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Anterior cingulate cortex: an MRI-based parcellation method.

Laurie M McCormick1, Steven Ziebell, Peggy Nopoulos

  • 1Department of Psychiatry, University of Iowa, Roy J. and Lucille A. Carver College of Medicine, 200 Hawkins Drive, W268 GH, Iowa City, IA 52242, USA. laurie-mccormick@uiowa.edu

Neuroimage
|July 25, 2006
PubMed
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This study introduces a reliable MRI method to segment the anterior cingulate cortex (ACC) into four key subregions. This new approach aids in understanding brain abnormalities in psychiatric disorders.

Area of Science:

  • Neuroimaging
  • Neuroanatomy
  • Psychiatric Research

Background:

  • The anterior cingulate cortex (ACC) is integral to the limbic system, influencing emotions, cognition, and executive functions.
  • Distinct ACC subregions are implicated in psychiatric disorders, but structural MRI analysis has been limited.
  • Understanding ACC subregion structure is crucial for psychiatric research.

Purpose of the Study:

  • To develop a novel MRI-based parcellation method for the ACC.
  • To enable the exploration of structural abnormalities in four functionally relevant ACC subregions: dorsal, rostral, subcallosal, and subgenual.

Main Methods:

  • A reliability study assessed gray matter volume and surface area using MRI scans and BRAINS2 software.
  • A topography-based hand-tracing method was developed to delineate ACC subregions.

Related Experiment Videos

  • The ACC was parcellated into dorsal, rostral, subcallosal, and subgenual regions.

    • Main Results:

    • The developed parcellation method demonstrated high reliability and reproducibility.
    • Intraclass R coefficients for gray matter volume ranged from 0.85 to 0.93.
    • The method successfully segmented the ACC into distinct subregions.

    Conclusions:

    • A new, reliable, and reproducible topography-based parcellation method for the ACC has been established.
    • This method facilitates the investigation of ACC subregion roles in schizophrenia, depression, and other brain disorders.