Atypical diffusion tensor hemispheric asymmetry in autism
Open accessAbstract
Background : Biological measurements that distinguish individuals with autism from typically developing individuals and those with other developmental and neuropsychiatric disorders must demonstrate very high performance to have clinical value as potential imaging biomarkers. We hypothesized that further study of white matter microstructure (WMM) in the superior temporal gyrus (STG) and temporal stem (TS), two brain regions in the temporal lobe containing circuitry central to language, emotion, and social cognition, would identify a useful combination of classification features and further understand autism neuropathology. Methods : WMM measurements from the STG and TS were examined from 30 high‐functioning males satisfying full criteria for idiopathic autism aged 7–28 years and 30 matched controls and a replication sample of 12 males with idiopathic autism and 7 matched controls who participated in a previous case–control diffusion tensor imaging (DTI) study. Language functioning, adaptive functioning, and psychotropic medication usage were also examined. Results : In the STG, we find reversed hemispheric asymmetry of two separable measures of directional diffusion coherence, tensor skewness, and fractional anisotropy. In autism, tensor skewness is greater on the right and fractional anisotropy is decreased on the left. We also find increased diffusion parallel to white matter fibers bilaterally. In the right not left TS, we find increased omnidirectional, parallel, and perpendicular diffusion. These six multivariate measurements possess very high ability to discriminate individuals with autism from individuals without autism with 94% sensitivity, 90% specificity, and 92% accuracy in our original and replication samples. We also report a near‐significant association between the classifier and a quantitative trait index of autism and significant correlations between two classifier components and measures of language, IQ, and adaptive functioning in autism.
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Lange et al. report high sensitivity (94%), specificity (90%) and accuracy (92%) using DTI-derived metrics in a discovery cohort and a small replication sample.
“Lange et al.37 report high sensitivity (94%), specificity (90%) and accuracy (92%) using diffusion tensor imaging (DTI)-derived metrics in a discovery cohort and a small replication sample.”
From Progress and roadblocks in the search for brain-based biomarkers of autism and attention-deficit/hyperactivity disorder (2017) · cites this paper as [37]
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- Authors
- Lange, N., DuBray, M. B., Lee, J. E., Froimowitz, M. P., Froehlich, A., Adluru, N., Wright, B., Ravichandran, C., Fletcher, P. T., Bigler, E. D., Alexander, A. L., & Lainhart, J. E.
- Affiliations
- Harvard University (US)
- University of Utah (US)
- University of Wisconsin–Madison (US)
- Brigham Young University (US)
- Corresponding author
- Lange, Nicholas
- ORCID
- Venue
- Autism Research
- Publisher
- Wiley
- Published
- 2010-12
- Volume
- 3
- Issue
- 6
- Pages
- 350-358
- ISSN
- 1939-3792 (ISSN-L)
- 1939-3806
- PMC
- PMC3215255
- OpenAlex
- W2169272937
- Cited by
- 142
- References
- 52
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 5 · 2022: 5 · 2021: 5 · 2020: 4 · 2019: 2 · 2018: 5 · 2017: 6 · 2016: 15 · 2015: 15 · 2014: 17 · 2013: 20 · 2012: 19
- FWCI
- 11.44
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Autism Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Autism Speaks
- Centre d'Imagerie BioMédicale
- National Institutes of Health
- U.S. Public Health Service (60450, 080826, 15879, 084795, 35476, 62015, 34783)
- National Institute of Mental Health (P50MH060450, R01MH080826, R01MH062015, R01MH084795)
- National Institute on Drug Abuse (R21DA015879)
- National Institute on Deafness and Other Communication Disorders (T32DC008553, F31DC010143)
- National Institute of Neurological Disorders and Stroke (R01NS037483)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P01HD035476, U19HD035476)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- autism spectrum disorder, hemispheric lateralization, white matter microstructure, superior temporal gyrus, diffusion tensor imaging, fractional anisotropy, imaging biomarkers, language functioning, adaptive behavior
- MeSH terms
- Adolescent, Adult, Autistic Disorder, Brain Mapping, Child, Humans, Image Processing, Computer-Assisted, Language, Functional Laterality, Male, Nerve Fibers, Myelinated, Sensitivity and Specificity, Temporal Lobe, Reproducibility of Results, Anisotropy, Young Adult, Diffusion Tensor Imaging
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