Autistic Spectrum Disorders

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Chapter 48 Autistic Spectrum Disorders

The autistic spectrum disorders (ASD) represent a wide continuum of associated cognitive and neurobehavioral deficits, including deficits in socialization and communication, with restricted and repetitive patterns of behaviors [American Psychiatric Association, 1994, 2000]. The terms autism and autistic spectrum disorders are used interchangeably throughout this chapter and refer to the broader umbrella of pervasive developmental disorders (PDD), as defined by the Fourth Edition of the Diagnostic and Statistical Manual of Mental Disorders [American Psychiatric Association, DSM-IV, 1994; DSM-IV-TR, 2000].

Historical Perspective of the DSM

Although Kanner [1943] first described a syndrome of “autistic disturbances” in 11 children who shared “unique” and previously unreported patterns of behavior, including social remoteness, obsessiveness, stereotypy, and echolalia, the first set of formal diagnostic criteria for this disorder was not formulated until the 1970s [Ritvo and Freeman, 1978; Rutter and Hersov, 1977]. In the DSM-III [American Psychiatric Association, 1980], the term “autism” was included for the first time, and was clearly differentiated from childhood schizophrenia and other psychoses under a new diagnostic umbrella of pervasive developmental disorders; the possible PDD diagnoses included the terms infantile autism (onset before age 30 months) and childhood-onset pervasive developmental disorder (onset after age 30 months), with each further subclassified as full syndrome present or residual state. The DSM-IIIR [American Psychiatric Association, 1987] broadened the spectrum of PDD and narrowed the specific diagnoses to two: autistic disorder and PDD – not otherwise specified (PDD-NOS). The DSM-IV [1994] and DSM-IV-TR [2000] included five possible diagnoses under the PDD umbrella: autistic disorder, Asperger’s disorder, childhood disintegrative disorder, Rett’s syndrome, and PDD-NOS/atypical autism. With an anticipated publication date of 2013, DSM-V [in press] will most likely eliminate the term PDD and instead will use autistic spectrum disorders as the umbrella term, with autistic disorder and atypical autism as the two possible diagnostic categories (Box 48-1).

Clinical Features of ASD

All individuals on the autistic spectrum demonstrate deficits in three core domains: reciprocal social interactions, verbal and nonverbal communication, and restricted and repetitive behaviors or interests [American Psychiatric Association, 1994, 2000]. There is marked variability in the severity of symptoms across patients, and cognitive function can range from profound mental retardation through the superior range on conventional IQ tests. Symptoms and signs are discussed in detail in the DSM-IV, in the monograph edited by Rapin [1996], in the Wing Autistic Disorders Interview Checklist – Revised [Wing, 1996], and in numerous additional publications [Allen, 1988; Allen and Rapin, 1992; Barbaro and Dissanayake, 2009; Filipek et al., 1999; Greenspan et al., 2008; Rapin and Tuchman, 2008; Zwaigenbaum et al., 2009] (Box 48-2).

Box 48-2 DSM-IV/DSM-IV-TR Diagnostic Criteria for 299.00 Autistic Disorder

A. A total of six (or more) items from 1, 2, and 3, with two from 1 and at least one each from 2 and 3:

(From American Psychiatric Association. Diagnostic and statistical manual of mental disorders, 4th edn. Washington, DC: American Psychiatric Association, 1994.)

Qualitative Impairment in Social Interactions

The criteria in this domain refer to a qualitative impairment in reciprocal social interactions, not to the absolute lack of social behaviors. Behaviors range from total lack of awareness of another person to the presence of eye contact that is not used to modulate social interactions. The qualitative nature of this and the communication domains were first included in the DSM-IV [1994].

As infants, some autistic children do not lift up their arms or change posture in anticipation of being held. They may or may not cuddle, or even stiffen when held, and often do not look or smile when making a social approach. The characteristic give-and-take in lap play that is seen in typically developing infants and toddlers is often missing. Typically developing infants and toddlers often take great delight in using their newfound “pointer” finger to request or to show; those with ASD usually do not point to request or show/share. Older children often do not point things out or use eye contact to share the pleasure of seeing something with another person, which is called joint attention or social referencing.

Some children do make eye contact, often only in brief glances, but the eye contact is usually not used to get someone’s attention. Others may make inappropriate eye contact by turning someone else’s head to gaze into their eyes. Autistic children may appear to ignore a familiar or unfamiliar person because of a lack of social interest. Some children do make social approaches, although their conversational turn-taking or modulation of eye contact is often grossly impaired. At the opposite extreme of social interactions, some children may make indiscriminate approaches to strangers (e.g., climb into the examiner’s lap before the parent has entered the room, be unaware of psychologic barriers, or be described as a child that continuously and inappropriately “gets in your face”).

Some children with autism indicate little or no interest in other children or adults and prefer to play alone, away from others. Others play with adults nearby or sit on the outskirts of other children’s play and engage in parallel play or simply watch the other children. Some children involve other children in designated, often repetitive play, but often only as “assistants,” without heeding any suggestions from the other children. Some prefer to serve in the passive role in other children’s play, such as the infant in a game of house, and follow others’ directions. Other children may seek out one specific child with whom there is a limited solitary interest that dominates the entire relationship.

