ROI summary data corresponding to "Methylphenidate reorganizes cortical hierarchy through dopaminergic modulation"

The MRI dataset comprises <b>region-of-interest (ROI)-averaged resting-state fMRI data</b> collected on a 3T scanner under <b>placebo (PL)</b> and <b>60 mg oral methylphenidate (MP)</b> conditions in a within-subjects design. Functional data were processed and analyzed to compute the <b>principal gradient of functional connectivity</b>, separately for each condition.ROI definitions were based on the <b>Integrated Cortico-Subcortical-Cerebellar Atlas (iCSC438)</b>, which integrates three well-established brain atlases to provide comprehensive parcellation coverage:<b>Cortical regions</b>: 360 areas from the Human Connectome Project’s <b>multi-modal parcellation (HCP-MMP1.0)</b> of the cerebral cortex.<b>Subcortical regions</b>: 50 anatomically and functionally defined partitions of the <b>Melbourne Subcortex Atlas</b>, encompassing thalamic and basal ganglia structures.<b>Cerebellar regions</b>: 28 cerebellar ROIs derived from a <b>probabilistic atlas of the human cerebellum</b>, enabling detailed regional analysis.Gradient values were averaged within each ROI, yielding condition-specific profiles of macroscale functional connectivity organization suitable for group-level or cross-modality analyses.The PET dataset includes <b>ROI-averaged ¹¹C-raclopride binding potential (BPND)</b> values measured under <b>placebo (PL)</b> and <b>60 mg oral methylphenidate (MP)</b> conditions in the same participants. ¹¹C-raclopride is a radioligand used to index <b>dopamine D2/D3 receptor availability</b>, particularly in the striatum and other basal ganglia structures.Regional definitions were based on the <b>ASEG (Automated Subcortical Segmentation)</b> labels generated via <b>Freesurfer</b>, a widely used neuroimaging analysis software. These partitions provide anatomically-defined subcortical ROI boundaries, including the <b>caudate</b>, <b>putamen</b>, <b>nucleus accumbens</b>, <b>globus pallidus</b>, and <b>thalamus</b>.The resulting dataset enables quantitative comparison of D2/D3 receptor availability between pharmacological conditions and supports multimodal integration with MRI-derived measures of functional connectivity.<br>