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Controversies have surrounded various claims regarding the etiology of autism spectrum disorders. In the 1950s, the "[[refrigerator mother theory]]" emerged as an explanation for autism. The hypothesis was based on the idea that autistic behaviors stem from the emotional frigidity, lack of warmth, and cold, distant, rejecting demeanor of a child's mother.<ref name="Kanner 1949">{{cite journal|last=Kanner|first=L|title=Problems of nosology and psychodynamics in early childhood autism|journal=American Journal of Orthopsychiatry|year=1949|volume=19|pages=416–426|pmid=18146742|issue=3|doi=10.1111/j.1939-0025.1949.tb05441.x}}</ref> Naturally, parents of children with an autism spectrum disorder suffered from blame, guilt, and self-doubt, especially as the theory was embraced by the medical establishment and went largely unchallenged into the mid-1960s. While the "refrigerator mother theory" has been rejected in the research literature, its effects have lingered into the 21st century. Another controversial claim suggests that watching extensive amounts of television may cause autism. This hypothesis was largely based on research suggesting that the increasing rates of autism in the 1970s and 1980s were linked to the growth of cable television at this time.<ref name="Waterhouse 2008">{{cite journal|last=Waterhouse|title=Autism overflows: Increasing prevalence and proliferating theories|journal=Neuropsychological Review|year=2008|volume=18|pages=273–286|doi=10.1007/s11065-008-9074-x|first1=Lynn|issue=4}}</ref> This conjecture has not been supported in the research literature.{{citation needed|date=September 2012}}
Controversies have surrounded various claims regarding the etiology of autism spectrum disorders. In the 1950s, the "[[refrigerator mother theory]]" emerged as an explanation for autism. The hypothesis was based on the idea that autistic behaviors stem from the emotional frigidity, lack of warmth, and cold, distant, rejecting demeanor of a child's mother.<ref name="Kanner 1949">{{cite journal|last=Kanner|first=L|title=Problems of nosology and psychodynamics in early childhood autism|journal=American Journal of Orthopsychiatry|year=1949|volume=19|pages=416–426|pmid=18146742|issue=3|doi=10.1111/j.1939-0025.1949.tb05441.x}}</ref> Naturally, parents of children with an autism spectrum disorder suffered from blame, guilt, and self-doubt, especially as the theory was embraced by the medical establishment and went largely unchallenged into the mid-1960s. While the "refrigerator mother theory" has been rejected in the research literature, its effects have lingered into the 21st century. Another controversial claim suggests that watching extensive amounts of television may cause autism. This hypothesis was largely based on research suggesting that the increasing rates of autism in the 1970s and 1980s were linked to the growth of cable television at this time.<ref name="Waterhouse 2008">{{cite journal|last=Waterhouse|title=Autism overflows: Increasing prevalence and proliferating theories|journal=Neuropsychological Review|year=2008|volume=18|pages=273–286|doi=10.1007/s11065-008-9074-x|first1=Lynn|issue=4}}</ref> This conjecture has not been supported in the research literature.{{citation needed|date=September 2012}}

== Evolutionary Considerations ==

The combination of high [[heritability]] and low reproductive success raises an evolutionary question: why have [[autism]] and its’ related disorders not been eliminated by natural selection? Theories considering this question in the context of [[evolutionary medicine]] are discussed below.
=== Extreme Male Brain ===
Autistic individuals are extremely focused on systemizing instead of empathizing ( [[Empathizing-systemizing theory]]). Men have a more systemizing brain than women. This evidence lies in the fact that males are affected by autism more than females and prenatal exposure to [[testosterone]] is positively correlated to the development of autistic traits. In ancestral times, men with well-developed systemizing skills and underdeveloped empathizing skills may have benefited. Assuming a [[hunter-gatherer ]]society, these individuals may have achieved reproductive success by creating new tools for hunting (systemizing skills), being able to remain in solitude for long periods on hunts, and eliminate rivals (low empathizing skills).<ref>{{cite journal|last=Ploeger|first=A|coauthors=Galis, F|title=Evolutionary approaches to autism- an overview and integration.|journal=McGill journal of medicine : MJM : an international forum for the advancement of medical sciences by students|date=2011 Jun|volume=13|issue=2|pages=38|pmid=22363193}}</ref>

=== Extreme Imprinted Brain ===
We inherit two copies of every allele, and, in certain cases, only one allele is functional, while the other is silenced. This may be the result of either maternal or paternal [[genomic imprinting]], in which the genes of one parent are preferentially expressed to promote a certain energy investment by the mother. Imprinted genes are highly expressed in the [[central nervous system]]. Autism reflects reduced maternal brain functions and enhanced paternal brain functions. This hypothesis is supported by the sex ratio in autism -- more males than females. Many autism genes are imprinted genes or interact with imprinted genes. This theory hypothesizes that these disorders represent the low-fitness extreme of a condition that is beneficial for the father, as children with autism impose additional demands on the mother. This is beneficial from the father’s point of view, as the mother will spend more of her time and resources on the child. <ref>{{cite journal|last=Ploeger|first=A|coauthors=Galis, F|title=Evolutionary approaches to autism- an overview and integration.|journal=McGill journal of medicine : MJM : an international forum for the advancement of medical sciences by students|date=2011 Jun|volume=13|issue=2|pages=38|pmid=22363193}}</ref>

