |
| 21 | + set_montage_kwargs: {} |
| 22 | + |
| 23 | + coordsys: |
| 24 | + EEGCoordinateSystem: Other |
| 25 | + EEGCoordinateUnits: metres |
| 26 | + |
| 27 | + general_info: |
| 28 | + authors: [Unspecified] |
| 29 | + institution_Name: Unspecified |
| 30 | + institution_address: Unspecified |
| 31 | + dataset_doi: [] |
| 32 | + funding: Unspecified |
| 33 | + how_to_acknowledge: tba |
| 34 | + license: "" |
| 35 | + name: Unspecified |
| 36 | + references_and_links: [] |
| 37 | + |
| 38 | + t_info: |
| 39 | + EEG_placement_scheme: EGI 129 |
| 40 | + cap_manufacturer: EGI |
| 41 | + cap_manufacturers_model_name: Hydrocel 129 Channel |
| 42 | + hardware_filters: n/a |
| 43 | + manufacturer: Electrical Geodesics |
| 44 | + manufacturers_model_name: NetAmps300 |
| 45 | + power_line_frequency: 60 |
| 46 | + software_filters: n/a |
| 47 | + software_versions: NetStation V4.5 |
| 48 | + |
| 49 | +######################## Task break detection ######################## |
| 50 | +# See arguments definition from mne.preprocessing.annotate_breaks |
| 51 | +find_breaks: |
| 52 | + |
| 53 | +############################## epoching ############################## |
| 54 | +epoching: |
| 55 | + overlap: 0 |
| 56 | + |
| 57 | + # See arguments definition from mne.Epochs |
| 58 | + epochs_args: |
| 59 | + baseline: null |
| 60 | + tmax: 1 |
| 61 | + tmin: 0 |
| 62 | + |
| 63 | +########################### EEG filtering ############################ |
| 64 | +# See arguments definition from mne.io.Raw.filter & mne.io.Raw.notch_filter |
| 65 | +filtering: |
| 66 | + filter_args: |
| 67 | + h_freq: 100 |
| 68 | + l_freq: 1 |
| 69 | + notch_filter_args: |
| 70 | + freqs: [60] |
| 71 | + |
| 72 | +############################## SLURM ################################# |
| 73 | +# Options for running the pipeline on a cluster |
| 74 | +# through SLURM |
| 75 | +slurm_options: |
| 76 | + account: def-emayada |
| 77 | + job_name: pylossless |
| 78 | + memory: 16g |
| 79 | + mpi: false |
| 80 | + num_tasks: 1 |
| 81 | + program_options: [] |
| 82 | + threads_per_task: [] |
| 83 | + time_limit: 2h |
| 84 | + |
| 85 | +########################## Nearest neighbor ########################## |
| 86 | +nearest_neighbors: |
| 87 | + n_nbr_ch: 3 |
| 88 | + n_nbr_epoch: 3 |
| 89 | + |
| 90 | +####################### Pipeline steps config ######################## |
| 91 | +bridged_channels: |
| 92 | + bridge_trim: 40 |
| 93 | + bridge_z: 6 |
| 94 | + |
| 95 | +noisy_channels: |
| 96 | + flag_crit: 0.2 |
| 97 | + outlier_method: quantile |
| 98 | + outliers_kwargs: |
| 99 | + k: 6 |
| 100 | + lower: 0.25 |
| 101 | + upper: 0.75 |
| 102 | + |
| 103 | +uncorrelated_channels: |
| 104 | + flag_crit: 0.2 |
| 105 | + outlier_method: quantile |
| 106 | + outliers_kwargs: |
| 107 | + k: 6 |
| 108 | + lower: 0.25 |
| 109 | + upper: 0.75 |
| 110 | + |
| 111 | +noisy_epochs: |
| 112 | + flag_crit: 0.2 |
| 113 | + outlier_method: quantile |
| 114 | + outliers_kwargs: |
| 115 | + k: 6 |
| 116 | + lower: 0.25 |
| 117 | + upper: 0.75 |
| 118 | + |
| 119 | +uncorrelated_epochs: |
| 120 | + flag_crit: 0.2 |
| 121 | + outlier_method: quantile |
| 122 | + outliers_kwargs: |
| 123 | + k: 6 |
| 124 | + lower: 0.25 |
| 125 | + upper: 0.75 |
| 126 | + |
| 127 | +################################ ICA ################################# |
| 128 | +ica: |
| 129 | + noisy_ic_epochs: |
| 130 | + flag_crit: 0.2 |
| 131 | + outlier_method: quantile |
| 132 | + outliers_kwargs: |
| 133 | + k: 6 |
| 134 | + lower: 0.25 |
| 135 | + upper: 0.75 |
| 136 | + |
| 137 | + # See arguments definition from mne.preprocessing.ICA |
| 138 | + ica_args: |
| 139 | + run1: |
| 140 | + method: fastica |
| 141 | + run2: |
| 142 | + method: infomax |
| 143 | + fit_params: |
| 144 | + extended: True |
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