def demo_fsl_feeds(output_dir):
"""Demo for FSL Feeds data.
Parameters
----------
output_dir: string
where output will be written to
"""
output_dir = os.path.join(output_dir, "fsl_feeds_mrimc_output")
fsl_feeds = fetch_fsl_feeds()
subject_id = "sub001"
subjects = [SubjectData(subject_id=subject_id,
func=fsl_feeds.func,
output_dir=os.path.join(output_dir, subject_id))]
_demo_runner(subjects, "FSL FEEDS")
def demo_fsl_feeds(output_dir):
"""Demo for FSL Feeds data.
Parameters
----------
output_dir: string
where output will be written to
"""
output_dir = os.path.join(output_dir, "fsl_feeds_mrimc_output")
fsl_feeds = fetch_fsl_feeds()
subject_id = "sub001"
subjects = [
SubjectData(subject_id=subject_id,
func=fsl_feeds.func,
output_dir=os.path.join(output_dir, subject_id))
]
_demo_runner(subjects, "FSL FEEDS")
def demo_fsl_feeds(output_dir="/tmp/fsl_feeds_mrimc_output"):
"""Demo for FSL Feeds data.
Parameters
----------
data_dir: string, optional
where the data is located on your disk, where it will be
downloaded to
output_dir: string, optional
where output will be written to
"""
fsl_feeds = fetch_fsl_feeds()
subject_id = "sub001"
subjects = [SubjectData(subject_id=subject_id,
func=fsl_feeds.func,
output_dir=os.path.join(output_dir, subject_id))]
_demo_runner(subjects, "FSL FEEDS")
def demo_fsl_feeds(output_dir="/tmp/fsl_feeds_mrimc_output"):
"""Demo for FSL Feeds data.
Parameters
----------
data_dir: string, optional
where the data is located on your disk, where it will be
downloaded to
output_dir: string, optional
where output will be written to
"""
fsl_feeds = fetch_fsl_feeds()
subject_id = "sub001"
subjects = [
SubjectData(subject_id=subject_id,
func=fsl_feeds.func,
output_dir=os.path.join(output_dir, subject_id))
]
_demo_runner(subjects, "FSL FEEDS")
'duration': duration})
frametimes = np.linspace(0, (n_scans - 1) * TR, n_scans)
maximum_epoch_duration = max(EV1_epoch_duration, EV2_epoch_duration)
hfcut = 1.5 * maximum_epoch_duration # why ?
"""construct design matrix"""
drift_model = 'Cosine'
hrf_model = 'Canonical With Derivative'
design_matrix = make_design_matrix(frame_times=frametimes,
paradigm=paradigm,
hrf_model=hrf_model,
drift_model=drift_model,
period_cut=hfcut)
"""fetch input data"""
_subject_data = fetch_fsl_feeds()
subject_data = SubjectData()
subject_data.subject_id = "sub001"
subject_data.func = _subject_data.func
subject_data.anat = _subject_data.anat
output_dir = os.path.join(_subject_data.data_dir, "pypreprocess_output")
if not os.path.exists(output_dir):
os.makedirs(output_dir)
subject_data.output_dir = os.path.join(
output_dir, subject_data.subject_id)
"""preprocess the data"""
results = do_subjects_preproc(
'duration': duration})
frametimes = np.linspace(0, (n_scans - 1) * TR, n_scans)
maximum_epoch_duration = max(EV1_epoch_duration, EV2_epoch_duration)
hfcut = 1.5 * maximum_epoch_duration # why ?
"""construct design matrix"""
drift_model = 'Cosine'
hrf_model = 'spm + derivative'
design_matrix = make_design_matrix(frame_times=frametimes,
paradigm=paradigm,
hrf_model=hrf_model,
drift_model=drift_model,
period_cut=hfcut)
"""fetch input data"""
_subject_data = fetch_fsl_feeds()
subject_data = SubjectData()
subject_data.subject_id = "sub001"
subject_data.func = _subject_data.func
subject_data.anat = _subject_data.anat
output_dir = os.path.join(_subject_data.data_dir, "pypreprocess_output")
if not os.path.exists(output_dir):
os.makedirs(output_dir)
subject_data.output_dir = os.path.join(
output_dir, subject_data.subject_id)
"""preprocess the data"""
results = do_subjects_preproc(
