Abstract

Autism spectrum disorder is a neurodevelopmental condition defined by persistent differences in social communication and by restricted, repetitive patterns of behavior and interest, present from early development. Its interest for cognitive psychology lies not in the behavioral criteria themselves but in the competing cognitive accounts that attempt to explain them: a difficulty representing others' mental states, a bias toward local over global processing, and a disruption of the executive control that governs flexible action. Indexed in the Medical Subject Headings vocabulary under the pervasive developmental disorders, the diagnosis was reorganized into a single dimensional spectrum that absorbed several previously separate categories. This article sets out the diagnostic concept, the MeSH subtypes, the three cognitive theories, the neurodevelopmental basis, assessment, and early intervention. Three interactive demonstrations model the false-belief task, the local-global perception trade-off, and the dimensional spectrum.

Keywords: theory of mind, weak central coherence, executive function, social communication, neurodevelopment

Autism spectrum disorder is distinguished from ordinary variation in sociability and interest by the pervasiveness, early onset, and functional consequence of its features. The social-communication differences are not shyness but a qualitative difference in how social information is read and reciprocated, present across contexts and from the earliest years (Lord et al., 2018). The restricted and repetitive behaviors range from insistence on sameness and narrow, intense interests to repetitive movement and unusual sensory responses. The two feature domains co-occur reliably enough to define a single condition, and their expression varies so widely across ability and language that the modern diagnosis treats them as a spectrum rather than a category.

What makes autism a case for cognitive psychology rather than descriptive psychiatry alone is that its behavioral criteria invite mechanistic explanation. Three influential cognitive theories each capture part of the picture — a difficulty inferring mental states, a detail-focused perceptual style, and impaired executive control — yet none accounts for the whole syndrome, and their partial success is itself the central theoretical lesson (Frith & Happe, 1994). The disorder thus serves as a proving ground for the idea that a psychiatric category can be decomposed into dissociable cognitive components.

Key Takeaways

  • Autism spectrum disorder is defined by two feature domains — persistent social-communication differences and restricted, repetitive behaviors and interests — present from early development.
  • The diagnosis was reorganized into a single dimensional spectrum, absorbing the previously separate categories of autistic disorder, Asperger syndrome, and pervasive developmental disorder not otherwise specified.
  • Three cognitive theories each explain part of the syndrome: theory-of-mind difficulty, weak central coherence, and executive dysfunction; none explains all of it.
  • Twin studies place its heritability among the highest of any neurodevelopmental condition, and its genetic architecture is highly heterogeneous.
  • The ADOS and ADI-R are the standardized diagnostic instruments, and early behavioral intervention has the strongest evidence base for improving developmental outcomes.

What Autism Spectrum Disorder Is

Autism spectrum disorder is a neurodevelopmental condition characterized by two co-occurring feature domains. The first is persistent difficulty in social communication and social interaction: differences in social-emotional reciprocity, in the nonverbal communicative behaviors that accompany speech, and in developing and sustaining relationships. The second is restricted, repetitive patterns of behavior, interests, or activities: stereotyped movement or speech, insistence on sameness and inflexible routines, highly circumscribed and intense interests, and hyper- or hypo-reactivity to sensory input. Features must be present in early development and cause meaningful functional impairment, though they may be masked by learned strategies until social demands exceed capacity (Lord et al., 2018).

The first clinical description was given by Leo Kanner in 1943, who identified a small group of children marked by an 'autistic aloneness' and an anxious insistence on sameness. For decades the diagnosis was narrow and categorical. Contemporary epidemiology, using standardized case definitions, now identifies autism in roughly one in thirty-six children in monitored United States populations, a figure that reflects broadened criteria, greater awareness, and improved ascertainment as much as any change in underlying incidence (Maenner et al., 2023). The condition is substantially more often diagnosed in boys than girls, though the true ratio is debated because girls may present differently and be missed. The Medical Subject Headings vocabulary indexes the condition among the pervasive developmental disorders, the broader class that also contained the historical subtypes now folded into the spectrum (Lai et al., 2014).

Figure 1

The Two Feature Domains of Autism Spectrum Disorder

The two feature domains of autism spectrum disorder Two overlapping panels. The left panel lists social-communication differences; the right panel lists restricted and repetitive behaviors. Their overlap in the center, labelled early developmental onset, marks where both domains must co-occur for a diagnosis. Social communication Restricted & repetitive Social-emotional reciprocity Nonverbal communication Developing relationships Stereotyped movement Insistence on sameness Circumscribed interests Sensory reactivity Both domains, early onset Diagnosis requires features in both domains, present from early development
Note. Schematic illustration. A diagnosis requires features in both the social-communication and restricted-repetitive domains, present from early development. Original figure.

