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Related Experiment Videos

Methods for measuring brain morphologic features on magnetic resonance images. Validation and normal aging.

T L Jernigan1, G A Press, J R Hesselink

  • 1San Diego Veterans Administration Medical Center, CA 92161.

Archives of Neurology
|January 1, 1990
PubMed
Summary

This study presents methods for measuring brain morphologic features using magnetic resonance imaging and provides normative data across age groups. Findings reveal age-related changes in brain volume, fluid spaces, and signal abnormalities.

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Area of Science:

  • Neuroimaging
  • Radiology
  • Human Anatomy

Background:

  • Magnetic resonance imaging (MRI) is crucial for assessing brain structure.
  • Understanding age-related morphologic changes is vital for diagnosing neurological conditions.
  • Normative data provides a baseline for identifying deviations from typical brain development and aging.

Purpose of the Study:

  • To describe methods for quantifying brain morphologic features from MRI.
  • To establish normative data for six key morphologic variables across a wide age range (8-79 years).
  • To provide age-adjusted indices for identifying morphologic abnormalities.

Main Methods:

  • Utilized magnetic resonance imaging (MRI) to measure brain morphologic features.
  • Collected data from participants aged 8 to 79 years.

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  • Developed estimated functions to relate age to average values for six morphologic variables.

    • Main Results:

    • Observed a linear decrease in cerebrum volume with age.
    • Documented linear increases in ventricular and sulcal fluid volumes.
    • Identified a curvilinear decrease in cortical volume, evident even in young adults.
    • Found highly nonlinear increases in signal hyperintensities in cortical and subcortical regions.

    Conclusions:

    • The described MRI methods enable age-adjusted assessment of brain morphologic abnormalities.
    • Normative data supports the identification of deviations in brain structure related to aging.
    • These methods are applicable to neurobehavioral studies of cognitive and affective disorders.