Autistic children may also have no age-appropriate friends, and older children often are teased or bullied. A child may “want friends” but usually does not understand the concept of the reciprocity and sharing of interests and ideas inherent in friendship. They may refer to all classmates as friends; one telling example is the child who said, “Oh, I have many, many, 29 friends, but none of them likes me.” Verbal children may have one friend, but the relationship may be limited or may focus only on a similar circumscribed interest, such as a particular computer game. Often, children gravitate to either older peers, in which case they play the role of followers, or to much younger peers, in which case they become the leaders.

Qualitative Impairment in (Verbal and Nonverbal) Communication

The communication deficits seen in the autistic spectrum are far more complex than presumed by simple speech delay, and they are similar to the deficits seen in children with developmental language disorders or specific language impairments [Allen and Rapin, 1992]. Expressive language function across the autistic spectrum ranges from complete mutism to verbal fluency, although fluency is often accompanied by many semantic (i.e., word meaning) and verbal pragmatic (i.e., use of language to communicate) errors. Some mute autistic children do not respond to their names, and often, they are initially presumed to be severely hearing-impaired.

In early infancy, some children with ASD do not babble or use any other communicative vocalizations, and they are described as quiet babies. Some children have absolutely no spoken language when speech should be developing, and they fail to compensate with facial expressions or gestures. A typically developing infant or toddler may pull his or her mother over to a desired object and then will clearly point to the object they request. In contrast, a characteristic behavior of many autistic children is to use another person’s hand mechanically to point to the desired object, an action called hand-over-hand “pointing.” Other “independent” children make no demands or requests of the parents but learn to climb at a young age and acquire the desired object for themselves.

A common feature of verbally fluent children is their inability to initiate or sustain a conversation, which requires two or more parties communicating in a give-and-take fashion on a mutually agreed topic. Although they may be able to respond relatively well to, ask questions of, or talk “at” another person, the reciprocity inherent in a conversation is often difficult for individuals with ASD.

A hallmark of autistic speech is immediate or delayed echolalia. Immediate echolalia refers to immediate noncommunicative repetition of words or phrases – the child is simply repeating exactly what was heard without synthesizing the intrinsic language. This ability is a crucial aspect of normal language development in infants under the age of 2 years, but it becomes pathologic when still present as the sole and predominant expressive language after the age of about 18–24 months.

Delayed echolalia or scripts refers to the use of highly ritualized phrases that have been memorized, such as from videos, television, commercials, or overheard conversations. The origin of this stereotypic language does not necessarily have to be clearly identifiable. Many older autistic children incorporate the scripts in an appropriate conversational context, which can give much of their speech a rehearsed and often more fluent quality relative to the rest of their spoken language. Children also demonstrate difficulties with pronouns or other words that change in meaning with context and they often reverse pronouns or refer to themselves in the third person or by name. Others may use literal idiosyncratic phrases or neologisms. Verbal autistic children may speak in detailed and grammatically correct phrases, which are none the less repetitive, concrete, and pedantic. If a child’s answers to questions seem to “miss the point,” further history and conversation with the child should be elicited because this is also a hallmark of autistic language deficits.

Some autistic children do not appropriately use miniature objects, animals, or dolls in pretend play. Others use the miniatures in a repetitive, mechanical fashion without evidence of representational play. Some highly verbal children may invent a fantasy world that becomes the sole focus of repetitive play. A classic example of the lack of appropriate play is the fluent autistic preschooler who “plays” by repeatedly reciting a soliloquy of the old witch scene verbatim from Beauty and the Beast while manipulating dollhouse characters in sequence precisely according to the script. When given the same miniature figures and dollhouse but instructed to play something other than Beauty and the Beast, this child is incapable of synthesizing any other play scenario.

Restricted, Repetitive, and Stereotypic Patterns of Behaviors, Interests, and Activities

Some verbal autistic children ask the same question repeatedly, regardless of what reply is given, or they engage in highly repetitive, perseverative play. Others are preoccupied with special interests that are highly unusual. For example, many children are fascinated with dinosaurs, but autistic children may amass exhaustive facts about every conceivable type of dinosaur and about which museums house which particular fossils; these children often repeatedly “share” their knowledge with others, regardless of the others’ interest or suggestions to the contrary.

Many autistic children are so preoccupied with “sameness” in their home and school environments or routines that little can be changed without prompting a tantrum or other emotional disturbance. For example, some insist that all home furnishings remain in the same position, that all clothing to be a particular color, or that only one specific set of favored sheets be used on the bed. Others may eat only from a specific plate when sitting in a specific chair in a specific room, which may not necessarily be the kitchen or dining room. Some children may insist on being naked while in the home but insist on wearing shoes to the dinner table. This inflexibility may also pertain to familiar routines, such as taking only a certain route to school, entering the grocery store only by one specific door, or never stopping or turning around after the car starts moving. Many parents may not be aware that they are following certain rituals to avoid the emotional upheaval, or they may be aware but are too embarrassed to volunteer such information. Within this context, some children have distinct behavioral repertoires that they use to sustain sameness, even when not imposed externally. By adulthood, many of these rituals may evolve to more classic obsessive-compulsive symptoms.

