Prior-guided individualized thalamic parcellation based on local diffusion characteristics.

"evaluation across multiple datasets with diverse scanning protocols revealed that our method outperformed ga-reg and individual clustering in terms of parcellation performance and histological consistency 2 2 1 in this study we utilized three publicly available datasets: the human connectome project (hcp) (van essen et al ) ( https://humanconnectome org ) multisite multiscanner and multisubject acquisitions for studying variability (masivar) (cai et al ) ( https://openneuro org/datasets/ds003416/versions/2 0 2 ) and allen brain reference atlases (abra) (ding et al ) ( https://atlas brain-map org ).; the masivar dataset is available at https://openneuro org/datasets/ds003416/versions/2 0 2 . data s1: supporting information.; data s2: supporting information.; data s3: supporting information.; data s4: supporting information.; data s5: supporting information. data availability statement the hcp s1200"

"the hips-thomas is available at https://github com/thalamicseg/hipsthomasdocker ."

"CONFLICT OF INTEREST STATEMENT The authors declare that the research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest."

"This work was partially supported by Science and Technology Innovation 2030—Brain Science and Brain‐Inspired Intelligence Project of China (Grant No. STI2030‐Major Projects 2021ZD0200203), the Natural Science Foundation of China (Grant Nos. 82072099 and 6220058), the Natural Science Foundation of Shandong Province (ZR2021MH063), and the Strategic Priority Research Program of Chinese Academy of Sciences (XDB32030200)."