=== Low-fitness extreme ===
A fitness indicator is a trait that takes considerable energy to develop, maintain, and display. As such, the energetic cost makes it a reliable indicator of fitness. It is likely that there are parentally selected indicators; parents are likely to invest more of their resources in offspring that have a higher fitness level. This hypothesis proposes that parental selection could have caused some aspects of the social repertoire of infants to evolve as a fitness indicator and that autism could represent its’ low-fitness, poor-quality extreme.<ref>{{cite journal|last=Ploeger|first=A|coauthors=Galis, F|title=Evolutionary approaches to autism- an overview and integration.|journal=McGill journal of medicine : MJM : an international forum for the advancement of medical sciences by students|date=2011 Jun|volume=13|issue=2|pages=38|pmid=22363193}}</ref>

=== Reptile Brain (Polyvagal theory) ===
Neural organization regulating emotions and social behavior is a recently evolved system in mammals, especially [[primate]]s. This network evolved in three different stages, explained by the [[Polyvagal Theory]]. It is proposed that people with autism minimize the characteristics developed in the third “mammalian” stage, the development of social communication. Rather, they rely on defensive traits developed in the second and third stages, i.e., mobilization and immobilization. While normally developed primates and humans have a well-developed ability to shift between mobilization and social engagement behavior, individuals with autism lack this ability. Without a social engagement system, the [[autonomic nervous system]] is consistently poised for the [[fight-or-flight response]], i.e., the frequent emotional outbursts and tantrums associated with autism. Thus, due to the inability to engage the [[vagus nerve]] to calm and dampen the defense system through social interactions, the nervous system in an autistic individual is in a constant state of hyper-vigilance. These are generally adaptive responses in reptiles, but not in humans. <ref>{{cite journal|last=Ploeger|first=A|coauthors=Galis, F|title=Evolutionary approaches to autism- an overview and integration.|journal=McGill journal of medicine : MJM : an international forum for the advancement of medical sciences by students|date=2011 Jun|volume=13|issue=2|pages=38|pmid=22363193}}</ref>

=== Epistatic Interactions ===
It is well known that autism is a [[polygene]] disorder, involving 30+ genes. Autism genes are also involved in the development of intelligence. Given evidence that intelligence has a positive correlation with reproductive success, these 30+ genes are easily spread throughout the population. In most individuals, their interactions result in normal or high intelligence, without autism. However, in some interactions, especially in combinations with negative spontaneous mutations, the interactions between these genes may lead to the development of autism. Autism persists despite its’ high heritability and low reproductive success, because most of the time, the interactions between these genes lead to an increase in fitness. <ref>{{cite journal|last=Ploeger|first=A|coauthors=Galis, F|title=Evolutionary approaches to autism- an overview and integration.|journal=McGill journal of medicine : MJM : an international forum for the advancement of medical sciences by students|date=2011 Jun|volume=13|issue=2|pages=38|pmid=22363193}}</ref>

=== Changing Life Histories ===
Recent human evolution has involved not just the evolution of enhanced general and social cognition, but also large-scale changes to our [[life history]], prominently expressed in extension of childhood, defined as the period from birth to sexual maturity. This evolutionary expansion of the childhood stage has usually been described in terms of [[neoteny]]. The extension in physical, neurological and psychological developmental processes, and their molecular bases, can be explained through an extended series of genetically-based, heterochronic changes along the human lineage, which may result in autistic individuals.<ref>{{cite journal|last=Crespi|first=Bernard|title=Developmental heterochrony and the evolution of autistic perception, cognition and behavior|journal=BMC Medicine|date=1 January 2013|volume=11|issue=1|pages=119|doi=10.1186/1741-7015-11-119}}</ref>


== See also ==
== See also ==

Revision as of 19:16, 13 October 2013

The autism spectrum or autistic spectrum describes a range of conditions classified as neurodevelopmental disorders in the fifth revision of the Diagnostic and Statistical Manual of Mental Disorders 5th edition (DSM-5). The DSM-5, published in 2013, redefined the autism spectrum to encompass the previous (DSM-IV-TR) diagnoses of autism, Asperger syndrome, pervasive developmental disorder not otherwise specified (PDD-NOS), childhood disintegrative disorder, and Rett syndrome.[1] These disorders are characterized by social deficits and communication difficulties, stereotyped or repetitive behaviors and interests, and in some cases, cognitive delays.

Classification

A revision to autism spectrum disorder was proposed in the Diagnostic and Statistical Manual of Mental Disorders version 5 (DSM-5), which has been released in May 2013.[2] The new diagnosis encompasses previous diagnoses of autistic disorder, Asperger's disorder, childhood disintegrative disorder, and PDD-NOS. Rather than categorizing these diagnoses, the DSM-5 will adopt a dimensional approach to diagnosing disorders that fall underneath the autism spectrum umbrella. It is thought that individuals with ASDs are best represented as a single diagnostic category because they demonstrate similar types of symptoms and are better differentiated by clinical specifiers (i.e., dimensions of severity) and associated features (i.e., known genetic disorders, epilepsy and intellectual disability). An additional change to the DSM includes collapsing social and communication deficits into one domain. Thus, an individual with an ASD diagnosis will be described in terms of severity of social communication symptoms, severity of fixated or restricted behaviors or interests and associated features. The restriction of onset age has also been loosened from 3 years of age to "early developmental period", with a note that symptoms may manifest later when demands exceed capabilities.

