Emerging behavioral and neuroimaging biomarkers for early and accurate characterization of autism spectrum disorders: a systematic review
Open Access
- 13 January 2021
- journal article
- review article
- Published by Springer Science and Business Media LLC in Translational Psychiatry
- Vol. 11 (1), 1-12
- https://doi.org/10.1038/s41398-020-01178-6
Abstract
The possibility of early treatment and a better outcome is the direct product of early identification and characterization of any pathological condition. Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairment in social communication, restricted, and repetitive patterns of behavior. In recent times, various tools and methods have been developed for the early identification and characterization of ASD features as early as 6 months of age. Thorough and exhaustive research has been done to identify biomarkers in ASD using noninvasive neuroimaging and various molecular methods. By employing advanced assessment tools such as MRI and behavioral assessment methods for accurate characterization of the ASD features and may facilitate pre-emptive interventional and targeted therapy programs. However, the application of advanced quantitative MRI methods is still confined to investigational/laboratory settings, and the clinical implication of these imaging methods in personalized medicine is still in infancy. Longitudinal research studies in neurodevelopmental disorders are the need of the hour for accurate characterization of brain-behavioral changes that could be monitored over a period of time. These findings would be more reliable and consistent with translating into the clinics. This review article aims to focus on the recent advancement of early biomarkers for the characterization of ASD features at a younger age using behavioral and quantitative MRI methods.Funding Information
- Department of Biotechnology, Ministry of Science and Technology (BT/RLF/Reentry/16/2015) (D.O. No. BT/HRD/35/02/2006)
This publication has 105 references indexed in Scilit:
- Changes in grey matter development in autism spectrum disorderBrain Structure and Function, 2012
- Longitudinal in-vivo diffusion tensor imaging for assessing brain developmental changes in BALB/cJ mice, a model of reduced sociability relevant to autismBrain Research, 2012
- Increased Rate of Amygdala Growth in Children Aged 2 to 4 Years With Autism Spectrum DisordersArchives of General Psychiatry, 2012
- Early Brain Overgrowth in Autism Associated With an Increase in Cortical Surface Area Before Age 2 YearsArchives of General Psychiatry, 2011
- Microstructural abnormalities of short-distance white matter tracts in autism spectrum disorderNeuropsychologia, 2011
- An Introduction to Diffusion Tensor Image AnalysisNeurosurgery Clinics of North America, 2011
- Overview of Functional Magnetic Resonance ImagingNeurosurgery Clinics of North America, 2011
- White Matter Compromise of Callosal and Subcortical Fiber Tracts in Children With Autism Spectrum Disorder: A Diffusion Tensor Imaging StudyJournal of the American Academy of Child & Adolescent Psychiatry, 2010
- The Basics of Brain DevelopmentNeuropsychology Review, 2010
- Deviant Functional Magnetic Resonance Imaging Patterns of Brain Activity to Speech in 2–3-Year-Old Children with Autism Spectrum DisorderBiological Psychiatry, 2008