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A brain image database for structure/function analysis

S I Letovsky1, S H Whitehead, C H Paik

  • 1Russel H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins Hospital, Baltimore, USA.

AJNR. American Journal of Neuroradiology
|January 5, 1999
PubMed
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A new brain image database (BRAID) statistically correlates brain function with lesions. This method confirms known lesion-deficit relationships and offers potential for discovering new ones.

Area of Science:

  • Neuroimaging
  • Neurology
  • Medical Informatics

Background:

  • Traditional lesion-deficit analysis is empirical and lacks quantification.
  • A need exists for a quantitative approach correlating brain function with anatomic lesions.

Purpose of the Study:

  • To establish the Brain Image Database (BRAID).
  • To enable statistical correlation between brain functional measures and anatomic lesions from clinical brain images.

Main Methods:

  • Utilized data from 303 participants in the MR Feasibility Study of the Cardiovascular Health Study.
  • Hand-segmented 3D lesion descriptions from MR images, normalized using Talairach coordinates.
  • Implemented a database storing lesions, functional scores, and atlases for statistical analysis (chi-squared test).

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Main Results:

  • Mapped 235 infarctlike lesions in 117 subjects into Talairach coordinates.
  • Identified strong correlations between lesion locations and neurologic deficits in anatomically relevant brain regions.
  • Confirmed known lesion-deficit correlations, e.g., visual field defects with occipital lesions.

Conclusions:

  • A database integrating spatial, functional, and structural data can establish known lesion-deficit correlations.
  • This methodology, using a standard coordinate system, provides a robust framework for structure-function analysis.
  • Potential exists for uncovering novel structure-function relationships with further development and application.