Autism forms the core of the autism spectrum disorders (ASD). Asperger syndrome is closest to autism in signs and likely causes;[3] unlike autism, people with Asperger syndrome have no significant delay in language development.[4] PDD-NOS is diagnosed when the criteria are not met for a more specific disorder. Some sources also include Rett syndrome and childhood disintegrative disorder, which share several signs with autism but may have unrelated causes; other sources differentiate them from ASD, but group all of the above conditions into the pervasive developmental disorders.[3][5]

The terminology of autism can be bewildering. Autism, Asperger syndrome, and PDD-NOS are sometimes called the autistic disorders instead of ASD,[6] whereas autism itself is often called autistic disorder, childhood autism, or infantile autism.[7] Although the older term pervasive developmental disorder and the newer term autism spectrum disorder largely or entirely overlap,[5] the former was intended to describe a specific set of diagnostic labels, whereas the latter refers to a postulated spectrum disorder linking various conditions.[8] ASD, in turn, is a subset of the broader autism phenotype (BAP), which describes individuals who may not have ASD but do have autistic-like traits, such as avoiding eye contact.[7]

Characteristics

Under DSM-IV-TR, autism was characterized by delays or abnormal functioning before the age of three years in one or more of the following domains: (1) social interaction; (2) communication; and (3) restricted, repetitive, and stereotyped patterns of behavior, interests, and activities.[9]

Asperger syndrome was distinguished from autism by the lack of delay or deviance in early language development.[9] Additionally, individuals with Asperger syndrome did not have significant cognitive delays.[10]

PDD-NOS was considered "subthreshold autism" and "atypical autism" because it was often characterized by milder symptoms of autism or symptoms in only one domain (such as social difficulties).[11]

Developmental course

Although autism spectrum disorders are thought to follow two possible developmental courses, most parents report that symptom onset occurred within the first year of life.[12][13] One course of development follows a gradual course of onset in which parents report concerns in development over the first two years of life and diagnosis is made around 3–4 years of age. Some of the early signs of ASDs in this course include decreased looking at faces, failure to turn when name is called, failure to show interests by showing or pointing, and delayed pretend play.[14] A second course of development is characterized by normal or near-normal development followed by loss of skills or regression in the first 2–3 years. Regression may occur in a variety of domains, including communication, social, cognitive, and self-help skills; however, the most common regression is loss of language.[15][16] There continues to be a debate over the differential outcomes based on these two developmental courses. Some studies suggest that regression is associated with poorer outcomes and others report no differences between those with early gradual onset and those who experience a regression period.[17] Overall, the prognosis is poor for persons with classical (Kanner-type) autism with respect to academic achievement and poor to below-average for persons across the autism spectrum with respect to independent living abilities; in each case, a lack of early intervention exacerbates the odds against success.[17] However, many individuals show improvements as they grow older. The two best predictors of favorable outcome in autism are the absence of intellectual disability and the development of some communicative speech prior to five years of age.[unreliable medical source?][18] Overall, the literature stresses the importance of early intervention in achieving positive longitudinal outcomes.[19]

Causes

While a specific cause or specific causes of autism spectrum disorders has yet to be found, many risk factors have been identified in the research literature that may contribute to the development of an ASD. These risk factors include genetics, prenatal and perinatal factors, neuroanatomical abnormalities, and environmental factors.
It is possible to identify general risk factors, but much more difficult to pinpoint specific factors. In the current state of knowledge, prediction can only be of a global nature and therefore requires the use of general markers.[20]

Genetic risk factors

The results of family and twin studies suggest that genetic factors play a role in the etiology of autism and other pervasive developmental disorders.[21] Studies have consistently found that the prevalence of autism in siblings of autistic children is approximately 15 to 30 times greater than the rate in the general population.[22] In addition, research suggests that there is a much higher concordance rate among monozygotic twins compared to dizygotic twins.[23] It appears that there is no single gene that can account for autism. Instead, there seems to be multiple genes involved, each of which is a risk factor for part of the autism syndrome through various groups.[24][25][26]

Associated Conditions

Intellectual disability

Seizures and epilepsy

Tuberous sclerosis, characterised by neurocutaneous lesions (e.g. hypopigmented macules)

Fragile X syndrome, characterised by long narrow face and macroorchidism

Chromosome 15q11-q13 du/triplications and deletions (i.e. Angelman syndrome and Prader-Willi syndrome)

Rett syndrome

Smith-Lemli-Opitz syndrome (a cholesterol biosynthesis disorder)

Prenatal and perinatal risk factors

A number of prenatal and perinatal complications have been reported as possible risk factors for autism. These risk factors include maternal gestational diabetes, maternal and paternal age over 30, bleeding after first trimester, use of prescription medication (e.g. valproate) during pregnancy, and meconium in the amniotic fluid. While research is not conclusive on the relation of these factors to autism, each of these factors has been identified more frequently in autistic children compared to their non-autistic siblings and other normally developing youth.[27]

Vaccine controversy

Probably the most damaging recent claim regarding autism etiology is the "vaccine controversy".[28] This conjecture, arising from a case of scientific misconduct,[29] suggested that autism results from brain damage caused either by (1) the measles, mumps, rubella (MMR) vaccine itself, or by (2) thimerosal, a vaccine preservative that is 50% ethylmercury.[30] The medical consensus is that no convincing scientific evidence supports these claims, based on various lines of evidence including the observation that the rate of autism continues to climb despite elimination of thimerosal from routine childhood vaccines.[31]

Pathophysiology

In general, neuroanatomical studies support the notion that autism is linked to a combination of brain enlargement in some areas and brain reduction in other areas.[32] These studies suggest that autism may be caused by abnormal neuronal growth and pruning during the early stages of prenatal and postnatal brain development, leaving some areas of the brain with too many neurons and other areas with too few neurons.[33] Some research has reported an overall brain enlargement in autism while others suggest abnormalities in several areas of the brain, including the frontal lobe, the mirror neuron system, the limbic system, the temporal lobe, and the corpus callosum.