Some children have obvious stereotypical movements, such as florid hand-clapping or arm-flapping whenever excited or upset, which is pathologic if it occurs after the age of about 18–24 months. Running aimlessly, rocking, spinning, bruxism (teeth grinding), toe-walking, or other odd postures are commonly seen in autistic children. Others may repetitively tap the back of the hand in a less obtrusive manner, or touch or smell items. In higher-functioning youngsters, the stereotypic movements may become “miniaturized” as they get older into more socially acceptable behaviors, such as pill rolling [Bauman, 1992; Rapin, 1996].

Many children demonstrate the classic behavior of lining up toys, videotapes, or other favored objects, but others may simply collect things for no apparent purpose. Many are preoccupied with repetitive actions, such as opening and closing doors, drawers, to flipping the tops of trash cans, or turning light switches repetitively off and on. Others repetitively flick string, elastic bands, measuring tapes, or electric cords. Younger autistic children love spinning objects or themselves. Others are often particularly fascinated with water, and they especially enjoy transferring water repetitively from one vessel into another.

Asperger’s Disorder

The validity of Asperger’s disorder as an entity separate from high-functioning (verbal) children with ASD remains controversial [Ariella Ritvo et al., 2008; Frith, 2004; Howlin, 2003; Macintosh and Dissanayake, 2004; Sanders, 2009; Schopler, 1996; Witwer and Lecavalier, 2008; Woodbury-Smith and Volkmar, 2009], and Asperger’s disorder will most likely not be included as a separate entity under the ASD umbrella in DSM-V [in press]. Clinically, the diagnosis of Asperger’s disorder is often inappropriately given as an alternative, more acceptable, “A-word” to high-functioning autistic children [Bishop, 1989]. The similarity and overlap of signs and symptoms of Asperger’s disorder with nonverbal learning disabilities (NLD) additionally expand the spectrum of these developmental disorders [Harnadek and Rourke, 1994; Klin et al., 1995; Rourke, 1989]; a recent report, however, demonstrates a lack of difficulty with spatial- or problem-solving tasks – a main principle in the NLD model – in a small cohort of children with Asperger’s disorder [Ryburn et al., 2009].

In sharp contrast to autistic disorder, DSM-IV-TR Asperger’s criteria state that “there are no clinically significant delays in early language (e.g., single words are used by age 2, communicative phrases by age 3)” [2000, p. 81]. Normal or near-normal cognitive function is also the rule, including self-help skills, “adaptive behavior (other than in social interaction), and curiosity about the environment in childhood” [1994, p. 77]. Although absence of language delay is required for diagnosis, the DSM-IV definition of single words by age 2 and communicative phrases by age 3 is none the less considerably outside the recognized norm for language development [Coplan and Gleason, 1993; Rossetti, 1990; Sanders, 2009; Zimmerman et al., 2002]. Asperger’s criteria for the qualitative impairments in social interaction and restrictive and repetitive patterns of behaviors and activities are identical to those for autistic disorder (for a recent review, see Woodbury-Smith and Volkmar [2009]).

High verbal skills are the rule in Asperger’s disorder, which typically leads to later clinical recognition than with autistic disorder [Volkmar and Cohen, 1991; Woodbury-Smith and Volkmar, 2009]. Despite the DSM-IV definition [1994, 2000], language in Asperger’s disorder is clearly not typical or normal. For example, there usually is pedantic and poorly intoned speech, poor nonverbal pragmatic or communication skills, and intense preoccupation with circumscribed topics, such as the weather or railway timetables [Ghaziuddin and Gerstein, 1996; Klin et al., 1995; Wing, 1981]. Individuals with Asperger’s use fewer personal pronouns, temporal expressions, and referential expressions [Colle et al., 2008]. They often exhibit deficits in the semantics and verbal pragmatics of language, resulting in concrete and literal speech; their answers often miss the point. They also demonstrate deficits in general receptive language [Koning and Magill-Evans, 2001; Noterdaeme et al., 2009; Saalasti et al., 2008] and in prosodic comprehension [Jarvinen-Pasley et al., 2008]. Szatmari et al. [1995] further define this disorder by the complete lack of delayed echolalia, pronoun reversal, or neologisms in language production.

Socially, individuals with Asperger’s disorder are usually unable to form true friendships. Because of their naive, inappropriate, one-sided social interactions and lack of empathy, they may be ridiculed by their peers. Often, they cease their attempts to develop friendships because of the cruel ridicule and then remain extremely socially isolated. Fine and gross motor deficits have been described, including clumsy and uncoordinated movements and odd postures [Jansiewicz et al., 2006; Klin et al., 1995; Nishitani et al., 2004; Rinehart et al., 2006; Wing, 1981]. However, frank motor apraxia is an inconsistent finding [Dziuk et al., 2007; Mostofsky et al., 2006].

