Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing

Author:

Zoltowski Alisa R1,Lyu Ilwoo2,Failla Michelle34,Mash Lisa E5,Dunham Kacie16,Feldman Jacob I78,Woynaroski Tiffany G1789,Wallace Mark T13789,Barquero Laura A10,Nguyen Tin Q111,Cutting Laurie E19101112,Kang Hakmook913,Landman Bennett A1391415,Cascio Carissa J138910

Affiliation:

1. Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA

2. Department of Computer Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea

3. Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37212, USA

4. College of Nursing, Ohio State University, Columbus, OH 43210, USA

5. San Diego Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, CA 92120, USA

6. Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN 37232, USA

7. Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA

8. Frist Center for Autism and Innovation, Vanderbilt University, Nashville, TN 37212, USA

9. Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA

10. Department of Psychology and Human Development, Vanderbilt University, Nashville, TN 37203, USA

11. Department of Special Education, Vanderbilt University, Nashville, TN 37203, USA

12. Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA

13. Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37203, USA

14. Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA

15. Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA

Abstract

Abstract It has been challenging to elucidate the differences in brain structure that underlie behavioral features of autism. Prior studies have begun to identify patterns of changes in autism across multiple structural indices, including cortical thickness, local gyrification, and sulcal depth. However, common approaches to local gyrification indexing used in prior studies have been limited by low spatial resolution relative to functional brain topography. In this study, we analyze the aforementioned structural indices, utilizing a new method of local gyrification indexing that quantifies this index adaptively in relation to specific sulci/gyri, improving interpretation with respect to functional organization. Our sample included n = 115 autistic and n = 254 neurotypical participants aged 5–54, and we investigated structural patterns by group, age, and autism-related behaviors. Differing structural patterns by group emerged in many regions, with age moderating group differences particularly in frontal and limbic regions. There were also several regions, particularly in sensory areas, in which one or more of the structural indices of interest either positively or negatively covaried with autism-related behaviors. Given the advantages of this approach, future studies may benefit from its application in hypothesis-driven examinations of specific brain regions and/or longitudinal studies to assess brain development in autism.

Funder

National Institutes of Health

National Science Foundation

Pat Summitt Honorarium for VKC Autism Research

Mind Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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