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Statistical parametric mapping and neurometrics-a 30-year dialogue.

Pedro Antonio Valdes-Sosa1,2,3, Alan C Evans4, Maria L Bringas-Vega1,2,3

  • 1The Clinical Hospital of Chengdu Brain Sciences Institute, University of Electronic Sciences and Technology of China (UESTC), 2006 Xiyuan Avenue, West Hi Tech Zone, 611731, Chengdu, China.

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Summary

Cuban neuroinformatics and statistical parametric mapping (SPM) have a 30-year history of collaboration. This partnership emphasizes generative modeling and Bayesian inference for population-level brain mapping, advancing open neuroscience.

Keywords:
generative modelingglobal brain healthneurometricsopen sciencestatistical parametric mapping

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Area of Science:

  • Neuroscience
  • Neuroinformatics
  • Computational Neuroscience

Background:

  • The Cuban neuroinformatics tradition has a 30-year history.
  • This tradition has intersected with the statistical parametric mapping (SPM) framework.
  • Early work included neurometrics development in Cuba and global initiatives like the Global Brain Consortium.

Purpose of the Study:

  • To reflect on the three-decade interaction between Cuban neuroinformatics and the SPM framework.
  • To highlight shared commitments and collaborative efforts.
  • To discuss the convergence of these fields in advancing neuroscience.

Main Methods:

  • Review of historical interactions and collaborations.
  • Highlighting shared theoretical commitments.
  • Discussion of joint theoretical work and workshops with Karl Friston's group.

Main Results:

  • A parallel and intersecting trajectory between Cuban neuroinformatics and SPM over 30 years.
  • Shared commitments to generative modeling, Bayesian inference, and population-level brain mapping.
  • Convergence of methodologies and theoretical frameworks.

Conclusions:

  • The collaboration has fostered advancements in population-level brain mapping.
  • Shared principles guide current and future research in neuroscience.
  • The convergence supports efforts toward global, open, and explicable neuroscience.