A high-resolution probabilistic in vivo atlas of human subcortical brain nuclei

Pauli et al. 2018

Clone Canlab Repository

github.com/canlab/Neuroimaging_Pattern_Masks/tree/master/Atlases_and_parcellations/2018_CIT168_Reinf_Learn_v1.0.0

Reference

Pauli, W. M., Nili, A. N. & Tyszka, J. M. (2018) A high-resolution probabilistic in vivo atlas of human subcortical brain nuclei. Sci Data. 5:180063

This atlas was constructed using high spatial resolution diffeomorphic registration of T1- and T2- weighted structural images from 168 typical adults between 22 and 35 years old. It includes many subcortical nuclei involved in reinforcement learning, and adjacent boundary regions.