ArticleNature methods2025
Krakencoder: a unified brain connectome translation and fusion tool.
Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- From topography to connectome: Towards an integrated understanding of the resting brain.bioRxiv : the preprint server for biology · 2026Article
- Connectome-based spatial statistics enabling large-scale population analyses of human connectome across cohorts.bioRxiv : the preprint server for biology · 2026Article
- The progression of sex differences in brain networks across the lifespan.bioRxiv : the preprint server for biology · 2026Article
- Beyond the brain: a computational MRI-derived neurophysiological framework for robotic conscious capacity.Neuroscience and biobehavioral reviews · 2025Review
- Deep learning and whole-brain networks for biomarker discovery: modeling the dynamics of brain fluctuations in resting-state and cognitive tasks.Scientific reports · 2025Article
- Article
- The role of structural connectivity on brain function through a Markov model of signal transmission.bioRxiv : the preprint server for biology · 2025Article
- The role of structural connectivity on brain function through a Markov model of signal transmission.PloS one · 2025Article
- Modelling low-dimensional interacting brain networks reveals organising principle in human cognition.Network neuroscience (Cambridge, Mass.) · 2025Article
- Individualized structure-function coupling reveals behavioral signatures in the adolescent brain.Imaging neuroscience (Cambridge, Mass.)Article
- Mapping the movie-watching brain with AI-derived semantics.Imaging neuroscience (Cambridge, Mass.)Article
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6 authors.
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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 and functional connectivity, and between different atlases and processing choices via a common latent representation. These mappings demonstrate exceptional accuracy and individual-level identifiability; the mapping between structural and functional connectivity has identifiability 42-54% higher than existing models. The Krakencoder combines all connectome flavors via a shared low-dimensional latent space. This fusion representation better reflects familial relatedness, preserves age- and sex-relevant information, and enhances cognition-relevant information. The Krakencoder can be applied, without retraining, to new out-of-distribution data while still preserving inter-individual differences in the connectome predictions and familial relationships in the latent representations. The Krakencoder is a notable leap forward in capturing the relationship between multimodal brain connectomes in an individualized, behaviorally and demographically relevant way.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.