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

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