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

Publication Type	Preprint
Authors	Jamison K, Gu Z, Wang Q, Tozlu C, Sabuncu M, Kuceyeski A
Journal	bioRxiv
Date Published	10/08/2024
ISSN	2692-8205
Abstract	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.
DOI	10.1101/2024.04.12.589274
PubMed ID	38659856
PubMed Central ID	PMC11042193