Types of Autism Spectrum Disorder

MeSH indexes autism spectrum disorder under the broader heading of pervasive child development disorders, and within its tree the descriptor subsumes two narrower kinds. These reflect the diagnostic history rather than a mechanistic partition: both were separate diagnoses in earlier classifications and were absorbed into the single spectrum when the categorical scheme was replaced by a dimensional one. The two are distinguished chiefly by language and cognitive ability rather than by a difference in kind — Asperger syndrome named presentations without early language delay or intellectual disability, while autistic disorder named the fuller, more classically impairing presentation. As always, the MeSH tree is an indexing classification built for retrieval, not a current clinical taxonomy, and the categories should be read in that spirit: modern practice describes a single spectrum with specifiers for language and intellectual level rather than these discrete labels.

Table 1. Narrower descriptors of autism spectrum disorder in the MeSH tree.
Subtype Defining feature
Asperger syndrome A historical diagnosis for autistic social and behavioral features without clinically significant delay in language or general cognitive development; now subsumed within the spectrum.
Autistic disorder The classic, fuller presentation with onset before age three, frequently accompanied by language delay and intellectual disability; the prototype from which the spectrum concept generalized.

Note. The two narrower descriptors are historical categories the current spectrum diagnosis absorbed; they mark points along a continuum of language and ability rather than exclusive types.

Theory of Mind

The most influential cognitive account of autism holds that its social difficulties stem from an impairment in theory of mind — the capacity to attribute mental states such as beliefs, desires, and intentions to oneself and others, and to use those attributions to predict and explain behavior. The seminal test was a false-belief task. In the classic study, children watched a scenario in which a doll, Sally, places a marble in a basket and leaves; a second doll, Anne, moves the marble to a box; the child is then asked where Sally will look for her marble. Passing requires representing that Sally holds a belief the child knows to be false. Typically developing four-year-olds and children with Down syndrome passed, but most autistic children of comparable mental age failed, answering with the marble's true location rather than Sally's belief (Baron-Cohen et al., 1985).

The result was striking because it isolated a specific cognitive deficit that cut across general intelligence: the autistic children were not globally impaired but failed selectively on the task requiring mental-state attribution. The finding launched a research program treating 'mindblindness' as the core of the social phenotype. Its limits, however, became apparent quickly. A substantial minority of autistic people pass first-order false-belief tasks yet still show social difficulty in daily life, and the theory says little about the second feature domain — the restricted and repetitive behaviors — which have no obvious connection to mental-state reasoning. Theory of mind explains part of the social impairment convincingly but is not, on its own, a theory of autism (Frith & Happe, 1994).

The false-belief task

Step through the classic Sally–Anne scenario, then, at the last step, choose where Sally will look. Passing means tracking Sally's belief, which was formed before the marble moved — not the marble's true location.

basketboxSally

Step 1 of 4. Sally puts her marble in the basket.

Interactive re-creation of the false-belief paradigm (structure after Baron-Cohen, Leslie & Frith, 1985). The scene is drawn entirely in code and computed locally, not stored. The task is a probe of mental-state reasoning, not a diagnostic test.

Weak Central Coherence

Where theory of mind addresses the social deficit, the weak central coherence account addresses a different and often overlooked feature: the characteristic cognitive style. Typical cognition shows a strong drive to integrate information into context and gist — to see the forest rather than the trees — sometimes at the cost of detail. The proposal is that autistic cognition is biased the other way, toward local rather than global processing, yielding superior attention to detail and a relative failure to extract global meaning (Happe & Frith, 2006).

The account elegantly reframes several observations at once. It explains islets of ability — superior performance on the embedded-figures task, block-design subtests, and detection of small changes — not as isolated savant skills but as the upside of a detail-focused style. It connects to the restricted interests and insistence on sameness, which the mentalizing account cannot reach. Crucially, the reformulated version treats weak coherence as a cognitive style or bias rather than a deficit — a difference in the balance between local and global processing that can be overridden under explicit instruction, not an inability to see the whole. A related framework, enhanced perceptual functioning, makes the positive case more strongly still, holding that perception is genuinely enhanced and plays a more autonomous role in autistic cognition (Mottron et al., 2006). Together these accounts shift the picture from pure deficit toward a distinct and in some respects advantageous processing profile.

Local and global processing (Navon figures)

The large letter is built from small letters. Move the bias from global toward local, and toggle whether the small letter matches the large one. Typical cognition shows global precedence — the big letter is seen first, and an incongruent small letter interferes; a detail-focused bias reverses this.

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TTTTTTTTTTTTTTTTT

Reader reports the global letter first: H. Modeled global-precedence interference from the small letter: 63 ms.

Illustrative model of local/global precedence (stimulus structure after Navon, 1977; weak-central-coherence framing after Happe & Frith, 2006). Interference values are schematic, not measured, and computed locally, not stored.

Executive Function

The third principal account locates the difficulty in executive function — the higher-order control processes of planning, working memory, cognitive flexibility, and inhibition that govern goal-directed behavior. High-functioning autistic individuals show reliable impairments on executive tasks, and the deficit maps naturally onto the second feature domain: the repetitive behaviors, insistence on sameness, and difficulty shifting set look like failures of the flexible, forward-planning control that executive function provides (Ozonoff et al., 1991).