In neuroanatomical studies, when performing Theory of Mind and facial emotion response tasks, the median person on the autism spectrum exhibits less activation in the primary and secondary somato-sensory cortices than does the median member of a properly sampled control population. This discrepancy is consistent with reports of abnormal patterns of cortical thickness and grey matter volume in those regions of autistic persons' brains.[34]

Mirror neuron system

The mirror neuron system (MNS) consists of a network of brain areas that have been associated with empathy processes in humans.[35] In humans, the MNS has been identified in the inferior frontal gyrus (IFG) and the inferior parietal lobule (IPL) and is thought to be activated during imitation or observation of behaviors.[36] It has been proposed that problems with the mirror neuron system may underlie autism;[37][38] however the connection between mirror neuron dysfunction and autism is tentative and it remains to be seen how mirror neurons may be related to many of the important characteristics of autism.[39]

Temporal lobe

Functions of the temporal lobe are related to many of the deficits observed in individuals with ASDs, such as receptive language, social cognition, joint attention, action observation, and empathy. The temporal lobe also contains the superior temporal sulcus (STS) and the fusiform face area (FFA), which may mediate facial processing. It has been argued that dysfunction in the STS underlies the social deficits that characterize autism. Compared to typically developing individuals, one fMRI study found that individuals with high functioning autism had reduced activity in the FFA when viewing pictures of faces.[40]

Mitochondrial dysfunction

It has been noted that children with ASD are afflicted with undiagnosed comorbid conditions such as abnormalities in the peripheral nervous, immune, gastrointestinal and energy production systems, suggesting that ASD isn't strictly a central nervous system (CNS) disorder, but rather a systemic one.[41] It has been hypothesized that ASD could be linked to a mitochondrial disorder, as it is a basic cellular abnormality that has the potential to cause disturbances in a wide range of body systems.[42] A recent meta-analysis study, as well as other population studies have shown that approximately 5% of children with ASD meet the criteria for classical mitochondrial disease (MD),[43] and that around 7.2 to 80 percent of children with ASD present with some variant of mitochondrial dysfunction.[44] It is currently unclear why the mitochondrial dysfunction occurs considering that only 23% of children with both ASD and MD present with mitochondrial DNA (mtDNA) abnormalities.[43]

Diagnosis

Evidence-based assessment

The diverse expressions of ASD symptoms pose diagnostic challenges to clinicians. Individuals with an ASD may present at various times of development (e.g., toddler, child, or adolescent) and symptom expression may vary over the course of development.[45] Furthermore, clinicians are required to differentiate among the different pervasive developmental disorders as well as other disorders such as mental retardation not associated with a pervasive developmental disorder, specific developmental disorders (e.g. language), and early onset schizophrenia,[citation needed] as well as the social-cognitive deficits caused by brain damage from alcohol abuse.[46]

Considering the unique challenges associated with diagnosing ASD, specific practice parameters for the assessment of ASD have been published by the American Academy of Neurology,[47] the American Academy of Child and Adolescent Psychiatry,[45] and a consensus panel with representation from various professional societies.[48] The practice parameters outlined by these societies include an initial screening of children by general practitioners (i.e., "Level 1 screening") and for children who fail the initial screening, a comprehensive diagnostic assessment by experienced clinicians (i.e. "Level 2 evaluation"). Furthermore, it has been suggested that assessments of children with suspected ASD be evaluated within a developmental framework, include multiple informants (e.g., parents and teachers) from diverse contexts (e.g., home and school), and employ a multidisciplinary team of professionals (e.g., clinical psychologists, neuropsychologists, and psychiatrists).[49]

After a child fails an initial screening, psychologists administer various psychological assessment tools to assess for ASD.[49] Amongst these measurements, the Autism Diagnostic Interview-Revised (ADI-R) and the Autism Diagnostic Observation Schedule (ADOS) are considered the "gold standards" for assessing autistic children.[50][51] The ADI-R is a semi-structured parent interview that probes for symptoms of autism by evaluating a child's current behavior and developmental history. The ADOS is a semistructured interactive evaluation of ASD symptoms that is used to measure social and communication abilities by eliciting a number of opportunities (or "presses") for spontaneous behaviors (e.g., eye contact) in standardized context. Various other questionnaires (e.g., The Childhood Autism Rating Scale) and tests of cognitive functioning (e.g., The Peabody Picture Vocabulary Test) are typically included in an ASD assessment battery.

Comorbidity

Autism spectrum disorders tend to be highly comorbid with other disorders. Comorbidity may increase with age and may worsen the course of youth with ASDs and make intervention/treatment more difficult. Distinguishing between ASDs and other diagnoses can be challenging because the traits of ASDs often overlap with symptoms of other disorders and the characteristics of ASDs make traditional diagnostic procedures difficult.[52][53]

The most common medical condition occurring in individuals with autism spectrum disorders is seizure disorder or epilepsy, which occurs in 11-39% of individuals with ASD.[54] Tuberous sclerosis, a medical condition in which non-malignant tumors grow in the brain and on other vital organs, occurs in 1-4% of individuals with ASDs.[55]

Intellectual disabilities are some of the most common comorbid disorders with ASDs. Recent estimates suggest that 40-69% of individuals with ASD have some degree of mental retardation,[17] with females more likely to be in severe range of mental retardation. Learning disabilities are also highly comorbid in individuals with an ASD. Approximately 25-75% of individuals with an ASD also have some degree of learning disability.[56]

A variety of anxiety disorders tend to co-occur with autism spectrum disorders, with overall comorbidity rates of 7-84%.[17] Rates of comorbid depression in individuals with an ASD range from 4–58%.[57]

Deficits in ASD are often linked to behavior problems, such as difficulties following directions, being cooperative, and doing things on other people's terms.[58] Attention Deficit Hyperactivity Disorder (ADHD)-like symptoms are seen to be part of the ASD diagnosis.[59]

Sensory processing disorder is also comorbid with ASD, with comorbidity rates of 42-88%.[60]

