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Related Experiment Videos

Dynamic causal models and autopoietic systems.

Olivier David1

  • 1Inserm, U836, Grenoble Institut des Neurosciences, University Hospital, Bát. EJ Safra, BP 170, 38042 Grenoble Cedex 9, France. odavid@ujf-grenoble.fr

Biological Research
|June 26, 2008
PubMed
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Dynamic Causal Modelling (DCM) and autopoiesis theory can be combined to study self-organising brain systems. This integration allows testing biological autonomy in neural subsystems using neuroimaging data.

Area of Science:

  • Neuroscience
  • Systems Biology
  • Computational Neuroscience

Background:

  • Dynamic Causal Modelling (DCM) is a biophysical modeling framework used in neuroimaging to infer neural processes from data.
  • Autopoiesis theory describes biological systems as autonomous self-organising machines, but its empirical application in cognitive neuroscience is limited.

Purpose of the Study:

  • To explore the integration of Dynamic Causal Modelling (DCM) with autopoiesis theory for understanding self-organising systems like the brain.
  • To propose a modification to DCM to incorporate autonomous processes and test autopoiesis in neural subsystems.

Main Methods:

  • Review of conceptual frameworks: DCM and autopoiesis.
  • Modification of standard DCM formulations to include autonomous processes.

Related Experiment Videos

  • Application to interpret electroencephalographic (EEG) signals during amygdala stimulation in an epileptic patient.

    • Main Results:

    • Demonstrated the potential for combining DCM and autopoiesis to address mechanistic questions in neuroscience.
    • Illustrated how DCM's system identification can empirically test aspects of autopoietic theory.
    • Provided an example interpretation of EEG data using the integrated framework.

    Conclusions:

    • Dynamic Causal Modelling offers a relevant biophysical approach for studying brain functional organisation.
    • The integration of DCM with autopoiesis theory holds significant potential for advancing the empirical study of biological autonomy in neural systems.