Autistic Regression and Childhood Disintegrative Disorder

Approximately 22–35 percent of autistic children initially appear to develop normally until at least 12 months of age, followed by loss of language and/or social skills [Baird et al., 2008; Meilleur and Fombonne, 2009; Rogers, 2004; Tuchman and Rapin, 1997; Wiggins et al., 2009]. Loss of language skills has been found to be specific for ASD [Kurita, 1996; Pickles et al., 2009]. Parents usually report that infants were socially responsive, smiled, waved bye-bye, and said some words, but they then suddenly or gradually stopped speaking and seemed to withdraw. In an on-going surveillance program, Wiggins et al. [2009] found that, not surprisingly, children with a known ASD diagnosis had a higher rate of parentally reported regression than those identified with ASD through the retrospective record review (26 percent vs. 17 percent, respectively). Regression occurred at a median age of 24 months; boys were more likely to demonstrate regression than girls, and at earlier ages. Children who experienced regression were diagnosed with ASD much earlier (mean age 4.2 years) than those without regression (mean age 6.2 years) [Shattuck et al., 2009].

One difficulty hindering a better understanding of autistic regression involves the disentangling of age at onset from age at recognition [Chawarska et al., 2007; Volkmar et al., 1985]. Many children thought by parents to be normal in the first 18 months may indeed show signs or symptoms on retrospective evaluation of home movies and videotapes by as early as 12 months of age [Baranek, 1999; Goldberg et al., 2003; Maestro et al., 2005; Osterling and Dawson, 1994, 1999; Ozonoff et al., 2005; Werner and Dawson, 2005]. Goldberg et al. [2008] found significant concordance between parental report and retrospective analysis of home videotapes of regression only in the language domains.

As recently reviewed by Tuchman [2006, 2009], there is considerable controversy surrounding the relation between autistic regression and epilepsy, with regression associated with an epileptiform electroencephalogram (EEG) approximately 20 percent of the time. Studies report both higher [Hrdlicka, 2008; Kobayashi and Murata, 1998] and lower rates [Baird et al., 2008; Tuchman et al., 1991] of epilepsy in regression. The behavioral phenotypes of autistic regression, Landau–Kleffner syndrome (LKS), and continuous spike-wave during slow-wave sleep (CSWS) overlap considerably, and may represent distinct syndromes based on age of regression, degree and type of regression, and frequency of epilepsy and EEG abnormalities [Tuchman, 2009]. Children with LKS and isolated language regression are more likely to have epileptiform EEGs and seizures than those with an autistic regression [McVicar et al., 2005].

Mitochondrial disorders have recently been reported to be associated with autism, and with regression in particular [Poling et al., 2006]. In a cohort of 25 patients with ASD and definite or probable mitochondrial disease by the Modified Walker and Mitochondrial Disease Criteria [Bernier et al., 2002; Wolf and Smeitink, 2002], Weissman found that 56 percent experienced regression of previously acquired skills; 64 percent of the regressions were multiple, and 43 percent had the regression(s) after 3 years of age [Weissman et al., 2008]. Shoffner et al. [2009] found that 61 percent of children with ASD and mitochondial disease experienced a regression, 71 percent associated with and 29 percent without fever.

By DSM-IV definition, childhood disintegrative disorder (CDD) refers to the rare phenomenon of normal early development until at least age 24 months, followed by the loss of language, social, play, or motor skills which culminate most often in symptoms of autism. Previously called Heller’s syndrome, dementia infantalis, or disintegrative psychosis, CDD usually occurs between 36 and 48 months of age but may occur up to age 10 years [American Psychiatric Association, 1994, 2000]. There is, therefore, much overlap between CDD and autistic regression, which has led to significant controversy [Hendry, 2000; Malhotra and Gupta, 2002]. The category of CDD will most likely be retained in DSM-V [in press] under the umbrella of ASD; however, the diagnostic criteria may be changed to reflect the increased understanding of the phenomenon of regression in autism. The lower age limit of CDD will most likely be increased to age 3 years, with autistic regression occurring prior to age 3 years remaining under autism.

CDD is considered rare, with recent epidemiological data suggesting a prevalence estimate of 2 per 100,000 [Fombonne, 2002b, 2009]. It is usually associated with more severe autistic symptoms than is early-onset autism, including profound loss of cognitive skills resulting in mental retardation. There is a 4:1 male predominance and a mean age of onset of 29 ± 16 months; more than 95 percent demonstrate symptoms of speech loss, social disturbances, stereotyped behaviors, resistance to change, anxiety, and deterioration of self-help skills [Kurita et al., 2004a, b; Mouridsen, 2003; Volkmar and Rutter, 1995]. The risk of epilepsy may be as high as 70 percent [Mouridsen et al., 1999]. Children with CDD after age 3 years are more likely to have seizures than those who regress before age 24 months [Klein et al., 2000; Shinnar et al., 2001; Wilson et al., 2003]. Treatment experience in CDD has been generally limited to anticonvulsant therapy for seizures, although Mordekar et al. [2009] recently reported amelioration of behavior, language, and motor regression after corticosteroid treatment in two children with CDD, seizures, and/or epileptiform EEG patterns.