Management

The main goals of treatment are to lessen associated deficits and family distress, and to increase quality of life and functional independence. No single treatment is best and treatment is typically tailored to the child's needs. Intensive, sustained special education programs and behavior therapy early in life can help children acquire self-care, social, and job skills. Available approaches include applied behavior analysis (ABA), developmental models, structured teaching, speech and language therapy, social skills therapy, and occupational therapy.[61] There has been increasing attention to the development of evidenced-based interventions for young children with ASDs. Unresearched alternative therapies have also been implemented (for example, vitamin therapy and acupuncture). Although evidenced-based interventions for autistic children vary in their methods, many adopt a psychoeducational approach to enhancing cognitive, communication and social skills while minimizing problem behaviors. It has been argued that no single treatment is best and treatment is typically tailored to the child's needs.[61]

One of the most empirically supported intervention approaches is applied behavioral analysis, particularly in regard to early intensive home-based therapy. Although ABA therapy has a strong research base, other studies have found that this approach may be limited by diagnostic severity and IQ.[62]

Early Intensive Behavioral Intervention (EIBI), through the use of Applied Behavioral Analysis (ABA), has been researched for over 40 years in its effectiveness. Most EIBI programs recognize that all skills appropriate for each specific age are teachable and should be taught. General curriculum areas that are addressed are language, social skills, play skills, motor skills, pre-academic and academic skills, and independent living skills. ABA models of intervention for preschool age include two main approaches to teaching. "Discrete Trial Teaching" or DTT, includes multiple discrete opportunities that are presented across the day or session. A discrete trial consists of the therapist presenting an instruction, the child responding, and the therapist responding to that by presenting a consequence. If the child responds incorrectly, the reinforcer is not given and the therapist will follow up with an error correction procedure, followed by another trial. A strength of this way of teaching is the child receives a large number of trials in a short time, allowing for a large amount of learning opportunities. A potential weakness may be that the skills learned in this structured setting are not easily generalized in less strict settings. "Natural Environment Teaching" consists of maximizing naturally occurring learning opportunities. It involves a more child-directed format that allows for the child to initiate learning, and the therapist to recognize this and follow it by prompting the child for a desired behavior before giving the reinforcer.[63]

Epidemiology

Reviews tend to estimate a prevalence of 6 per 1,000 for autism spectrum disorders as a whole,[64] however prevalence rates vary for each of the developmental disorders in the spectrum. Autism prevalence has been estimated at 1-2 per 1,000, Asperger syndrome at roughly 0.6 per 1,000, childhood disintegrative disorder at 0.02 per 1,000, and PDD-NOS at 3.7 per 1,000.[64] These rates are consistent across cultures and ethnic groups, as autism is considered a universal disorder.[17]

While rates of autism spectrum disorders are consistent across cultures, they vary greatly by gender, with boys being affected far more frequently than girls. The average male-to-female ratio for ASDs is 4.2:1,[65] affecting 1 in 70 males, but only 1 in 315 females.[66] Females, however, are more likely to have associated cognitive impairment. Among those with an ASD and mental retardation, the sex ratio may be closer to 2:1.[67] Prevalence differences might be accounted by gender differences in the expression of clinical symptoms, with females showing less atypical behaviors and, therefore, less likely to receive an ASD diagnosis.[68]

History

Controversies have surrounded various claims regarding the etiology of autism spectrum disorders. In the 1950s, the "refrigerator mother theory" emerged as an explanation for autism. The hypothesis was based on the idea that autistic behaviors stem from the emotional frigidity, lack of warmth, and cold, distant, rejecting demeanor of a child's mother.[69] Naturally, parents of children with an autism spectrum disorder suffered from blame, guilt, and self-doubt, especially as the theory was embraced by the medical establishment and went largely unchallenged into the mid-1960s. While the "refrigerator mother theory" has been rejected in the research literature, its effects have lingered into the 21st century. Another controversial claim suggests that watching extensive amounts of television may cause autism. This hypothesis was largely based on research suggesting that the increasing rates of autism in the 1970s and 1980s were linked to the growth of cable television at this time.[31] This conjecture has not been supported in the research literature.[citation needed]

