diff --git a/spacetop_prep/events/bidsify_social_factorize_ENH.py b/spacetop_prep/events/bidsify_social_factorize_ENH.py index 4ec4457..1808207 100644 --- a/spacetop_prep/events/bidsify_social_factorize_ENH.py +++ b/spacetop_prep/events/bidsify_social_factorize_ENH.py @@ -268,7 +268,7 @@ def process_task(task_name, filtered_file_list, logger, metadata_df): def process_behavioral_data(cue, expect, stim, outcome, beh_df, traj_df, trigger, task_name, beh_savedir, sub_bids, ses_bids, run_bids, logger): - # Cue + # Cue ______________________________________________________________________ cue['onset'] = (beh_df['event01_cue_onset'] - trigger).round(2) cue['duration'] = (beh_df['ISI01_onset'] - beh_df['event01_cue_onset']).round(2) cue['run_type'] = task_name @@ -278,7 +278,7 @@ def process_behavioral_data(cue, expect, stim, outcome, beh_df, traj_df, trigger cue['stim_file'] = beh_df["event01_cue_filename"].apply( lambda x: f'task-social/cue/runtype-{task_name}/{"sch/" if x.startswith("h") else "scl/"}' + x ) - # Expect + # Expect ___________________________________________________________________ expect['onset'] = (beh_df['event02_expect_displayonset'] - trigger).round(2) expect['duration'] = (beh_df['event02_expect_RT']).round(2) expect['run_type'] = task_name @@ -288,8 +288,14 @@ def process_behavioral_data(cue, expect, stim, outcome, beh_df, traj_df, trigger expect['rating_value_fillna'] = beh_df['event02_expect_fillna'].round(2) expect['rating_glmslabel'] = expect['rating_value'].apply(categorize_rating) expect['rating_glmslabel_fillna'] = expect['rating_value_fillna'].apply(categorize_rating) - expect['rating_mouseonset'] = (traj_df['expect_motiononset']).round(2) - expect['rating_mousedur'] = (traj_df['expect_motiondur']).round(2) + + if traj_df is not None: + expect['rating_mouseonset'] = (traj_df['expect_motiononset']).round(2) + expect['rating_mousedur'] = (traj_df['expect_motiondur']).round(2) + else: + expect['rating_mouseonset'] = 'n/a' + expect['rating_mousedur'] = 'n/a' + expect['cue'] = beh_df['event01_cue_type'] expect['stim_file'] = beh_df["event01_cue_filename"].apply( lambda x: f'task-social/cue/runtype-{task_name}/{"sch/" if x.startswith("h") else "scl/"}' + x @@ -359,7 +365,7 @@ def process_behavioral_data(cue, expect, stim, outcome, beh_df, traj_df, trigger stim['cognitive_participant_response'] = beh_df['event03_stimulusC_responsekeyname'].map({'right':'same', 'left':'diff'}) stim['cognitive_response_accuracy'] = stim['cognitive_correct_response'] == stim['cognitive_participant_response'] - # Outcome + # Outcome __________________________________________________________________ outcome['onset'] = (beh_df['event04_actual_displayonset'] - trigger).round(2) outcome['duration'] = beh_df['event04_actual_RT'].round(2) outcome['run_type'] = task_name @@ -369,8 +375,15 @@ def process_behavioral_data(cue, expect, stim, outcome, beh_df, traj_df, trigger outcome['rating_value_fillna'] = beh_df['event04_outcome_fillna'] outcome['rating_glmslabel'] = outcome['rating_value'].apply(categorize_rating) outcome['rating_glmslabel_fillna'] = outcome['rating_value_fillna'].apply(categorize_rating) - outcome['rating_mouseonset'] = (traj_df['outcome_motiononset']).round(2) - outcome['rating_mousedur'] = (traj_df['outcome_motiondur']).round(2) + + if traj_df is not None: + outcome['rating_mouseonset'] = (traj_df['expect_motiononset']).round(2) + outcome['rating_mousedur'] = (traj_df['expect_motiondur']).round(2) + else: + outcome['rating_mouseonset'] = 'n/a' + outcome['rating_mousedur'] = 'n/a' + # outcome['rating_mouseonset'] = (traj_df['outcome_motiononset']).round(2) + # outcome['rating_mousedur'] = (traj_df['outcome_motiondur']).round(2) outcome['cue'] = beh_df['event01_cue_type'] outcome['stimulusintensity'] = beh_df['event03_stimulus_type'] @@ -412,7 +425,7 @@ def main(): logger_dict = {task: setup_logger(task, f'task-social_{task}.log') for task in task_names} code_dir = Path(__file__).resolve().parent print(code_dir) - metadata_df = pd.read_csv(join(code_dir, 'spacetop_task-social_run-metadata.csv')) + metadata_df = pd.read_csv(join(code_dir, 'spacetop_task-social_run-metadata_parameter.csv')) if args.bids_string is not None: task_name = get_task_type(args.bids_string, metadata_df) diff --git a/spacetop_prep/events/spacetop_task-social_run-metadata_parameter.csv b/spacetop_prep/events/spacetop_task-social_run-metadata_parameter.csv new file mode 100644 index 0000000..a49ed75 --- /dev/null +++ b/spacetop_prep/events/spacetop_task-social_run-metadata_parameter.csv @@ -0,0 +1,352 @@ +sub,ses,run-01,run-02,run-03,run-04,run-05,run-06, +sub-0001,ses-01,vicarious,cognitive,pain,,,, +sub-0001,ses-03,,,,,,, +sub-0001,ses-04,,,,pain,cognitive,vicarious, +sub-0002,ses-01,pain,cognitive,vicarious,cognitive,pain,vicarious, +sub-0002,ses-03,vicarious,pain,cognitive,,vicarious,cognitive, +sub-0002,ses-04,vicarious,cognitive,pain,pain,cognitive,vicarious, 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