Pervasive Developmental Disorder – Not Otherwise Specified and Atypical Autism

The diagnosis of atypical autism or PDD-NOS is used when clinically significant autistic symptoms are present involving reciprocal social interactions, verbal or nonverbal communication, or stereotyped behavior, interests, and activities, but criteria are not met for a specific diagnostic category under the umbrella of autistic spectrum or pervasive developmental disorders (e.g., a child who does not meet the required 6 of 12 criteria for the diagnosis of autistic disorder) [American Psychiatric Association, 1994, 2000]. Children whose symptoms are atypical or not as severe are coded under this diagnosis. It should be noted that the DSM-IV definition of PDD-NOS required that a child meet only 1 of the 12 criteria in any of the three core domains; in DSM-IV-TR, the definition was changed to require impairment in the development of reciprocal social interaction and either impairment in verbal and nonverbal communication skills or the presence of stereotyped behavior, interests, and activities. It is expected that this diagnostic category will be eliminated in the DSM-V [in press, Box 48-3].

Box 48-3 Proposed Revision to 299.00 in DSM-V: Autism Spectrum Disorder

Must meet criteria 1, 2, and 3:

Rationale

(American Psychiatric Association. Proposed Revisions to 299.00 Autistic Disorder in DSM-V, 2010. Retrieved 28 February 2010, from http://www.dsm5.org/ProposedRevisions/Pages/proposedrevision.aspx?rid=94#.)

Epidemiology

The reported prevalence of autism has dramatically increased, and it is now recognized as one of the most common developmental disorders. Most studies come from industrialized countries, but there is increasing awareness of autism and other developmental disabilities in less developed communities around the world. For many years after autism was first described in the 1940s, prevalence was considered to be 2–4 cases per 10,000 children [Wing and Potter, 2002]. Fombonne [2003a] reviewed a total of 32 epidemiological studies published from 1966 through 2001. For the 16 studies published from 1966 to1991, the median prevalence was 4.4 per 10,000; for the 16 studies published from 1992 to 2001, the median was 12.7 per 10,000.

The Centers for Disease Control and Prevention (CDC) examined children in metropolitan Atlanta, Georgia, who were 3–10 years old in 1996, and found a prevalence of children who were diagnosed with ASD of 3.4 per 1000 (CI = 3.0–3.7) [Yeargin-Allsopp et al., 2003]. A 2002 CDC survey of 400,000 children aged 8 years (born in 1994) found a prevalence of 6.6 per 1000 with a wide variation across the 14 states in the study [ADDM, 2007]. Most recently, the CDC reported a prevalence rate of 9.0 per 1000 in 2006 in 307,790 8-year-old children across 11 states [ADDM, 2009]. All of these CDC studies relied on abstraction of health and education records.

Higher numbers have been more recently reported in other studies that relied on active screening and diagnosis of populations of children. The prevalence of ASDs in 55,000 British 8- and 9-year-old children was 11 per 1000 [Baird et al., 2006b], and in a separate study of children ages 5–9 years, cases were documented at a rate of 1 per 100, but the authors thought that not all cases were likely to have been found [Baron-Cohen et al., 2009]. Based on the most recent parent-reported U.S. diagnostic survey, the prevalence for ASD was as high as 11 per 1000 [Kogan et al., 2009]. Definitions used, screening methods, diagnostic criteria, and completeness of sampling varied in these studies; all have methodologic issues affecting prevalence results [Bresnahan et al., 2009; Charman et al., 2009; Hertz-Picciotto and Delwiche, 2009; King and Bearman, 2009; Nassar et al., 2009].

A number of factors contribute to this apparent increase. Diagnostic criteria have evolved and broadened; the concept of autism is now defined as autistic disorder plus the broader autistic spectrum disorders, including Asperger’s syndrome and PDD-NOS; there is now co-diagnosis with known medical disorders such as fragile X syndrome, Tourette’s syndrome (TS) and Down syndrome; and the growing public awareness among parents and teachers has led, in developing countries, to earlier and more accurate diagnoses. The increased availability of services [Nassar et al., 2009] and the ability to diagnose children at younger ages [Parner et al., 2008] may influence the frequency of diagnosis. Children earlier diagnosed as mentally retarded may have met current criteria for autism [King and Bearman, 2009; Nassar et al., 2009; Prior, 2003]. Bishop et al. [2008] found that up to 60 percent of adults previously diagnosed with developmental language disorder would meet more recent criteria for PDD. Case ascertainment methodology is also a factor, because using multiple sources and broad population screening increases the number of cases found. There are little data on prevalence in older populations.

Clearly, a substantial proportion of the increase seen in autism is due to factors such as a combination of better, more population-based studies and changes in the diagnostic criteria and age at diagnosis. However, the increase cannot be solely attributed to known factors and there may, in fact, be a true increase in incidence. It is important for etiologic reasons and for public health and educational planning to ascertain whether the rise in cases is genuine, if it is continuing, and to what degree. The CDC is monitoring the prevalence of autism over time in a number of U.S. sites using consistently applied ascertainment and diagnostic protocols [Croen et al., 2002a; Fombonne, 2003a].

