The Thalamus maxprob thr25 2mm atlas is a probabilistic parcellation of the human thalamus derived from diffusion-weighted MRI connectivity profiles in a large sample, in which thalamic voxels are classified according to their strongest anatomical connectivity to cortical regions and then thresholded at 25% probability and resampled to 2 mm isotropic resolution. It segments the thalamus into distinct nuclei or connectivity-defined subregions, providing a macro-anatomical and connectional map that approximates classical thalamic nuclear boundaries based on structural connectivity rather than histology. This atlas was constructed by modeling thalamocortical connectivity using tractography and assigning each voxel to the cortical target with the highest connection probability, then aggregating across subjects to create maximum-probability labels, and has been widely used in neuroimaging research to study thalamic structure–function organization, to define regions of interest in functional MRI and diffusion analyses, and to investigate network-level roles of thalamic subregions in cognition and disease. There is no direct link to the website.
Overview generated by GPT-4o (2026).
Click any region name to view its full visualization and description.
| ID | Acronym | Region |
|---|---|---|
| 1 | Primary motor | primary motor_bilateral |
| 2 | Sensory | sensory_bilateral |
| 3 | Occipital | occipital_bilateral |
| 4 | Pre-frontal | pre-frontal_bilateral |
| 5 | Pre-motor | pre-motor_bilateral |
| 6 | Posterior parietal | posterior parietal_bilateral |
| 7 | Temporal | temporal_bilateral |
Wali Sidiqyar*, Gaurav Rudravaram*, Elyssa M. McMaster, Trent M. Schwartz, Adam M. Saunders, Kurt G. Schilling, Bennett A. Landman "Introducing SPINS: A Shared Public Visualization Library of Neuroanatomical Structures." Medical Imaging with Deep Learning- short paper
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