ReviewA systematic review of molecular imaging (PET and SPECT) in autism spectrum disorder: Current state and future research opportunities
Introduction
Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders with prevalence as high as 1 in 68 children (CDC, 2014). Although a number of genetic mutations appear to be associated with ASD or with an increased risk or vulnerability for ASD, to date the collection of genetic mutations account for only a small percentage of total ASD cases (Persico and Napolioni, 2013). Epigenetic and environmental factors are increasingly implicated in the disorder. To date, there are no biomarkers that can be used to diagnose subtypes of idiopathic ASD (i.e. without any known genetic or environmental cause). An ASD diagnosis is based on clinical criteria with the hallmarks of the disorder being deficits in social communication and interaction, as well as restricted and repetitive behavior (APA, 2013). As implied by the use of the term ‘spectrum’ to describe autism, different forms of ASD exist. Uncovering the pathophysiological differences among disorders on the autism spectrum could help define biological subtypes of ASD and may improve diagnostic precision and clinical management, potentially leading to the development of more effective treatments.
Although providing their own methodological strengths, animal models of ASD cannot reflect the complexity of the human disorder and may not represent atypical biology accurately. Thus, in order to better elucidate the underlying pathophysiology in ASD, it is critical to conduct non-invasive in vivo human neuroimaging studies. Nearly all neuroimaging studies in ASD share the common goal of explaining or stratifying ASD mechanisms by increasing our knowledge about structural, functional or neurochemical differences in the brains of individuals with ASD. In this review, we examine single-photon emission computed tomography (SPECT) and positron emission tomography (PET) studies that have been conducted in individuals with ASD to date. We will consider PET and SPECT together as molecular imaging (MI) although each of these modalities has distinct features.
Both PET and SPECT are nuclear imaging techniques in which a radioactive material, referred to as radiotracer, is administered (typically intravenously) into a participant. A radiotracer is often a molecule that binds specifically to a particular target protein, e.g. a receptor, thereby allowing for visualization of distribution and quantification of the protein of interest. However, in other cases the distribution of the tracer is determined by where it accumulates following biochemical modification, e.g. with radiolabelled glucose. A very small mass of the tracer is administered in order to allow specific binding to targets of interest without promoting pharmacological effects or interacting through self-competition. With PET, radiotracer concentration is measured through the detection of high energy (511 keV) anti-colinear gamma photon pairs that result from positron annihilation. SPECT, on the other hand, measures radiotracer concentration by detecting single gamma rays within a particular energy range, which depends on the isotope being used. In general, PET has about two to three times higher sensitivity than SPECT and while both methods have only moderate spatial resolution, PET has slightly higher spatial resolution than SPECT (Rahmim and Zaidi, 2008). Typically the isotopes used in SPECT studies have longer half-lives than those used in PET, which is why PET radiotracers are usually produced in an onsite cyclotron, and are thus often less accessible and more expensive.
Despite some additional differences, PET and SPECT share key strengths at their core: (1) PET and SPECT can be used to noninvasively visualize and quantify differences in density of essential proteins such as receptors, transporters and enzymes; (2) in many cases, these techniques can be used to assess neurotransmitter release and occupancy; (3) PET and SPECT can measure drug-target engagement; and (4) functional measures, such as glucose metabolism and oxygen consumption, can be evaluated (though this is mostly limited to PET).
Section snippets
Article selection
In the current review, we report all studies that we could identify based on a comprehensive literature search in PubMed. PubMed searches were conducted for PET or SPECT studies examining ASD (autism, Asperger syndrome, and pervasive developmental disorder not otherwise specified) in humans. We only reviewed original articles for which English text was available. We then checked the references of all articles for additional relevant studies. We identified 49 PET and 30 SPECT studies that have
General overview of current state
We identified and reviewed 79 studies that have used MI techniques to investigate ASD. Given the challenges associated with MI studies in ASD, such as the requirement of an intravenous line for radiotracer injection, the exposure to radiation and potential sedation in the context of surrogate consent (for children and adults with ASD unable to consent for themselves), this represents a considerable number of studies. However, compared to other neuropsychiatric/neurological disorders such as
Conclusion
Increased knowledge of the multiple factors involved in shaping the neuronal circuitry involved in socio-cognitive functioning may help increase our understanding of the pathophysiology underlying ASD. Studies with well-diagnosed individuals with ASD, relatively large sample sizes and designs aimed at reducing and correcting for motion artifacts will be key. In addition, it will be important to carefully select control groups and conduct experiments without sedation or while thoroughly
Conflicts of interest
The authors declare no conflicts of interest.
Acknowledgements
The authors acknowledge support from the Robert E. and Donna Landreth Fund for the Study of Neuroinflammation in Autism. Nicole R. Zürcher was funded by an Autism Speaks Meixner Translational Postdoctoral Fellowship (#9258). The authors would like to thank Nouchine Hadjikhani for helpful comments on an earlier version of the manuscript and Regan Butterfield for discussions regarding Fig. 1.
References (131)
- et al.
Significance of abnormalities in developmental trajectory and asymmetry of cortical serotonin synthesis in autism
Int. J. Dev. Neurosci.
(2005) Neuroimaging and neurochemistry of autism
Pediatr. Clin. North Am.
(2012)- et al.
Autism with facial port-wine stain: a new syndrome?
Pediatr. Neurol.
(2007) - et al.