The proportion of children with ASDs who had IQs less than or equal to 70 ranged from about 30–50 percent in the CDC’s Autism and Developmental Disabilities Monitoring Network. A higher proportion of females had cognitive impairment compared to males. The mean male to female ratio is 4:1 or greater for the milder forms, but as severity of cognitive impairment increases, the male to female ratio decreases to 1.3:1 [Yeargin-Allsopp et al., 2003]. The rate of PDD-NOS is approximately 1.5 times that of autistic disorder; the rate of Asperger’s disorder is one-fourth that of autistic disorder. Children with autistic disorder and a measurable IQ of less than 50 are more likely than those who are high-functioning to be female and to have minor physical anomalies, neuroimaging abnormalities, microcephaly, and epilepsy [Nicolson et al., 1999]. Those with specific, known inherited conditions, such as tuberous sclerosis or phenylketonuria, are likely to be more severely cognitively impaired [Rutter et al., 1994].

Risk Factors

Sibling Studies

The risk of ASDs in a sibling has been reported to be 3–8 percent when there is one affected child [Chakrabarti and Fombonne, 2001; Micali et al., 2004]. However, a recent report from Japan by Sumi et al. [2006] found gender differences in the risk for subsequent siblings: general sibling risk was 10 percent, 7.7 percent if the proband was male, and 20.0 percent if the proband was female. The risk is 25 percent if there are already two siblings with ASD [Folstein and Rosen-Sheidley, 2001].

Infant siblings of children with autism have garnered recent research attention as a high-risk group with the hope of identifying the earliest warning signs of ASD [Barbaro and Dissanayake, 2009; Brian et al., 2008; Cassel et al., 2007; Elder et al., 2008; Elsabbagh and Johnson, 2007; Elsabbagh et al., 2009a, b; Goldberg et al., 2005; Ibanez et al., 2008; Iverson and Wozniak, 2007; Landa and Garrett-Mayer, 2006; Landa et al., 2007; Loh et al., 2007; Merin et al., 2007; Mitchell et al., 2006; Sigman et al., 2004; Toth et al., 2007; Zwaigenbaum et al., 2005, 2007; see Rogers [2009] for a recent review]. Age at entry into the studies varies considerably, and one might anticipate that parents of those infants enrolled at later ages might have already recognized warning signs that prompted their participation in the study. This may contribute to the fact that the rate of an eventual diagnosis of ASD also varies highly across the studies, reported as 10 percent for infants enrolled by 5 months of age [Iverson and Wozniak, 2007], 14 percent for those enrolled between 12 and 23 months of age [Yoder et al., 2009], 23 percent for those enrolled between 6 and 12 months of age [Brian et al., 2008], and 62 percent for those enrolled by 18 months of age [Landa and Garrett-Mayer, 2006]. As a result, the true sibling recurrence rate cannot be currently ascertained through the available studies.

Developmental differences in infant siblings who are later diagnosed with an ASD (Sib-ASD) appear to emerge by around 12 months of age, with the developmental gap widening at a decreasing rate over the second year of life [Brian et al., 2008; Rogers, 2009; Stone et al., 2007; Yoder et al., 2009]; to date, studies have not reported significant differences at 6 months of age. Delays in fine and gross motor development have been noted by some [Landa and Garrett-Mayer, 2006] but not all studies [Iverson and Wozniak, 2007; Ozonoff et al., 2008; Toth et al., 2007]. Although stereotypic behaviors are “expected” in infants during the course of motor development [Thelen, 1979], specific atypical and repetitive behaviors (specifically spinning, rotating, rolling, and, most commonly, unusual visual regard of toys) occurred more frequently at 12 months of age [Ozonoff et al., 2008], and Loh et al. [2007] found that arm-waving at 12 and covering of the ears at 18 months of age occurred significantly more often in Sib-ASD.

Delays in verbal and nonverbal communication have been noted in Sib-ASD, beginning only at 12 months of age by almost every research group [Gamliel et al., 2007; Goldberg et al., 2005; Landa and Garrett-Mayer, 2006; Landa et al., 2007; Toth et al., 2007; Yirmiya et al., 2006; Yoder et al., 2009; Zwaigenbaum et al., 2005]. However, no consistent specific deficits have emerged to date across the studies as characteristic of Sib-ASD. Response to name has been explored by several researchers, as well [Brian et al., 2008; Nadig et al., 2007; Yirmiya et al., 2006; Zwaigenbaum et al., 2005], and Sib-ASD responded typically at 6 months, but not at 12 months of age.

Studies of response to joint attention in Sib-ASD have found fewer responses in the second year of life [Cassel et al., 2007; Presmanes et al., 2007; Sullivan et al., 2007], particularly in those situations requiring both head turn and verbal prompt [Presmanes et al., 2007]. Yoder et al. [2009] found that the response to joint attention at 12 months was predictive of degree of social impairment and eventual ASD diagnosis at 3 years of age. Zwaigenbaum et al. [2005] were able to differentiate Sib-ASD infants on imitation of body, oral, and object acts, which was not found in high-risk infants who did not develop ASD [Toth et al., 2007].

