Replication Data for: The Neural Substrate of Self- and Other-Concerned Wellbeing: an fMRI study

This dataset folder has been created for the replication of subjective well-being (SWB) fMRI study, aiming to investigate the neural substrate of wellbeing under two different perspectives: Inter- and Intra-personal. In the current version, 19 subjects preprocessed structural and functional MRI data with experimental protocols and behavior responses were uploaded. Also, the analysis methods and results are separately provided in 'GLM.tar.gz', 'ParametricModulation.tar.gz', 'PsyPhysiInteraction.tar.gz', 'MultiVoxelPatternAnalysis.tar.gz', and 'EuclideanDistance.tar.gz' File 1. subj_VolumeTimeCourse.zip, subj_VolumeTimeCourse.z01, subj_VolumeTimeCourse.z02 19 subjects volume time course (VTC) data (117 runs in total, '*.vtc'), protocols ('*.prt'), and single-run design matrix files ('*.sdm') File 2. subj_anat.tar.gz 19 subjects preprocessed 3D anatomical data in .vmr format ('*.vmr'). File 3. GLM.tar.gz For general linear model (GLM) analysis, multiple-subject design matrix data was provided (mdm_test2.mdm), the .mdm file can be modified to compute GLM with different protocol files (by replacing .prt with corresponding .vtc files lists) in text editor. The current version provides two different types of GLM models as results: one with categorical contrast (Interpersonal, Intrapersonal, Neutral; 'Hap_conds_VTC_N-117_RFX_PT_AR-2_ITHR-100.glm'), the other with happiness rating contrast (1 to 4 scale; 'value_VTC_N-117_RFX_PT_AR-2_ITHR-100.glm'). File 4. ParametricModulation.tar.gz For parametric modulation, it is required to combine parametric regressors into protocol (.prt) files, To see the parametric modulatory effect of subjective happiness, the ‘*_para.prt’ files are made with behaviour response of subjective happiness rating. The results can be found in .glm files ('PM_VTC_N-117_RFX_PT_AR-2_ITHR-100.glm'). File 5. PsyPhysiInteraction.tar.gz For psychophysiological interaction (PPI) analysis, the seed regions defined from Neurosynth (https://www.neurosynth.org/) in .voi format (dopamine_pFgA_z_FDR_0.01.vmp, dopamine.voi), multiple-subject design matrix (swb_category.mdm), and categorical GLM analysis results (swb_category.glm) were included. PPI was performed using Neuroelf(https://github.com/neuroelf/neuroelf-matlab), The results are saved in .vmp (PPI_dopamine_0.05_alphasim.vmp). File 6. MultiVoxelPatternAnalysis.tar.gz For Multi-voxel pattern analysis (MVPA) searchlight, trial estimated beta of 19 subjects was provided (‘*_PreOn-1-PostOn-8_z_t_Trials.vmp