def crop_stc_no_baseline(subject, mri_subject):
args = meg.read_cmd_args(['-s', subject, '-m', mri_subject])
args.fname_format = '{subject}_02_f2-35_all_correct_combined'
args.inv_fname_format = '{subject}_02_f2-35-ico-5-meg-eeg'
args.stc_t_min = -0.1
args.stc_t_max = 0.15
args.base_line_max = None
meg.run_on_subjects(args)
def crop_stc_no_baseline(subject, mri_subject):
args = meg.read_cmd_args(['-s', subject, '-m', mri_subject])
args.fname_format = '{subject}_02_f2-35_all_correct_combined'
args.inv_fname_format = '{subject}_02_f2-35-ico-5-meg-eeg'
args.stc_t_min = -0.1
args.stc_t_max = 0.15
args.base_line_max = None
meg.run_on_subjects(args)
def read_epoches_and_calc_activity(subject, mri_subject):
args = meg.read_cmd_args(['-s', subject, '-m', mri_subject])
args.function = [
'calc_stc', 'calc_labels_avg_per_condition', 'smooth_stc',
'save_activity_map'
]
args.pick_ori = 'normal'
args.colors_map = 'jet'
meg.run_on_subjects(args)
def calc_single_trial_labels_msit(subject, mri_subject):
args = meg.read_cmd_args(['-s', subject, '-m', mri_subject])
args.task = 'MSIT'
args.atlas = 'laus250'
args.function = 'calc_stc_per_condition,calc_single_trial_labels_per_condition'
args.t_tmin = -0.5
args.t_tmax = 2
args.single_trial_stc = True
args.fwd_no_cond = False
args.files_includes_cond = True
args.constrast = 'interference'
meg.run_on_subjects(args)
def calc_single_trial_labels_msit(subject, mri_subject):
args = meg.read_cmd_args(['-s', subject, '-m', mri_subject])
args.task = 'MSIT'
args.atlas = 'laus250'
args.function = 'calc_stc,calc_single_trial_labels_per_condition'
args.t_tmin = -0.5
args.t_tmax = 2
args.single_trial_stc = True
args.fwd_no_cond = False
args.files_includes_cond = True
args.constrast = 'interference'
meg.run_on_subjects(args)
def calc_msit_evoked(subject, mri_subject):
args = meg.read_cmd_args(['-s', subject, '-m', mri_subject])
args.task = 'MSIT'
args.atlas = 'laus250'
args.function = 'calc_evoked'
args.t_tmin = -0.5
args.t_tmax = 2
args.calc_epochs_from_raw = True
args.read_events_from_file = True
args.remote_subject_meg_dir = '/autofs/space/sophia_002/users/DARPA-MEG/project_orig_msit/events'
args.events_file_name = '{subject}_msit_nTSSS_interference-eve.txt'
args.reject = False
args.pick_eeg = True
meg.run_on_subjects(args)
def read_epoches_and_calc_activity(subject, mri_subject):
args = meg.read_cmd_args(['-s', subject, '-m', mri_subject])
args.function = ['calc_stc_per_condition', 'calc_labels_avg_per_condition', 'smooth_stc', 'save_activity_map']
args.pick_ori = 'normal'
args.colors_map = 'jet'
meg.run_on_subjects(args)
def check_files_names(subject, mri_subject):
args = meg.read_cmd_args(['-s', subject, '-m', mri_subject])
args.fname_format = '{subject}_02_f2-35_all_correct_combined'
args.inv_fname_format = '{subject}_02_f2-35-ico-5-meg-eeg'
args.function = 'print_names'
meg.run_on_subjects(args)
def check_files_names(subject, mri_subject):
args = meg.read_cmd_args(['-s', subject, '-m', mri_subject])
args.fname_format = '{subject}_02_f2-35_all_correct_combined'
args.inv_fname_format = '{subject}_02_f2-35-ico-5-meg-eeg'
args.function = 'print_names'
meg.run_on_subjects(args)