Neonatal Intensive Care and Prematurity

Matsuishi et al. [1999] first reported a significantly increased rate of ASD in children born between 1983 and 1987, with a mean gestational age of 35.4 ± 4.6 weeks, requiring neonatal intensive care, and who were followed up between 5 and 8 years of age using DSM-III-R criteria [APA, 1987]; a history of meconium aspiration was significantly more common in those children with ASD than in the comparison groups of children with cerebral palsy and those with typical development. Badawi et al. [2006] also have reported an increased rate of ASD at 5 percent in term neonatal intensive care unit (NICU) survivors of newborn encephalopathy, defined as either seizures alone or any two of the following lasting for longer than 24 hours: abnormal consciousness, difficulty maintaining respiration (of presumed central origin), difficulty feeding (of presumed central origin), and abnormal tone and reflexes [Badawi et al., 1998].

Several recent publications have documented a much higher rate of positive screening for ASD in infants with extreme prematurity using the Modified Checklist for Autism in Toddlers (M-CHAT) [Robins and Dumont-Mathieu, 2006; Robins et al., 2001] and other screening instruments. Limperopoulos et al. [2008] found a 25 percent rate of positive screening for ASD at 18–24 months of age in 91 infants who were less than 1500 g and 31 weeks’ gestation at birth. Kuban et al. [2009] noted a 22 percent rate of positive M-CHAT screens in 988 NICU survivors at 24 months of age who were less than 28 weeks’ gestation at birth and who were followed in the multicenter ELGAN study. Major motor, cognitive, visual, and hearing impairments appeared to account for more than half of the positive M-CHAT screens in this cohort. Even after the toddlers with those impairments were eliminated, 10 percent of children – nearly double the expected rate – screened positive.

In a large Swedish population-based study, Buchmayer et al. [2009] reported that the increased risk of autistic disorders related to preterm birth was mediated primarily by prenatal and neonatal complications that occur more commonly among preterm infants, predominantly pre-eclampsia, but also intracranial hemorrhage, cerebral edema, low Apgar scores, and seizures. Limperopoulos [2009] suggests that the incidence of ASD among survivors of preterm birth is inversely related to gestational age. If so, as survival rates continue to improve in extremely premature infants, the resulting morbidity of ASD may also continue to increase. As noted by Fombonne [2006], it is important that all practitioners have a heightened awareness of these risk factors to screen toddlers and preschoolers with suboptimal perinatal histories systematically.

Other Risk Factors

Risk of ASD is higher with increasing age of mothers, and independently, with increasing age of fathers [Durkin et al., 2008]. In a large population of children born between 1989 and 1994, mothers older than 35 years were three times more likely to have an autistic child than women younger than 20 years [Croen et al., 2002a]. One California study found that, when adjusted for age of the other parent and other covariates, risk of autism increases by up to 40 percent for each 10-year increase in maternal age and by 20–25 percent for each 10-year increase in paternal age [Grether et al., 2009a]. In another study also from California, maternal age was linearly correlated with risk but increased paternal age was a risk factor only in mothers over 30 years old [Shelton et al., 2010]. Some studies found that socioeconomic level does not affect risk [Bhasin and Schendel, 2007; Larsson et al., 2005], but in another study, women with a postgraduate education were twice as likely to have an autistic child as women with less than a high-school education [Croen et al., 2002b]. Risk was also increased in multiple births (RR = 1.7; 95 percent CI = 1.4–2.0) and in black children (RR = 1.6, 95 percent CI = 1.5–1.8) [Croen et al., 2002a].

Advanced parental age and some of the other risk factors for autism that have been suggested may act through increasing risk for de novo mutations. There may also be mutagens in the environment, such as mercury, cadmium, nickel, trichloroethylene, and vinyl chloride. Factors associated with vitamin D deficiency may cause mutations as vitamin D contributes to repair of DNA damage [Kinney et al., 2010]. The number of fetal ultrasounds does not seem to be associated with increased risk [Grether et al., 2009b], and perinatal risk factors associated with fetal distress (other than breech presentation) did not contribute significantly to risk [Bilder et al., 2009].

Pathophysiology and Etiology

Animal Models

No single animal model exists for autism, but several animal models that exhibit some of the major features of autism have provided an opportunity to understand the neural substrates of functional impairments. In the macaque monkey, social behavior is mediated by the amygdala, temporal cortex, orbitofrontal cortex, and superior temporal gyrus [Lord et al., 2000]. In another monkey model (rhesus), bilateral removal of the medial temporal lobes leads to abnormal social behavior during maturation that resolves in adults [Bachevalier, 1994; Machado and Bachevalier, 2003]. Symptoms include abnormal social interaction, absence of facial and body expression, and stereotypic behaviors. Social anxiety and fear have been studied in primates [Amaral, 2002] and in rats [Wolterink et al., 2001], and are related to amygdaloid circuitry.

