Imaging the Brain in Autism

  • Manuel F. Casanova
  • Ayman S. El-Baz
  • Jasjit S. Suri

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Manuel F. Casanova, Paul H. Patterson, Eric London
    Pages 1-26
  3. Manuel F. Casanova, Jane Pickett
    Pages 27-43
  4. Estate M. Sokhadze, Joshua Baruth, Allan Tasman, Manuel F. Casanova
    Pages 61-86
  5. Manuel F. Casanova, Joshua Baruth, Ayman S. El-Baz, Guela E. Sokhadze, Marie Hensley, Estate M. Sokhadze
    Pages 87-106
  6. Brandon A. Zielinski, Molly D. Prigge, Jared A. Nielsen, Janet E. Lainhart
    Pages 135-177
  7. Brittany G. Travers, Andrew L. Alexander
    Pages 179-230
  8. Janet E. Lainhart, Jason Cooperrider, June S. Taylor
    Pages 231-288
  9. Jeffrey S. Anderson, Michael A. Ferguson, Jared A. Nielsen
    Pages 289-323
  10. Jeffrey S. Anderson
    Pages 325-347
  11. Robert Coben, Robert J. Chabot, Laurence Hirshberg
    Pages 349-370
  12. Back Matter
    Pages 381-387

About this book


Data compiled by the Center for Disease Control and Prevention indicates an alarming and continuing increase in the prevalence of autism. Despite intensive research during the last few decades, autism remains a behavioral defined syndrome wherein diagnostic criteria lack in construct validity. And, contrary to other conditions like diabetes and hypertension, there are no biomarkers for autism. However, new imaging methods are changing the way we think about autism, bringing us closer to a falsifiable definition for the condition, identifying affected individuals earlier in life, and recognizing different subtypes of autism.

The imaging modalities discussed in this book emphasize the power of new technology to uncover important clues about the condition with the hope of developing effective interventions. Imaging the Brain in Autism was created to examine autism from a unique perspective that would emphasize results from different imaging technologies. These techniques show brain abnormalities in a significant percentage of patients, abnormalities that translate into aberrant functioning and significant clinical symptomatology. It is our hope that this newfound understanding will make the field work collaborative and provide a path that minimizes technical impediments.


MRI autism autistic disorders neuropathology spectrometry

Editors and affiliations

  • Manuel F. Casanova
    • 1
  • Ayman S. El-Baz
    • 2
  • Jasjit S. Suri
    • 3
  1. 1., Department of PsychiatryUniversity of LouisvilleLouisvilleUSA
  2. 2., Department of BioengineeringUniversity of LouisvilleLouisvilleUSA
  3. 3.Global Biomedical TechnologiesRosevilleUSA

Bibliographic information

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