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Mapping the brain with data science

Patients with dementia and other neural diseases show physical symptoms such as stumbling and confusion, but identifying the problem isn’t as simple as taking an X-ray. A group of researchers at Purdue University are designing data-driven tools that will help clinicians better understand the progression of neurodegenerative diseases by identifying and tracking changes in the brain.
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Welcome to the CONNplexity Lab!

Brain Connectomics & Complex Networks

I am a Computational Neuroscientist who works in the emergent research area of Brain Connectomics. My current research in the CONNplexity Lab focuses on the application of Complex Systems approaches in Neuroscience and Cognitive Science, including frameworks such as graph theory, information theory or fractal theory. Projects include relating structural and functional connectivity within the human brain. My interest includes healthy and disease conditions, including neurodegenerative diseases. I also make contributions to theoretical foundations of Complex Systems.

  • Read about CONNplexity research
  • Apply to the CONNplexity lab

Interested? Please contact me - I look forward to talking with you.

Joaquín Goñi
Assistant Professor
School of Industrial Engineering & Weldon School of Biomedical Engineering
Member of the Purdue Institute for Integrative Neuroscience (PIIN)
Purdue University

315 N. Grant Street
Grissom Hall Room 368
West Lafayette, IN 47907
Tel.: 765-49-47198
Fax: 765-49-47704