A behavioral syndrome in Lewis rats with analogies to autism is the result of Borna disease virus infection in neonates [Pletnikov et al., 2003; Weissenbock et al., 2000]. Neonatal infection produces specific behavioral abnormalities, with disturbances in sensorineural development, lower startle responsiveness, and abnormal social play. Proprioceptive systems were abnormal that involved use of hind-limbs and balance. Pathologically, Borna disease virus induces regional neuronal loss in the cerebellum. This model provides some insights into mechanisms of pre- and perinatal infection causing damage to the developing brain, but it does not indicate that Borna disease virus is an etiologic agent in autism.

Other animal models have been developed by knocking out different candidate genes [Lijam et al., 1997], by oxytocin and vasopressin administration [Insel et al., 1999], and by exposing embryos to teratogens such as valproic acid [Ingram et al., 2000]. Behavioral studies have focused on social interaction and memory deficits. Because the neurexin 1-alpha gene has been linked to ASD phenotypes, a knockout mouse model has been developed with analogies to at least one core domain of ASD [Etherton et al., 2009].

Neuropathology

Abnormalities in major cortical and subcortical brain structures have been found through postmortem and magnetic resonance imaging (MRI) studies of autistic subjects. Comprehensive examination of nine autistic postmortem brains was carried out by Kemper and Bauman [1994]. They described three major findings: curtailment of normal development in forebrain neurons, which were smaller and more densely distributed than normal; an apparent congenital decrease in the number of Purkinje cells; and age-related changes in cell size and the number of neurons in the diagonal band of Broca, the cerebellar nuclei, and the inferior olive.

These neuropathologic findings may account for many clinical features of autism. Perinatally acquired lesions in limbic system structures could lead to disruption in memory processes involved in the ability to learn new information. In contrast, striatal and cortical areas involved in habitual memory were spared, potentially relating to the need for sameness, narrow interests, and capacity for rote memory. Disruption of cerebellar function may lead to a number of motor and sensory system deficiencies, including mental imagery, anticipatory planning, and timing and integration of sensory and motor information [Kemper and Bauman, 1998]. Support of brain-tissue banking is critical to continued research into the neuropathologic underpinnings of autism [Pickett, 2001].

Another approach to determining the neuropathologic underpinnings of autism has been suggested by Rodier [2002]. She found that children exposed to thalidomide in the first trimester developed autism at an increased rate, supporting the idea that the brain abnormality originates at the time of closure of the neural tube [Rodier et al., 1996]. This finding was corroborated by postmortem examination of a brain from a subject with autism not exposed to thalidomide, but whose mother was an alcoholic, showing near-complete absence of the facial nucleus and superior olive and narrowing of the brainstem between the trapezoid body and inferior olive. This deficit was reproduced in an HOXA1-knockout mouse model and by exposing rat embryos to valproic acid on the day of neural tube closure [Ingram et al., 2000]. The investigators concluded that central nervous system injuries occurring during or just after neural tube closure can lead to selective loss of neurons derived from the basal plate of the rhombencephalon, and this finding may indicate that the initiating injury in some individuals with autism takes place around the time of neural tube closure.

Additional supporting evidence for this theory comes from a Nova Scotia cohort of 61 autistic children [Rodier et al., 1997]. Forty-two percent of these children with autism had posterior rotation of the external ears, compared with 18 percent of controls. They postulated that this could have been associated with a disruption of otic disc formation in the fourth week of embryonic life and that ear anomalies found in some children with autism could possibly be a marker for initiating events in utero.

An important additional neuropathologic finding described by Casanova et al. [2008, 2002] is the finding of abnormalities in the structure of minicolumns in the brain of autistic individuals. Minicolumns consist of 80–100 neurons, and they are believed to be the smallest unit of functional organization in the cortex. In autistic individuals, the minicolumns were described as more numerous but smaller than those of controls and with less space in between. This structural difference may cause the firing of too many processing units at once and prohibit the units from coherently responding to signals. Over-arousal or under-arousal could easily result. This abnormality could also be responsible for the increased incidence of seizures in individuals with autism.

Neuroimaging

Both structural and functional imaging have contributed to the understanding of autism. Quantitative volume analysis using MRI has provided information that the outer layers of white matter are enlarged in autistic subjects compared with controls. Herbert et al. [2005, 2004] compared 13 subjects with high-functioning autism, 14 subjects with developmental language disorder, and 14 controls. The inner zones of white matter were not different in autistic subjects from those in controls, but the outer zone of white matter was larger than controls in autistic individuals and subjects with developmental language disorder. In the autistic group, frontal lobe enlargement was proportionally greater than other areas, but not in the developmental language disorder sample. These areas myelinate relatively late, beginning in the second half of the first year and continuing into the second year of life and later, which is consistent with the timing of increased head circumference seen in autistic subjects. By the time autistic children are 2–4 years old, 90 percent have above-average brain volume, and 37 percent have developmental macrocephaly, defined as brain volume exceeding 2 standard deviations above the normal mean for age [Courchesne et al., 2001

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