30
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Differences in White Matter Fiber Tract Development Present from 6 to 24 Months in Infants with Autism

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          OBJECTIVE

          Evidence from prospective high-risk infant studies suggests that early symptoms of autism usually emerge late in the first- or early in the second-year of life after a period of relatively typical development. This is the first neuroimaging study to prospectively examine white matter fiber tract organization during this interval in infants who develop autism spectrum disorder (ASD) by 24 months.

          METHOD

          Participants included 92 infant siblings from an ongoing imaging study of autism. All participants had diffusion tensor imaging at 6 months and behavioral assessments at 24 months, with a majority contributing additional imaging data at either or both 12 and 24 months. At 24 months, 28 infants met criteria for ASD; 64 infants did not. Microstructural properties of white-matter fiber tracts reported to be associated with ASD or related behaviors were characterized by fractional anisotropy (FA) and radial and axial diffusivity.

          RESULTS

          FA trajectories differed significantly between infants who did versus did not develop ASD for 12 of 15 fiber tracts. Development for most fiber tracts in infants with ASD was characterized by elevated FA at 6 months followed by slower developmental change overtime relative to infants without ASD. Thus, by 24 months of age, lower FA values were evident for those with ASD.

          CONCLUSION

          These results suggest that the aberrant development of white matter pathways precede the manifestation of autistic symptoms in the first year of life. Longitudinal data are critical to characterizing the dynamic age-related brain and behavior changes underlying this neurodevelopmental disorder.

          Related collections

          Author and article information

          Journal
          0370512
          457
          Am J Psychiatry
          Am J Psychiatry
          The American Journal of Psychiatry
          0002-953X
          1535-7228
          24 March 2012
          1 June 2012
          01 June 2013
          : 169
          : 6
          : 589-600
          Affiliations
          [1 ]Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC
          [2 ]Department of Psychiatry, University of North Carolina, Chapel Hill, NC
          [3 ]Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT
          [4 ]Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA
          [5 ]Department of Psychiatry, Washington University, St. Louis, MO
          [6 ]Department of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
          [7 ]Department of Radiology, University of Washington, Seattle, WA
          [8 ]Autism Speaks, New York, NY
          [9 ]Department of Speech and Hearing Sciences, University of Washington, Seattle, WA
          [10 ]Montreal Neurological Institute, McGill University, Montreal, QC
          [11 ]Center for Autism Research, Children’s Hospital of Philadelphia, and University of Pennsylvania PA
          [12 ]Department of Pediatrics, University of Alberta, Edmonton, AB
          Author notes
          Corresponding author: Jason Wolff, Ph.D., Carolina Institute for Developmental Disabilities, UNC – Chapel Hill, CB# 3366, Chapel Hill, NC 27599, jason.wolff@ 123456cidd.unc.edu
          [*]

          The IBIS Network. Clinical Sites: University of North Carolina: J. Piven (IBIS Network PI), H.C. Hazlett, C. Chappell; University of Washington: S. Dager, A. Estes, D. Shaw; Washington University: K. Botteron, R. McKinstry, J. Constantino, J. Pruett; Children’s Hospital of Philadelphia: R. Schultz, S. Paterson; University of Alberta: L. Zwaigenbaum; Data Coordinating Center: Montreal Neurological Institute: A.C. Evans, D.L. Collins, G.B. Pike, P. Kostopoulos; Samir Das; Image Processing Core: University of Utah: G. Gerig; University of North Carolina: M. Styner; Statistical Analysis Core: University of North Carolina: H. Gu; Genetics Analysis Core: University of North Carolina: P. Sullivan, F. Wright.

          Article
          PMC3377782 PMC3377782 3377782 nihpa363584
          10.1176/appi.ajp.2011.11091447
          3377782
          22362397
          8f54fc00-483c-4435-a9db-b1f514d13ea9
          History
          Funding
          Funded by: National Institute of Biomedical Imaging and Bioengineering : NIBIB
          Award ID: U54 EB005149-07 || EB
          Funded by: National Institute of Child Health & Human Development : NICHD
          Award ID: T32 HD040127-10 || HD
          Funded by: National Institute of Child Health & Human Development : NICHD
          Award ID: R01 HD055741-01 || HD
          Funded by: National Institute of Child Health & Human Development : NICHD
          Award ID: P30 HD003110-40 || HD
          Categories
          Article

          Comments

          Comment on this article