christian-oreilly

import numpy as np
import mne
import pandas as pd
from pathlib import Path
root = Path("/home/oreillyc/projects/def-emayada/eegip/washington/derivatives/lossless/")
results = {"subjects": [],
           "ages": []}
for age in ["06", "12", "18"]:
    for path in root.glob(f"sub-s*/ses-m{age}/eeg/sub-s*_ses-m{age}_*_eeg_qcr.set"):
        print(path)

christian-oreilly

import numpy as np
import mne
import pandas as pd
from pathlib import Path
root = Path("/home/oreillyc/projects/def-emayada/eegip/london/derivatives/lossless/")
results = {"subjects": [],
           "ages": []}
for age in ["06", "12"]:
    for path in root.glob(f"sub-s*/ses-m{age}/eeg/sub-s*_ses-m{age}_eeg_qcr.set"):
        print(path)

christian-oreilly

from nibabel.freesurfer.io import read_geometry, write_geometry
import numpy as np
from pathlib import Path
import nibabel as nib
import sys
from scipy import spatial
import pandas as pd
from tqdm.notebook import tqdm
from mne.bem import make_watershed_bem

christian-oreilly

from nibabel.freesurfer.io import read_geometry, write_geometry
from pathlib import Path
from copy import deepcopy
from skimage import measure

import os
import trimesh
import pymeshfix
import cc3d
import nibabel as nib

christian-oreilly

christian-oreilly

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
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