Note
Go to the end to download the full example code.
8.3. UKB VBM GMD Extraction¶
Authors: Federico Raimondo
License: BSD 3 clause
Added README.md to /github/home/nilearn_data
Dataset created in /github/home/nilearn_data/oasis1
Downloading data from https://www.nitrc.org/frs/download.php/6364/archive_dartel.tgz ...
Downloaded 147791872 of 905208634 bytes (16.3%, 5.1s remaining)
Downloaded 320290816 of 905208634 bytes (35.4%, 3.7s remaining)
Downloaded 481312768 of 905208634 bytes (53.2%, 2.6s remaining)
Downloaded 662544384 of 905208634 bytes (73.2%, 1.5s remaining)
Downloaded 845185024 of 905208634 bytes (93.4%, 0.4s remaining) ...done. (6 seconds, 0 min)
Extracting data from /github/home/nilearn_data/oasis1/7088b0bf88f5650db26e32ec3afdd589/archive_dartel.tgz..... done.
Downloading https://templateflow.s3.amazonaws.com/tpl-MNI152Lin/tpl-MNI152Lin_res-01_T1w.nii.gz
0%| | 0.00/10.7M [00:00<?, ?B/s]
12%|█▏ | 1.27M/10.7M [00:00<00:00, 12.3MB/s]
92%|█████████▏| 9.78M/10.7M [00:00<00:00, 54.5MB/s]
100%|██████████| 10.7M/10.7M [00:00<00:00, 50.3MB/s]
import tempfile
import junifer.testing.registry # noqa: F401
from junifer.api import run
datagrabber = {
"kind": "OasisVBMTestingDataGrabber",
}
markers = [
{
"name": "Schaefer1000x7_TrimMean80",
"kind": "ParcelAggregation",
"parcellation": "Schaefer1000x7",
"method": "trim_mean",
"method_params": {"proportiontocut": 0.2},
},
{
"name": "Schaefer1000x7_Mean",
"kind": "ParcelAggregation",
"parcellation": "Schaefer1000x7",
"method": "mean",
},
{
"name": "Schaefer1000x7_Std",
"kind": "ParcelAggregation",
"parcellation": "Schaefer1000x7",
"method": "std",
},
]
storage = {
"kind": "SQLiteFeatureStorage",
}
with tempfile.TemporaryDirectory() as tmpdir:
uri = f"{tmpdir}/test.sqlite"
storage["uri"] = uri
run(
workdir="/tmp",
datagrabber=datagrabber,
markers=markers,
storage=storage,
)
Total running time of the script: (29 minutes 51.134 seconds)