LabCompass

Maria Grazia Puxeddu

Neuroscience · Indiana University

OpenAlex ORCID
Functional Brain Connectivity StudiesNeural dynamics and brain functionMental Health Research TopicsNeurobiology and Insect Physiology ResearchEEG and Brain-Computer Interfaces

Publications

30

Citations

343

Est. group size

—

Recurring co-author estimate

Active years

14

Publishing since 2013

Research summary
AI-generated

Maria Grazia Puxeddu studies how brain activity is organized into networks, using recordings of electrical brain signals (EEG) to map connections within and between people. A major focus is 'hyperscanning'—measuring the brains of two or more people at the same time—and developing mathematical methods (such as multilayer network models and community detection algorithms) to analyze these complex connectivity patterns. This work bridges neuroscience with network science and computational analysis.

Brain connectivity and network analysisEEG signal analysisMultilayer/multi-frequency network modelingHyperscanning (multi-person brain recording)Community detection algorithms

Publication activity has grown over the last decade, rising from about one paper per year early on to a peak of seven in 2024, averaging four per year over the last five 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 4.0/year recently
2017: 1 publication17182019: 1 publication192020: 1 publication202021: 5 publications212022: 2 publications222023: 3 publications232024: 7 publications7242025: 5 publications252026: 3 publications26
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×6
  • NeuroImage×3
  • Communications Biology×2
  • arXiv (Cornell University)×2
  • IRIS Research product catalog (Sapienza University of Rome)×1

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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