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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
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Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI

Joseph T Lizier1, Jakob Heinzle, Annette Horstmann

  • 1School of Information Technologies, The University of Sydney, NSW 2006, Sydney, Australia. jlizier@it.usyd.edu.au

Journal of Computational Neuroscience
|August 28, 2010
PubMed
Summary

We developed a new method to analyze brain connectivity using information theory. This approach reveals a tiered structure in brain networks, showing how movement planning regions direct visual and motor control areas during tasks.

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Area of Science:

  • Neuroscience
  • Information Theory
  • Systems Biology

Background:

  • Brain function relies on complex interactions between sub-regions.
  • Analyzing interregional connectivity is crucial for understanding information processing.
  • Existing methods may not fully capture directional, non-linear, or collective interactions.

Purpose of the Study:

  • To introduce a novel multivariate information-theoretic method for analyzing interregional brain connectivity.
  • To identify the directed information structure between brain regions and its modulation by behavioral conditions.
  • To demonstrate the method's ability to estimate complex information measures from limited data.

Main Methods:

  • Utilized multivariate extensions of mutual information and transfer entropy.
  • Applied asymmetric, multivariate, information-theoretical analysis.
  • Analyzed functional magnetic resonance imaging (fMRI) time series data.

Main Results:

  • Established a tiered directed information structure in brain regions during a visuo-motor tracking task.
  • Identified movement planning regions as drivers of visual and motor control regions.
  • Found that task difficulty alters coupling strength within the movement planning network and between motor cortex and cerebellum.

Conclusions:

  • The novel method effectively reveals directed information flow and network hierarchies in the brain.
  • Task difficulty dynamically modulates functional connectivity in motor control networks.
  • This approach holds promise for analyzing brain structure and function across various cognitive tasks and data types.