Different neural underpinnings for self and prosocial decision-making under cognitive load

The data acquisition was conducted using a Siemens Prisma 3.0 T MRI machine. Functional volumes were obtained through multiple slice T2-weighted echo planar imaging (EPI) sequences, utilizing the following parameters: repetition time of 1500 ms, echo time of 30 ms, flip angle of 75°, field of view measuring 192 × 192 mm2, 72 slices covering the entire brain, slice thickness of 2 mm, and voxel size of 2 × 2 × 2 mm3. Preprocessing of fMRI data was performed using SPM12 (Wellcome Department of Imaging Neurosciences, University College London, U.K.) in the MATLAB 2020b (The MathWorks Inc). The images underwent slice timing correction, motion correction, coregistration and normalization to Montreal Neurological Institute (MNI) space with a spatial resolution of 2 × 2 × 2 mm3, and smoothing with an isotropic Gaussian kernel of 6 mm. Moreover, the fMRI data was high-pass filtered at a cutoff of 128 Hz.