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Release the Krakencoder: A unified brain connectome translation and fusion tool.

Keith W JamisonZijin GuQinxin WangMert R SabuncuAmy F Kuceyeski
Published in: bioRxiv : the preprint server for biology (2024)
Brain connectivity can be estimated in many ways, depending on modality and processing strategy. Here we present the Krakencoder, a joint connectome mapping tool that simultaneously, bidirectionally translates between structural (SC) and functional connectivity (FC), and across different atlases and processing choices via a common latent representation. These mappings demonstrate unprecedented accuracy and individual-level identifiability; the mapping between SC and FC has identifiability 42-54% higher than existing models. The Krakencoder combines all connectome flavors via a shared low-dimensional latent space. This "fusion" representation i) better reflects familial relatedness, ii) preserves age- and sex-relevant information and iii) enhances cognition-relevant information. The Krakencoder can be applied without retraining to new, out-of-age-distribution data while still preserving inter-individual differences in the connectome predictions and familial relationships in the latent representations. The Krakencoder is a significant leap forward in capturing the relationship between multi-modal brain connectomes in an individualized, behaviorally- and demographically-relevant way.
Keyphrases
  • resting state
  • functional connectivity
  • high resolution
  • health information
  • working memory
  • electronic health record
  • blood brain barrier
  • machine learning