Article

A hierarchical Bayesian brain parcellation framework for fusion of functional imaging datasets

2023-05-24

Abstract excerpt

One important barrier in the development of complex models of human brain organization is the lack of a large and comprehensive task-based neuro-imaging dataset. Therefore, current atlases of functional brain organization are mainly based on single and homogeneous resting-state datasets. Here, we propose a hierarchical Bayesian framework that can learn a probabilistically defined brain parcellation across numerous...

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Literature Corpus work: 272fff4b-428f-52f5-9778-713438f7cc4f
DOI: 10.1101/2023.05.24.542121

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