Neurobiology of Aging
Volume 33, Issue 1 , Pages 200.e23-200.e31 , January 2012

Age-related effects on cortical thickness patterns of the Rhesus monkey brain

  • Bang-Bon Koo

      Affiliations

    • Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
    • Center for Biomedical Imaging, Boston University School of Medicine, Boston, MA, USA
  • ,
  • Steven P. Schettler

      Affiliations

    • Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
  • ,
  • Donna E. Murray

      Affiliations

    • Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
  • ,
  • Jong-Min Lee

      Affiliations

    • Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
  • ,
  • Ronald J. Killiany

      Affiliations

    • Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
  • ,
  • Douglas L. Rosene

      Affiliations

    • Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
    • Yerkes National Primate Research Center, Emory University, Atlanta, GA, USA
  • ,
  • Dae-Shik Kim

      Affiliations

    • Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
    • Center for Biomedical Imaging, Boston University School of Medicine, Boston, MA, USA
    • Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
  • ,
  • Itamar Ronen

      Affiliations

    • Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
    • Center for Biomedical Imaging, Boston University School of Medicine, Boston, MA, USA
    • Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
    • Corresponding Author InformationCorresponding author: Tel.: +31 71 526 5479

Received 6 October 2009 ,Revised 2 July 2010 ,Accepted 11 July 2010.

  • Image Result

    Cortical surface modeling in three individual monkeys of different ages (a-c: age 6.3 years; d-f: age 15.2 years; g-i: age 24.4) viewed in axial, coronal and sagittal sections. Right hemisphere gray m

    Cortical surface modeling in three individual monkeys of different ages (a-c: age 6.3 years; d-f: age 15.2 years; g-i: age 24.4) viewed in axial, coronal and sagittal sections. Right hemisphere gray matter/csf and gray/white matter surface models are marked in red and blue lines, respectively. The rightmost column shows three-dimensional representation of the corresponding gray/csf surface model for each monkey brain overlaid with the corresponding cortical thickness map.

  • Image Result
    Average Rhesus monkey brain surface. Left: lateral view of the left hemisphere. Right: medial view of the left hemisphere. Abbreviated anatomical terms are given as labels, and the abbreviation list i

    Average Rhesus monkey brain surface. Left: lateral view of the left hemisphere. Right: medial view of the left hemisphere. Abbreviated anatomical terms are given as labels, and the abbreviation list is given in Table 2.

  • Image Result
    Mean cortical thickness maps of the group of sex-matched young (a) and old monkeys (b).

    Mean cortical thickness maps of the group of sex-matched young (a) and old monkeys (b).

  • Image Result
    Group regional mean cortical thickness analysis for the young and old age groups (left and right hemispheres are analyzed separately). The regional lobe-wise parcellation is given in panel (I), where

    Group regional mean cortical thickness analysis for the young and old age groups (left and right hemispheres are analyzed separately). The regional lobe-wise parcellation is given in panel (I), where a = prefrontal lobe, b = frontal lobe, c = parietal lobe, d = superior temporal lobe (temporal auditory cortex), e = inferior temporal lobe (temporal visual cortex), f = occipital lobe, g = temporal limbic region, h = cingulate cortex. In each bar graph: “Y”—young, “O”—old. Asterisk (*) denotes statistically significant difference at significant level p < 0.05, and doubled asterisk (**) denotes statistically significant difference at significant level p < 0.01.

  • Image Result
    Vertex-wise analysis of mean cortical thickness—group comparison between young and old monkeys. Upper panels—medial views of both hemispheres, lower panels—lateral views. Statistically significant dif

    Vertex-wise analysis of mean cortical thickness—group comparison between young and old monkeys. Upper panels—medial views of both hemispheres, lower panels—lateral views. Statistically significant differences (under random permutation based correction) are marked in color (green-blue: decrease/red-green: increase). The color bar is scaled to represent p-values between 0.01 and 0.05.

  • Image Result
    Correlation analyses between cortical thickness and age for the entire group of monkeys in this study. Medial (upper row) and lateral (lower row) views of both hemispheres. Significant age-correlation

    Correlation analyses between cortical thickness and age for the entire group of monkeys in this study. Medial (upper row) and lateral (lower row) views of both hemispheres. Significant age-correlations (under random permutation based correction) are marked in colors. The color bar is scaled to represent p-values between p < 0.05 and p < 0.01. The blue scale denotes decrease and the red scale denotes increase in cortical thickness with age.

PII: S0197-4580(10)00318-0

doi: 10.1016/j.neurobiolaging.2010.07.010

Neurobiology of Aging
Volume 33, Issue 1 , Pages 200.e23-200.e31 , January 2012