See also

References

  1. ^ "Autism spectrum disorder fact sheet" (PDF). DSM5.org. American Psychiatric Publishing. 2013. Retrieved October 13, 2103. {{cite web}}: Check date values in: |accessdate= (help)
  2. ^ "Home | APA DSM-5". Dsm5.org. Retrieved 2012-02-21.
  3. ^ a b Lord C, Cook EH, Leventhal BL, Amaral DG. Autism spectrum disorders. Neuron. 2000;28(2):355–63. doi:10.1016/S0896-6273(00)00115-X. PMID 11144346.
  4. ^ American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 4th ed., text revision (DSM-IV-TR). 2000. ISBN 0890420254. Diagnostic criteria for 299.80 Asperger's Disorder (AD).
  5. ^ a b National Institute of Mental Health. Autism spectrum disorders (pervasive developmental disorders); 2009 [Retrieved 2009-04-23].
  6. ^ Freitag CM. The genetics of autistic disorders and its clinical relevance: a review of the literature. Mol Psychiatry. 2007;12(1):2–22. doi:10.1038/sj.mp.4001896. PMID 17033636.
  7. ^ a b Piven J, Palmer P, Jacobi D, Childress D, Arndt S. Broader autism phenotype: evidence from a family history study of multiple-incidence autism families [PDF]. Am J Psychiatry. 1997;154(2):185–90. PMID 9016266.
  8. ^ Klin A. Autism and Asperger syndrome: an overview. Rev Bras Psiquiatr. 2006;28(suppl 1):S3–S11. doi:10.1590/S1516-44462006000500002. PMID 16791390.
  9. ^ a b Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.). Washington, D.C.: American Psychiatric Association. 2000.
  10. ^ "NINDS Asperger Syndrome Information Page". National Institute of Neurological Disorders and Stroke.
  11. ^ Mesibov, G.B. (1997). "Ask the Editor: What is PDD-NOS and how is it diagnosed?". Journal of Autism and Developmental Diso. 27 (4).
  12. ^ Zwaigenbaum L, Bryson S, Lord C; et al. (2009). "Clinical assessment and management of toddlers with suspected autism spectrum disorder: insights from studies of high-risk infants". Pediatrics. 123 (5): 1383–91. doi:10.1542/peds.2008-1606. PMC 2833286. PMID 19403506. {{cite journal}}: Explicit use of et al. in: |author= (help); Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  13. ^ Lord, C (1995). "Follow-up of two-year-olds referred for possible autism". Journal of Child Psychology and Psychiatry. 36 (8): 1365–1382. doi:10.1111/j.1469-7610.1995.tb01669.x. PMID 8988272.
  14. ^ Zwaigenbaum L (2001). "Autistic spectrum disorders in preschool children". Can Fam Physician. 47: 2037–42. PMC 2018435. PMID 11723598. {{cite journal}}: Unknown parameter |month= ignored (help)
  15. ^ Martínez-Pedraza Fde L, Carter AS (2009). "Autism spectrum disorders in young children". Child Adolesc Psychiatr Clin N Am. 18 (3): 645–63. doi:10.1016/j.chc.2009.02.002. PMC 3166636. PMID 19486843. {{cite journal}}: Unknown parameter |month= ignored (help)
  16. ^ Werner, E (2005). "Variation in early developmental course in autism and its relation with behavioral outcome at 3-4 years of age". Journal of Autism and Developmental Disorders. 35 (3): 337–350. doi:10.1007/s10803-005-3301-6. PMID 16119475. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  17. ^ a b c d e Mash & Barkley (2003). Child Psychopathology. New York: The Guilford Press. pp. 409–454.
  18. ^ [unreliable medical source?] Mawhood, L (2000). "Autism and developmental receptive language disorder: A comparative follow-up in early adult life. I. Cognitive and language outcomes". Journal of Child Psychology and Psychiatry. 41 (5): 547–559. doi:10.1111/1469-7610.00642. PMID 10946748. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  19. ^ Dawson & Osterling (1997). The effectiveness of early intervention. Baltimore: Brookes. pp. 307–326.
  20. ^ Tager-Flusberg H (2010). "The origins of social impairments in autism spectrum disorder: studies of infants at risk". Neural Netw. 23 (8–9): 1072–6. doi:10.1016/j.neunet.2010.07.008. PMC 2956843. PMID 20800990.
  21. ^ Rutter, M (2000). "Genetic studies of autism: From the 1970s into the millennium". Journal of Abnormal Child Psychology. 28 (1): 3–14. doi:10.1023/A:1005113900068. PMID 10772346.
  22. ^ Szatmari, P (1999). "Heterogeneity and the genetics of autism". Journal of Psychiatry and Neuroscience. 24 (2): 159–165. PMC 1188998. PMID 10212560.
  23. ^ Rutter, M (1990). "Genetic factors in child psychiatric disorders: II. Empirical findings". Journal of Child Psychology and Psychiatry. 31 (1): 39–83. doi:10.1111/j.1469-7610.1990.tb02273.x. PMID 2179248. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  24. ^ Losh M, Sullivan PF, Trembath D, Piven J (2008). "Current developments in the genetics of autism: from phenome to genome". J. Neuropathol. Exp. Neurol. 67 (9): 829–37. doi:10.1097/NEN.0b013e318184482d. PMC 2649757. PMID 18716561. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  25. ^ Freitag CM, Staal W, Klauck SM, Duketis E, Waltes R (2010). "Genetics of autistic disorders: review and clinical implications". Eur Child Adolesc Psychiatry. 19 (3): 169–78. doi:10.1007/s00787-009-0076-x. PMC 2839494. PMID 19941018. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  26. ^ Chaste P, Leboyer M (2012). "Autism risk factors: genes, environment, and gene-environment interactions". Dialogues Clin Neurosci. 14 (3): 281–92. PMC 3513682. PMID 23226953. {{cite journal}}: Unknown parameter |month= ignored (help)
  27. ^ Gardner, H (2011). "Perinatal and Neonatal Risk Factors for Autism: A Comprehensive Meta-analysis". Pediatrics. 128 (2): 344–355. doi:10.1542/peds.2010-1036. PMID 21746727. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  28. ^ Flaherty, DK (2011). "The vaccine-autism connection: a public health crisis caused by unethical medical practices and fraudulent science". The Annals of pharmacotherapy. 45 (10): 1302–4. doi:10.1345/aph.1Q318. PMID 21917556.
