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Cerebral cortex: a topographic segmentation method using magnetic resonance imaging.

B Crespo-Facorro1, J Kim, N C Andreasen

  • 1Mental Health-Clinical Research Center, Department of Psychiatry, College of Medicine, University of Iowa Hospitals & Clinics, 2911 JPP, 200 Hawkins Drive, Iowa City, IA 52242-1057, USA.

Psychiatry Research
|December 15, 2000
PubMed
Summary
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This study presents a reliable method for segmenting the human cerebral cortex into 41 subregions using magnetic resonance imaging (MRI). This detailed brain mapping aids in identifying structural anomalies linked to neurological diseases.

Area of Science:

  • Neuroimaging
  • Neuroanatomy
  • Medical Imaging

Background:

  • Magnetic resonance imaging (MRI) offers advanced capabilities for in vivo analysis of the human cerebral cortex.
  • Cerebral cortex parcellation using MRI can reveal structural anomalies associated with neuropathological processes in brain disorders.

Purpose of the Study:

  • To establish detailed guidelines for segmenting the human cerebral cortex into 41 distinct subregions.
  • To develop a reliable and valid MRI-based method for individual brain parcellation.

Main Methods:

  • Manual segmentation of 41 cerebral cortex subregions based on topographic landmarks of individual sulci.
  • Simultaneous visualization of orthogonal planes, gray matter isosurface, and 3D rendered brain.
  • Reliability assessment using intraclass correlation coefficients (0.60–0.99).

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Main Results:

  • The developed method allows for reliable parcellation of the cerebral cortex.
  • High intraclass correlation coefficients indicate consistent segmentation across subregions.
  • Gyral subdivisions align with regions identified in functional imaging studies, supporting method validity.

Conclusions:

  • This MRI-based cortical parcellation method is reliable and valid for individual brain analysis.
  • The technique facilitates the detection of subtle morphometric impairments and abnormal functional activation patterns.
  • A comprehensive map of regional abnormalities offers insights into the pathophysiology of brain illnesses.