LabCompass

Caio Seguin

Neuroscience · Indiana University

Publications

90

Citations

2,616

Est. group size

~1

Recurring co-author estimate

Active years

12

Publishing since 2015

Research summary
AI-generated

Caio Seguin studies how the brain's networks are wired and how signals travel through them, using brain imaging and mathematical models of connectivity (the 'connectome,' or map of neural connections). The work spans human brain communication, connectome models in animals like worms and fruit flies, and applications to psychiatric and neurological conditions. A recurring goal is understanding how brain structure supports the flow and communication of neural signals.

Brain network connectivity (connectomics)Neural signal communication and propagationComputational and generative brain modelsNeuroimaging methods (MRI-based)Clinical and psychiatric network mapping

Publication activity has grown substantially over the last decade, rising from a few papers per year to around 17 in recent years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 13.0/year recently
2017: 2 publications172018: 3 publications182019: 5 publications192020: 6 publications202021: 7 publications212022: 8 publications222023: 15 publications232024: 17 publications17242025: 17 publications17252026: 8 publications26
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×24
  • NeuroImage×10
  • Network Neuroscience×6
  • eLife×5
  • Proceedings of the National Academy of Sciences×3

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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