  29. ^ Godlee, F (2011). "Wakefield's article linking MMR vaccine and autism was fraudulent". BMJ (Clinical research ed.). 342: c7452. doi:10.1136/bmj.c7452. PMID 21209060. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  30. ^ Tan (2008). "Route of decomposition of thimerosal". International Journal of Pharmacy. 24: 13299–13305. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  31. ^ a b Waterhous, Lynn (2008). "Autism overflows: Increasing prevalence and proliferating theories". Neuropsychological Review. 18 (4): 273–286. doi:10.1007/s11065-008-9074-x. Cite error: The named reference "Waterhouse 2008" was defined multiple times with different content (see the help page).
  32. ^ Koenig, Kathleen; Tsatsanis, Katherine D.; Volkmar, Fred R. (2001). Neurobiology and Genetics ofd Autism : A Developmental Perspective. Mahwah, N.J.: L. Erlbaum,. pp. 73–92. ISBN 9780805832457. OCLC 806185029. {{cite book}}: |access-date= requires |url= (help); |work= ignored (help); Unknown parameter |editors= ignored (|editor= suggested) (help)CS1 maint: extra punctuation (link)
  33. ^ Minshew, NJ (1996). "Brief report: Brain mechanisms in autism: Functional and structural abnormalities". Journal of Autism and Developmental Disorders. 26 (2): 205–209. doi:10.1007/BF02172013. PMID 8744486.
  34. ^ Sugranyes G, Kyriakopoulos M, Corrigall R, Taylor E, Frangou S (2011). "Autism spectrum disorders and schizophrenia: meta-analysis of the neural correlates of social cognition". PLoS ONE. 6 (10): e25322. doi:10.1371/journal.pone.0025322. PMC 3187762. PMID 21998649.{{cite journal}}: CS1 maint: multiple names: authors list (link) CS1 maint: unflagged free DOI (link)
  35. ^ Fadiga, L. (2005). "Human motor cortex excitability during the perception of others' action". Curr Opin Neurobiol. 15 (2): 213–218. doi:10.1016/j.conb.2005.03.013. PMID 15831405. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  36. ^ Shamay-Tsoory, S.G. (2011). "The Neural Bases for Empathy". The Neuroscientist. 17 (1): 18–24. doi:10.1177/1073858410379268. PMID 21071616.
  37. ^ Nishitani, N. (2004). "Abnormal imitation-related cortical activation sequences in Asperger's syndrome". Ann Neurol. 55 (4): 558–562. doi:10.1002/ana.20031. PMID 15048895. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  38. ^ Dapretto, M.; Davies M.S.; et al. (2006). "Understanding emotions in others: mirror neuron dysfunction in children with autism spectrum disorders". Nat Neurosci. 9 (1): 28–30. doi:10.1038/nn1611. PMID 16327784. {{cite journal}}: Unknown parameter |author-separator= ignored (help)
  39. ^ Dinstein I, Thomas C, Behrmann M, Heeger DJ (2008). "A mirror up to nature". Curr Biol. 18 (1): R13–8. doi:10.1016/j.cub.2007.11.004. PMC 2517574. PMID 18177704.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  40. ^ Schultz, R. (2005). "Developmental deficits in social perception in autism: The role of amygdala and fusiform face area". International Journal of Developmental Neuroscience. 23 (2–3): 125–141. doi:10.1016/j.ijdevneu.2004.12.012. PMID 15749240.
  41. ^ Xue Ming, Brimacombe M, Chaaban J, Zimmerman-Bier B, Wagner GC (2008). "Autism spectrum disorders: concurrent clinical disorders". J Child Neurol. 23 (1): 6–13. doi:10.1177/0883073807307102. PMID 18056691.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  42. ^ Haas RH, Parikh S, Falk MJ, Saneto RP, Wolf NI, Darin N, Cohen BH (2007). "Mitochondrial disease: a practical approach for primary care physicians". Pediatrics. 120 (6): 1326–1333. doi:10.1542/peds.2007-0391. PMID 18055683.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  43. ^ a b Rossignol DA, Frye RE (2010). "Mitochondrial dysfunction in autism spectrum disorders: a systematic review and meta-analysis". Mol Psychiatry. 17 (3): 290–314. doi:10.1038/mp.2010.136. PMID 21263444.
  44. ^ Oliveira G, Diogo L, Grazina M, Garcia P, Ataíde A, Marquess C, Miguel T, Borges L, Vicente AM, Oliveira CR (2005). "Mitochondrial dysfunction in autism spectrum disorders: a population-based study". Dev Med Child Neurol. 47 (3): 185–189. PMID 15739723.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  45. ^ a b Volkmar F, Cook EH, Pomeroy J, Realmuto G, Tanguay P (1999). "Practice parameters for the assessment and treatment of children, adolescents, and adults with autism and other pervasive developmental disorders. American Academy of Child and Adolescent Psychiatry Working Group on Quality Issues". J Am Acad Child Adolesc Psychiatry. 38 (12 Suppl): 32S–54S. PMID 10624084. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  46. ^ Uekermann J, Daum I (2008). "Social cognition in alcoholism: a link to prefrontal cortex dysfunction?". Addiction. 103 (5): 726–35. doi:10.1111/j.1360-0443.2008.02157.x. PMID 18412750. {{cite journal}}: Unknown parameter |month= ignored (help)
