**Scripts and data for manuscript:** Activity in the Fronto-Parietal Multiple-demand Network is Robustly Associated with Individual Differences in Working Memory and Fluid Intelligence https://doi.org/10.1101/110270 **Folders description** **1. analysis_scripts** Scripts to create the figures in the manuscript. Before running these scripts, make sure to add the folder matlab_data to the matlab path. **2. matlab_data** Behavioral and fMRI summary data used by scripts in *analysis_scripts*. **3. brain_data** *3.1.group_activation_maps* Volumetric group average maps for the H>E and S>N contrasts. Anatomical masks are available for download from Fedorenko’s lab website (https://evlab.mit.edu/funcloc/download-parcels). *3.2.individual_activation_maps* **Activation_maps.zip**: Individual subjects’ volumetric maps for the H>E and S>N contrasts. **Activation_maps_X_Fix.zip**: Individual subjects’ volumetric maps for the task>fix contrasts (i.e., H>Fix, E>Fix, S>Fix, and S>Fix). **N.B.** After the publication of the manuscript, it came to our attention that data for 3 of the 216 subjects (591_FED_20170422d_3T2, 593_FED_20170423c_3T2, 594_FED_20170423d_3T2 had been preprocessed with a slightly different pipeline (a newer pipeline based on SPM12, cf. the older, SPM5-based, pipeline). We have previously established that the results based on preprocessing+analysis carried out in the two pipelines are extremely similar (e.g., see Fig. SI-4 in Diachek et al., 2020). We re-preprocessed these 3 subjects in the older pipeline and repeated the critical brain-behavior correlations. The changes were negligible (only in the second decimal place): MD-accuracy old_r = 0.441, new_r =0.435; MD-RT old_r =-0.286, new_r =-0.278; Lang-accuracy old_r=0.18, new_r=0.16; Lang-RT old_r=-0.08, new_r=-0.05). Further, these 3 subjects were not part of the subset used for the brain-IQ correlations, so those results were not affected. For completeness, we also uploaded the individual activation maps for these 3 subjects analyzed in the older pipeline. **4. stimuli_presentation_scripts** For the spatial working memory task, a python-based version was used (set up using a VisionEgg libary; http://visionegg.org). We make the script available; however, because the VisionEgg library is no longer supported, the script may not run for some people. As a result, we additionally provide a video recording of a sample run for illustrative purposes, and a MatLab implementation (with the same procedure+timing as the python version), which we recommend using in future studies. For the language localizer task, a few different variants were used in the current study. Any of these are available from Ev Fedorenko upon request, and some versions are already available at evlab.mit.edu.
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.