Neuroimaging in autism--from basic science to translational research
- PMID: 24419683
- DOI: 10.1038/nrneurol.2013.276
Neuroimaging in autism--from basic science to translational research
Abstract
Over the past decade, human neuroimaging studies have provided invaluable insights into the neural substrates that underlie autism spectrum disorder (ASD). Although observations from multiple neuroimaging approaches converge in suggesting that changes in brain structure, functioning and connectivity are associated with ASD, the neurobiology of this disorder is complex, and considerable aetiological and phenotypic heterogeneity exists among individuals on the autism spectrum. Characterization of the neurobiological alterations that underlie ASD and development of novel pharmacotherapies for ASD, therefore, requires multidisciplinary collaboration. Consequently, pressure is growing to combine neuroimaging data with information provided by other disciplines to translate research findings into clinically useful biomarkers. So far, however, neuroimaging studies in patients with ASD have mainly been conducted in isolation, and the low specificity of neuroimaging measures has hindered the development of biomarkers that could aid clinical trials and/or facilitate patient identification. Novel approaches to acquiring and analysing data on brain characteristics are currently being developed to overcome these inherent limitations, and to integrate neuroimaging into translational research. Here, we discuss promising new studies of cortical pathology in patients with ASD, and outline how the novel insights thereby obtained could inform diagnosis and treatment of ASD in the future.
Similar articles
-
Neuroimaging in autism spectrum disorder: brain structure and function across the lifespan.Lancet Neurol. 2015 Nov;14(11):1121-34. doi: 10.1016/S1474-4422(15)00050-2. Epub 2015 Apr 16. Lancet Neurol. 2015. PMID: 25891007 Review.
-
Developing new pharmacotherapies for autism.J Intern Med. 2013 Oct;274(4):308-20. doi: 10.1111/joim.12113. Epub 2013 Aug 10. J Intern Med. 2013. PMID: 23865950 Review.
-
The Future of Disentangling the Heterogeneity of Autism With Neuroimaging Studies.Biol Psychiatry. 2025 Mar 1;97(5):428-438. doi: 10.1016/j.biopsych.2024.08.008. Epub 2024 Aug 23. Biol Psychiatry. 2025. PMID: 39181387 Review.
-
Autism: cause factors, early diagnosis and therapies.Rev Neurosci. 2014;25(6):841-50. doi: 10.1515/revneuro-2014-0056. Rev Neurosci. 2014. PMID: 25222596 Review.
-
Robust disruptions in electroencephalogram cortical oscillations and large-scale functional networks in autism.BMC Neurol. 2015 Jun 27;15:97. doi: 10.1186/s12883-015-0355-8. BMC Neurol. 2015. PMID: 26111798 Free PMC article.
Cited by
-
Omics approaches to individual variation: modeling networks and the virtual patient.Dialogues Clin Neurosci. 2016 Sep;18(3):253-265. doi: 10.31887/DCNS.2016.18.3/hlehrach. Dialogues Clin Neurosci. 2016. PMID: 27757060 Free PMC article.
-
A family study of symbolic learning and synaptic plasticity in autism spectrum disorder.Front Hum Neurosci. 2022 Nov 24;16:950922. doi: 10.3389/fnhum.2022.950922. eCollection 2022. Front Hum Neurosci. 2022. PMID: 36504626 Free PMC article.
-
Deficits in mesolimbic reward pathway underlie social interaction impairments in children with autism.Brain. 2018 Sep 1;141(9):2795-2805. doi: 10.1093/brain/awy191. Brain. 2018. PMID: 30016410 Free PMC article.
-
Effect of Supplementation on Levels of Homovanillic and Vanillylmandelic Acids in Children with Autism Spectrum Disorders.Metabolites. 2022 May 9;12(5):423. doi: 10.3390/metabo12050423. Metabolites. 2022. PMID: 35629927 Free PMC article.
-
Multivariate characterization of white matter heterogeneity in autism spectrum disorder.Neuroimage Clin. 2017 Jan 6;14:54-66. doi: 10.1016/j.nicl.2017.01.002. eCollection 2017. Neuroimage Clin. 2017. PMID: 28138427 Free PMC article.
References
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous