a comparison of structural brain imaging findings in autism spectrum disorder and attention-deficit hyperactivity disorder
Abstract
ASD and ADHD are regarded as distinct disorders in the current DSM-5. However, recent research and the RDoC initiative are recognizing considerable overlap in the clinical presentation of ASD, ADHD, and other neurodevelopmental disorders. In spite of numerous neuroimaging findings in ASD and ADHD, the extent to which either of the above views are supported remains equivocal. Here we compare structural MRI and DTI literature in ASD and ADHD. Our main findings reveal both distinct and shared neural features. Distinct expressions were in total brain volume (ASD: increased volume, ADHD: decreased volume), amygdala (ASD: overgrowth, ADHD: normal), and internal capsule (ASD: unclear, ADHD: reduced FA in DTI). Considerable overlap was noted in the corpus callosum and cerebellum (lower volume in structural MRI and decreased FA in DTI), and superior longitudinal fasciculus (reduced FA in DTI). In addition, we identify brain regions which have not been studied in depth and require more research. We discuss relationships between brain features and symptomatology. We conclude by addressing limitations of current neuroimaging research and offer approaches that account for clinical heterogeneity to better distinguish brain-behavior relationships.
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Shared alterations in structural and functional neural underpinnings of executive function across ASD and ADHD have been reported.
“Shared alterations in structural (Dougherty et al., 2016) and functional (Di Martino et al., 2013) neural underpinnings of executive function across ASD and ADHD have likewise been reported.”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Dougherty et al., 2016
Disparate genetic etiologies may lead to similar behavioral profiles.
“Likewise, disparate genetic etiologies may lead to similar behavioral profiles (Dougherty et al., 2016; Pelphrey, 2017).”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Dougherty et al., 2016
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References 163 · Cited by 104
- Authors
- Dougherty, C. C., Evans, D. W., Myers, S. M., Moore, G. J., & Michael, A. M.
- Affiliations
- Autism & Developmental Medicine Institute (US)
- Bucknell University (US)
- Geisinger Medical Center (US)
- Corresponding author
- Dougherty, Chase C.
- Venue
- Neuropsychology Review
- Published
- 2015-10-19
- Volume
- 26
- Issue
- 1
- Pages
- 25-43
- ISSN
- 1040-7308 (ISSN-L)
- 1573-6660
- OpenAlex
- W1848922716
- Cited by
- 104
- References
- 163
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 9 · 2023: 9 · 2022: 11 · 2021: 10 · 2020: 16 · 2019: 18 · 2018: 9 · 2017: 5 · 2016: 6
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Neuropsychology Review (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- autism spectrum disorder, attention deficit hyperactivity disorder, structural neuroimaging, diffusion tensor imaging, brain volume, corpus callosum, cerebellum, superior longitudinal fasciculus, fractional anisotropy, internal capsule, Research Domain Criteria, brain-behavior relationship, clinical heterogeneity
- MeSH terms
- Autism Spectrum Disorder, Attention Deficit Disorder with Hyperactivity, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Diffusion Tensor Imaging
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