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)