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Neuroanatomical assessment of biological maturity
Psychiatry Publications and Presentations
  • Timothy T. Brown, University of California at San Diego
  • Joshua M. Kuperman, University of California at San Diego
  • Yoonho Chung, University of California at San Diego
  • Matthew Erhart, University of California at San Diego
  • Connor McCabe, University of California at San Diego
  • Donald J. Hagler, Jr., University of California at San Diego
  • Vijay K. Venkatraman, University of California
  • Natacha Akshoomoff, University of California at San Diego
  • David G. Amaral, University of California
  • Cinnamon S. Bloss, Scripps Translational Science Institute
  • B. J. Casey, Kennedy Krieger Institute
  • Linda Chang, University of Hawaii
  • Thomas M. Ernst, University of Hawaii
  • Jean A. Frazier, University of Massachusetts Medical School
  • Jeffrey R. Gruen, Yale University School of Medicine
  • Walter E. Kaufmann, Harvard Medical School
  • Tal Kenet, Massachusetts General Hospital
  • David N. Kennedy, University of Massachusetts Medical School
  • Sarah S. Murray, Scripps Translational Science Institute
  • Elizabeth R. Sowell, University of Southern California
  • Terry L. Jernigan, University of California at San Diego
  • Anders Dale, Massachusetts General Hospital
UMMS Affiliation
Department of Psychiatry
Publication Date
Document Type
Magnetic Resonance Imaging; Neuroimaging; Brain; Neuroanatomy
Structural MRI allows unparalleled in vivo study of the anatomy of the developing human brain. For more than two decades, MRI research has revealed many new aspects of this multifaceted maturation process, significantly augmenting scientific knowledge gathered from postmortem studies. Postnatal brain development is notably protracted and involves considerable changes in cerebral cortical, subcortical, and cerebellar structures, as well as significant architectural changes in white matter fiber tracts (see [12]). Although much work has described isolated features of neuroanatomical development, it remains a critical challenge to characterize the multidimensional nature of brain anatomy, capturing different phases of development among individuals. Capitalizing on key advances in multisite, multimodal MRI, and using cross-validated nonlinear modeling, we demonstrate that developmental brain phase can be assessed with much greater precision than has been possible using other biological measures, accounting for more than 92% of the variance in age. Further, our composite metric of morphology, diffusivity, and signal intensity shows that the average difference in phase among children of the same age is only about 1 year, revealing for the first time a latent phenotype in the human brain for which maturation timing is tightly controlled.
DOI of Published Version
Curr Biol. 2012 Sep 25;22(18):1693-8. doi: 10.1016/j.cub.2012.07.002. Epub 2012 Aug 16. Link to article on publisher's site
Related Resources
Link to Article in PubMed
PubMed ID
Citation Information
Timothy T. Brown, Joshua M. Kuperman, Yoonho Chung, Matthew Erhart, et al.. "Neuroanatomical assessment of biological maturity" Vol. 22 Iss. 18 (2012) ISSN: 0960-9822 (Linking)
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