GABA system dysfunction in autism and related disorders: from synapse to symptoms
Neurosci. Biobehav. Rev.
(2012) - et al.
Linkage-disequilibrium mapping of autistic disorder, with 15q11–13 markers
Am. J. Hum. Genet.
(1998) PET neuroimaging: the white elephant packs his trunk?
Neuroimage
(2014)- et al.
Brain glucose metabolism in children with the autistic syndrome: positron tomography analysis
Brain Dev.
(1987) - et al.
Technetium-99m HMPAO brain SPECT in autistic children and their families
Psychiatry Res.
(2008) - et al.
Positron emission tomography findings in children with infantile spasms and autism
J. Clin. Neurosci.
(2013) - et al.
Effects of intranasal oxytocin on the neural basis of face processing in autism spectrum disorder
Biol. Psychiatry
(2013)
Feature selection and classification of imbalanced datasets: application to PET images of children with autistic spectrum disorders
Neuroimage
Low medial prefrontal dopaminergic activity in autistic children
Lancet
The 5-HT(2A) receptor and serotonin transporter in Asperger's disorder: a PET study with [(1)(1)C]MDL 100907 and [(1)(1)C]DASB
Psychiatry Res.
Intranasal oxytocin improves emotion recognition for youth with autism spectrum disorders
Biol. Psychiatry
Single-photon emission computed tomography of the brain in autism: effect of the developmental level
Pediatr. Neurol.
The relationship between 99mTc-HMPAO brain SPECT and the scores of real life rating scale in autistic children
Brain Dev.
The autistic neuron: troubled translation?
Cell
Neurochemical correlates of autistic disorder: a review of the literature
Res. Dev. Disabil.
The brain GABA-benzodiazepine receptor alpha-5 subtype in autism spectrum disorder: a pilot [(11)C]Ro15-4513 positron emission tomography study
Neuropharmacology
Positron emission tomography quantification of serotonin transporter in suicide attempters with major depressive disorder
Biol. Psychiatry
Plasma oxytocin levels in autistic children
Biol. Psychiatry
Microglial activation and increased microglial density observed in the dorsolateral prefrontal cortex in autism
Biol. Psychiatry
Evaluation of the GABAergic nervous system in autistic brain: (123)I-iomazenil SPECT study
Brain Dev.
A reference method for correlation of anatomic and functional brain images: validation and clinical application
Semin. Nucl. Med.
Impairment of dentato-thalamo-cortical pathway in autistic men: language activation data from positron emission tomography
Neurosci. Lett.
Left occipital hypoperfusion in a case with the Asperger syndrome
Brain Dev.
Autism genetics
Behav. Brain Res.
Diagnostic and Statistical Manual of Mental Disorders
Quantitation of glutamate mGluR5 receptor with 18F-FPEB PET in humans
J. Nucl. Med.
5-HT2 receptor distribution shown by [18F]setoperone PET in high-functioning autistic adults
J. Neuropsychiatry Clin. Neurosci.
Density and distribution of hippocampal neurotransmitter receptors in autism: an autoradiographic study
J. Autism Dev. Disord.
Autism: functional brain mapping of exceptional calendar capacity
Br. J. Psychiatry
Perception of complex sounds: abnormal pattern of cortical activation in autism
Am. J. Psychiatry
Bitemporal lobe dysfonction in infantile autism: positron emission tomography study
J. Radiol.
Perception of complex sounds in autism: abnormal auditory cortical processing in children
Am. J. Psychiatry
Effect of fluoxetine on regional cerebral metabolism in autistic spectrum disorders: a pilot study
Int. J. Neuropsychopharmacol.
Brief report: attention performance in autism and regional brain metabolic rate assessed by positron emission tomography
J. Autism Dev. Disord.
Regional cerebral blood flow in childhood autism: a SPET study with SPM evaluation
Nucl. Med. Commun.
A patient with autistic disorder and a 20/22 chromosomal translocation
Dev. Med. Child Neurol.
Autism, Asperger syndrome and brain mechanisms for the attribution of mental states to animated shapes
Brain
Prevalence of autism spectrum disorder among children aged 8 years – autism and developmental disabilities monitoring network 11 sites, United States, 2010 Morbidity and mortality weekly report
Surveill. Summ.
Treating autistic spectrum disorders in children: utility of the cholinesterase inhibitor rivastigmine tartrate
J. Child Neurol.
SPECT of the brain in childhood autism: evidence for a lack of normal hemispheric asymmetry
Dev. Med. Child Neurol.
Developmental changes in brain serotonin synthesis capacity in autistic and nonautistic children
Ann. Neurol.
Altered serotonin synthesis in the dentatothalamocortical pathway in autistic boys
Ann. Neurol.
Infantile spasms: III. Prognostic implications of bitemporal hypometabolism on positron emission tomography
Ann. Neurol.
Antidepressant use during pregnancy and childhood autism spectrum disorders
Arch. Gen. Psychiatry
Treatment with levetiracetam in a patient with pervasive developmental disorders, severe intellectual disability, self-injurious behavior, and seizures: a case report
Neurocase
Social perception gaze patterns, symptom severity and resting brain function measured using arterial spin labelling MRI in children with autism: a preliminary study
J. Eye Tract Vis. Cognit. Emot.
Possible effects of tetrahydrobiopterin treatment in six children with autism – clinical and positron emission tomography data: a pilot study
Dev. Med. Child Neurol.
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