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Related Experiment Videos

Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI.

Jason P Lerch1, Keith Worsley, W Philip Shaw

  • 1McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC, Canada H3A 2B4.

Neuroimage
|April 21, 2006
PubMed
Summary

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Mapping Anatomical Correlations Across Cerebral Cortex (MACACC) reveals interconnected brain regions. Association cortices show strong correlations, which vary with age and IQ, particularly in frontal and parietal areas.

Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Brain Imaging Analysis

Background:

  • Understanding cortical network interactions is crucial for brain development.
  • Previous methods often analyze brain regions in isolation.
  • The need for methods to map correlated anatomical changes across the cortex.

Purpose of the Study:

  • Introduce MACACC (Mapping Anatomical Correlations Across Cerebral Cortex) to study correlated anatomical changes.
  • Investigate if cortical thickness changes are statistically correlated across regions.
  • Examine variations in MACACC patterns across different population groupings (age, IQ).

Main Methods:

  • Developed and applied MACACC methodology to a dataset of 292 typically developing children.
  • Analyzed statistical correlations in cortical thickness between different brain regions.

Related Experiment Videos

  • Utilized Brodmann Area (BA) 44 as a seed region for detailed mapping.

    • Main Results:

    • Association cortices exhibit the strongest correlation strengths in MACACC patterns.
    • MACACC patterns seeded with BA 44 closely resemble diffusion tensor imaging tractography maps.
    • Age-related changes show increased correlation strength between BA 44 and anterior superior temporal gyri in older subjects.
    • Higher IQ groups demonstrate steeper correlations between BA 44 and frontal/parietal regions, notably the anterior cingulate.

    Conclusions:

    • MACACC is a viable method for studying inter-regional cortical anatomical correlations.
    • Cortical network correlations are dynamic, changing with normal aging and cognitive abilities (IQ).
    • Findings highlight the interconnectedness of association cortices and specific developmental trajectories.