Release the Krakencoder: A unified brain connectome translation and fusion tool
Keith Wakefield JamisoniD, Zijin GuiD, Qinxin Wang, Ceren TozluiD, Mert Rory SabuncuiD, Amy F. KuceyeskiiD
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.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 8
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Multidimensional encoding of brain connectomes
Cesar Federico Caiafa, Franco Pestilli·Scientific ReportsPeer-reviewed·Sep 11, 2017
- Mapping individual differences across brain network structure to function and behavior with connectome embedding
Gidon Levakov, Joshua Faskowitz, … Olaf Sporns·NeuroImagePeer-reviewed·Aug 11, 2021
- Joint cmICA: auto-linking of structural and functional connectivity
Lei Wu, Vince D. Calhoun·bioRxiv·Sep 12, 2022
- Stacking multiple optimal transport policies to map functional connectomes
Javid Dadashkarimi, Matthew Rosenblatt, … Dustin Scheinost·Conference on Information Sciences and SystemsPeer-reviewed·Mar 22, 2023
- Rapid cortical mapping with cross-participant encoding models
Jerry Tang, Alexander G. Huth·Imaging NeurosciencePeer-reviewed·Jan 1, 2026
- The progression of sex differences in brain networks across the lifespan
Ke Huang, Keith Wakefield Jamison, … Amy F. Kuceyeski·bioRxiv·Jan 31, 2026