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Imaging databases and neuroscience.

Arthur W Toga1

  • 1Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095-1769, USA. toga@loni.ucla.edu

The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry
|October 11, 2002
PubMed
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Brain atlases serve as neuroimage databases, enabling comparisons across subjects and integrating diverse data. These multimodal atlases link brain structure and function to behavior and genetics.

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Genetics

Background:

  • Brain atlases are crucial for neuroimage analysis.
  • Multisubject comparisons require standardized coordinate systems and comprehensive data descriptions.

Purpose of the Study:

  • To present multimodal, multisubject brain atlases.
  • To demonstrate the integration of diverse neuroimaging data.
  • To establish links between genotype, phenotype, and behavior.

Main Methods:

  • Utilizing warping tools, visualization, and statistical analyses.
  • Integrating various neuroimaging modalities.
  • Developing comprehensive maps of brain structure and function.

Main Results:

Related Experiment Videos

  • Demonstrated the equivalence of brain atlases to neuroimage databases.
  • Presented examples of dynamic, multimodal, multisubject atlases.
  • Established methods for linking task performance and genetic information to brain morphology.

Conclusions:

  • Multimodal brain atlases are powerful tools for understanding brain structure, function, and behavior.
  • These atlases facilitate complex interrelations between genotype, phenotype, and behavior.
  • Dynamic atlases offer advanced insights into brain variability.