  47. ^ Filipek PA, Accardo PJ, Ashwal S; et al. (2000). "Practice parameter: screening and diagnosis of autism: report of the Quality Standards Subcommittee of the American Academy of Neurology and the Child Neurology Society". Neurology. 55 (4): 468–79. PMID 10953176. {{cite journal}}: Explicit use of et al. in: |author= (help); Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  48. ^ Filipek PA, Accardo PJ, Baranek GT; et al. (1999). "The screening and diagnosis of autistic spectrum disorders". J Autism Dev Disord. 29 (6): 439–84. doi:10.1023/A:1021943802493. PMID 10638459. {{cite journal}}: Explicit use of et al. in: |author= (help); Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  49. ^ a b Ozonoff, S. (2005). "Evidence-Based Assessment of Autism". Journal of Clinical and Child Adolescent Psychology. 34 (3): 523–540. doi:10.1207/s15374424jccp3403_8. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  50. ^ Corsello C, Hus V, Pickles A; et al. (2007). "Between a ROC and a hard place: decision making and making decisions about using the SCQ". J Child Psychol Psychiatry. 48 (9): 932–40. doi:10.1111/j.1469-7610.2007.01762.x. PMID 17714378. {{cite journal}}: Explicit use of et al. in: |author= (help); Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  51. ^ Huerta M, Lord C (2012). "Diagnostic evaluation of autism spectrum disorders". Pediatr. Clin. North Am. 59 (1): 103–11, xi. doi:10.1016/j.pcl.2011.10.018. PMC 3269006. PMID 22284796. {{cite journal}}: Unknown parameter |month= ignored (help)
  52. ^ Helverschou,, S.B.; Bakken, T.L.; Martinsen., H. (2011). Psychiatric Disorders in People with Autism Spectrum Disorders: Phenomenology and Recognition. New York: Springer,. pp. 53–74. ISBN 9781441980649. OCLC 746203105. {{cite book}}: |access-date= requires |url= (help); |work= ignored (help); Unknown parameter |editors= ignored (|editor= suggested) (help)CS1 maint: extra punctuation (link)
  53. ^ Underwood L, McCarthy J, Tsakanikos E (2010). "Mental health of adults with autism spectrum disorders and intellectual disability". Curr Opin Psychiatry. 23 (5): 421–6. doi:10.1097/YCO.0b013e32833cfc18. PMID 20613532. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  54. ^ Ballaban-Gil, K (2000). "Epilepsy and epileptiform EEG: Association with autism and language disorders". Mental Retardation and Developmental Disabilities Research Reviews. 6 (4): 300–308. doi:10.1002/1098-2779(2000)6:4<300::AID-MRDD9>3.0.CO;2-R. PMID 11107195. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  55. ^ Wiznitzer, M (2004). "Autism and tuberous sclerosis". Journal of Child Neurology. 19 (9): 675–679. PMID 15563013.
  56. ^ O'Brien, G (2004). "Autism and learning disability". Autism. 8 (2): 125–140. doi:10.1177/1362361304042718. PMID 15165430. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  57. ^ Lainhart, J (1999). "Psychiatric problems in individuals with autism, their parents and siblings". International Review of Psychiatry. 11 (4): 278–298. doi:10.1080/09540269974177.
  58. ^ Tsakanikos E, Costello H, Holt G, Sturmey P, Bouras N (2007). "Behaviour management problems as predictors of psychotropic medication and use of psychiatric services in adults with autism" (PDF). J Autism Dev Disord. 37 (6): 1080–5. doi:10.1007/s10803-006-0248-1. PMID 17053989. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  59. ^ Rommelse, NN (2010). "Shared heritability of attention-deficit/hyperactivity disorder and autism spectrum disorder". European Child and Adolescent Psychiatry. 19 (3): 281–295. doi:10.1007/s00787-010-0092-x. PMC 2839489. PMID 20148275. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  60. ^ Baranek, G (2002). "Efficacy of sensory and motor interventions in children with autism". Journal of Autism and Developmental Disorders. 32 (5): 397–422. doi:10.1023/A:1020541906063. PMID 12463517.
  61. ^ a b Myers SM, Johnson CP, Council on Children with Disabilities. Management of children with autism spectrum disorders. Pediatrics. 2007;120(5):1162–82. doi:10.1542/peds.2007-2362. PMID 17967921.
  62. ^ Rogers SJ, Vismara LA (2008). "Evidence-based comprehensive treatments for early autism". J Clin Child Adolesc Psychol. 37 (1): 8–38. doi:10.1080/15374410701817808. PMC 2943764. PMID 18444052. {{cite journal}}: Unknown parameter |month= ignored (help)
  63. ^ Granpeesheh, PhD, BCBA, Doreen. "Applied behavior analytic interventions for children with autism: A description and review of treatment research". The Journal of Family Practice. Retrieved February 20, 2011.{{cite web}}: CS1 maint: multiple names: authors list (link)
  64. ^ a b Newschaffer CJ, Croen LA, Daniels J; et al. (2007). "The epidemiology of autism spectrum disorders". Annu Rev Public Health. 28: 235–58. doi:10.1146/annurev.publhealth.28.021406.144007. PMID 17367287. {{cite journal}}: Explicit use of et al. in: |author= (help)CS1 maint: multiple names: authors list (link)
  65. ^ Fombonne, E (2009). "Epidemiology of Pervasive Developmental Disorders". Pediatric Research. 65 (6): 591–598. doi:10.1203/PDR.0b013e31819e7203. PMID 19218885.
  66. ^ (ADDM) Autism and Developmental Disabilities Monitoring Network Surveillance Year 2006 Principal Investigators (2009). "Prevalence of autism spectrum disorders-Autism and Developmental Disabilities Monitoring Network". MMWR Surveillance Summary. 58: 1–20.{{cite journal}}: CS1 maint: numeric names: authors list (link)
  67. ^ Volkmar, F (2004). "Autism and pervasive developmental disorders". Journal of Child Psychology and Psychiatry. 45 (1): 135–170. doi:10.1046/j.0021-9630.2003.00317.x. PMID 14959806. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  68. ^ Tsakanikos, Elias; Underwood, Lisa; Kravariti, Eugenia; Bouras, Nick; McCarthy, Jane (2011). "Gender differences in co-morbid psychopathology and clinical management in adults with autism spectrum disorders". Research in Autism Spectrum Disorders. 5 (2): 803–808. doi:10.1016/j.rasd.2010.09.009. ISSN 1750-9467.
  69. ^ Kanner, L (1949). "Problems of nosology and psychodynamics in early childhood autism". American Journal of Orthopsychiatry. 19 (3): 416–426. doi:10.1111/j.1939-0025.1949.tb05441.x. PMID 18146742.

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