# Individual activation maps The project contains fMRI data from two experiments: E1, Python code problems, and E2, ScratchJr code problems. Each experiment includes three tasks: the critical program comprehension task (crit), language localizer (langloc), and multiple demand system localizer (MDloc). ## File names Individual file naming follows the following format: Expt_subjectID_sessiondate_task_contrast_maptype.img/hdr * Expt - E1 or E2 * subjectID - a 3-digit number * sessiondate - yyyymmdd * task - crit, langloc, MDloc * contrast - task-specific; see below * maptype - either t map or contrast magnitude (con) map ### Contrasts for E1 (Python) crit - code_en - code problems, English identifiers - code_jap - code problems, Japanese identifiers - sent - sentence problems - math - math problems - str - string manipulation problems - seq - problems with sequential code - for - problems with a for loop - if - problems with an if statement - code>sent - code_en + code_jap - sent ### Contrasts for E2 (ScratchJr) crit - code_problem - code problem reading - sent problem - sentence problem reading - code_video - watching videos following code problems - sent_video - watching videos following sentence problems - code_problem>sent_problem ### Contrasts for langloc - Sent - sentence reading - Nonword - nonword reading - Sent>Nonwords ### Contrasts for MDloc - Hard - hard working memory task - Easy - easy working memory task - Hard>Easy See the paper for further details on the experimental setup. # Group analyses Although we do not recommend using traditional group-based analyses when analyzing these data (see the paper for reasons), we provide the results of a group-based analysis to facilitate comparison with other studies. The files we include are: - results: random-effects group-level contrast map - fROIs: the results map divided into spatially continguous clusters