Magnetic Resonance Imaging
Volume 28, Issue 5 , Pages 716-720, June 2010

Modeling brain tissue volumes over the lifespan: quantitative analysis of postmortem weights and in vivo MR images

  • William R. Riddle

      Affiliations

    • Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
    • Corresponding Author InformationCorresponding author. R-1311, Medical Center North, Vanderbilt University Medical Center, Nashville, TN 37232-2675, USA. Tel.: +1 615 322 2432; fax: +1 615 322 3764.
  • ,
  • Susan C. DonLevy

      Affiliations

    • Pediatric Nurse Practitioner, Nashville, TN, USA
  • ,
  • Haakil Lee

      Affiliations

    • Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
    • Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Received 10 July 2009; accepted 5 January 2010. published online 17 March 2010.

Abstract 

Normative measurements of brain gray matter and white matter tissue volumes across the lifespan have not yet been established. The purpose of this article was to use mathematical modeling and analytical functions to demonstrate the growth trajectory of gray matter and white matter from age 0 to age 90. For each gender, brain weight functions were generated by utilizing existing autopsy data from 4400 subjects. Brain gray matter, white matter and lateral ventricular volumes were measured from 39 MR volumes of normal individuals. These were converted to weight by multiplying the tissue volumes by the specific gravity of that tissue. White matter volumes were described by a saturating exponential function, and the gray matter volume function was calculated by subtracting the white matter weight function from the brain weight function. For each gender, equations were generated for white matter and gray matter volumes as a function of age over the lifespan.

Keywords: Brain weight, Gray matter, White matter

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PII: S0730-725X(10)00027-5

doi:10.1016/j.mri.2010.01.003

Magnetic Resonance Imaging
Volume 28, Issue 5 , Pages 716-720, June 2010