Caio Seguin
Neuroscience · Indiana University
Publications
90
Citations
2,616
Est. group size
~1
Recurring co-author estimate
Active years
12
Publishing since 2015
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.
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
- The transdiagnostic relevance of brain networks identified through network mapping in psychiatry
Neuroscience Applied · 2026
- White Matter Hyperintensities and the Structural Connectome: A Network Perspective on Clinical Heterogeneity
SSRN Electronic Journal · 2026
- Polysynaptic signal propagation in networked neural masses
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- Functional maturation of enteric neurons derived from human induced pluripotent stem cells
Stem Cell Reports · 2026
- Cascades and convergence: Dynamic signal flow in a synapse-level brain network
PLOS complex systems. · 2026
- Evaluating oscillatory mechanisms underlying flexible neural communication in the human brain
Network Neuroscience · 2026
- Inferring intrinsic neural timescales using optimal control theory
Nature Communications · 2025
- Inferring macroscopic intrinsic neural timescales using optimal control theory
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Diverging Network Architecture of the <i>C. elegans</i> Connectome and Signaling Network
PRX Life · 2025
- A general framework for characterizing optimal communication in brain networks
eLife · 2025
- Deep generation of personalized connectomes based on individual attributes
Medical Image Analysis · 2025
- Deep generation of personalized connectomes based on individual attributes
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Author response: A General Framework for Characterizing Optimal Communication in Brain Networks
2025
- A General Framework for Characterizing Optimal Communication in Brain Networks
eLife · 2025
- Author response: A general framework for characterizing optimal communication in brain networks
2025
- 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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