The executive account thus complements the other two by targeting the feature they explain least well. Its own limits are equally instructive. Executive dysfunction is not specific to autism — it appears in attention-deficit/hyperactivity disorder, obsessive-compulsive disorder, and after frontal injury — so it cannot be the defining cause. And executive tasks are notoriously impure, drawing on many component processes, which complicates any claim that a single deficit underlies the profile. The three theories together illustrate a general strategy in cognitive psychopathology: decompose a clinical syndrome into dissociable cognitive components, accept that each explains a fragment, and treat the residual — the part no component captures — as the frontier. No current single-deficit model explains autism in full, and the field has largely moved to multiple-component and developmental accounts (Lai et al., 2014).

Neurobiology and Development

Autism is among the most heritable of neurodevelopmental conditions. A meta-analysis of twin studies estimated heritability in the range of roughly 64 to 91 percent, with the balance of evidence favoring a predominantly genetic liability and a modest shared-environmental contribution (Tick et al., 2016). The genetic architecture is strikingly heterogeneous: rare de novo mutations of large effect, inherited common variants of small effect, and copy-number variation all contribute, and hundreds of genes have been implicated, converging on synaptic development, chromatin regulation, and transcriptional control rather than on any single pathway (Geschwind, 2011). This heterogeneity — many genetic routes to a common behavioral endpoint — is why autism is understood as a final common pathway rather than a unitary disease.

At the neural level, the condition is developmental rather than static. Early brain overgrowth in the first years of life, atypical connectivity within and between networks, and altered development of the social-brain circuitry have all been reported, though no single neurobiological marker is diagnostic. The prevailing view frames autism as a disorder of neural development and connectivity whose behavioral signature emerges as the social and communicative demands on an atypically wired system increase across early childhood (Lord et al., 2018). This developmental framing matters for intervention: the plasticity of the early years is the window in which experience most shapes the trajectory.

Measurement and Assessment

Because autism is defined behaviorally and varies so widely, standardized assessment is essential to reliable diagnosis. Two instruments, used together, are the field's reference standard. The Autism Diagnostic Observation Schedule (ADOS) is a semi-structured, standardized assessment of communication, social interaction, and play, in which an examiner presents a series of 'presses' — structured opportunities designed to elicit behaviors relevant to diagnosis — and codes the person's responses against operational criteria (Lord et al., 2000). The Autism Diagnostic Interview-Revised (ADI-R) complements it with a structured caregiver interview covering developmental history and current behavior. Combining a direct standardized observation with a developmental history from a caregiver is what gives the pairing its reliability: the two sources of evidence are independent, and agreement between them strengthens the diagnosis.

The instruments embody a general measurement principle. A well-constructed diagnostic tool converts a clinician's impression into a scored, criterion-referenced observation that another trained clinician would replicate, which is what allows prevalence figures such as the one-in-thirty-six estimate to be compared across sites and years (Maenner et al., 2023). Without such standardization, apparent changes in rate could not be distinguished from drift in clinical judgment.

The dimensional spectrum

Autism is diagnosed on two independent dimensions, each rated for the support it requires. Move the two sliders: the overall support level is the higher of the two, so two profiles at the same level can sit far apart on the plane.

55
30
social–communication →restricted / repetitive →

Social–communication: Level 2 — requiring substantial support. Restricted/repetitive: Level 1 — requiring support. Overall: Level 2 — requiring substantial support.

Schematic of the two-dimensional DSM-5 severity scheme (framing after Lord et al., 2018). The cut-points are illustrative, not official thresholds; clinical severity ratings are made by trained clinicians, not by a scale like this. Computed locally, not stored.

Worked Example

Consider the logic of the false-belief task, which turns on a specific inference the child must draw. There are two locations, a basket and a box, and two relevant states of the world: where the marble actually is, and where a character believes it is. The task is constructed so that these come apart.

Sally places the marble in the basket and leaves the room. While she is gone, Anne moves it to the box. The marble is now, in fact, in the box. The critical question — where will Sally look for her marble? — asks not about the marble's real location but about Sally's belief, which was formed before the marble moved and has not been updated.

A correct answer requires holding two representations at once and reporting from the second:

actual location = box;   Sally's belief = basket;   answer = basket

The typically developing child answers 'basket,' tracking Sally's outdated belief. The child who fails answers 'box,' reporting the true state of the world as though it were also the content of Sally's mind. The error is diagnostic in a precise sense: it is not a failure of memory — most failing children correctly recall that Sally was absent when the marble moved — but a failure to represent that another person can hold a belief the child knows to be false (Baron-Cohen et al., 1985). The single subtraction that separates passing from failing — reporting the belief rather than the fact — is what made the task such a clean probe of mental-state reasoning.

Discussion

The most consequential shift in how autism is understood is the move from a single categorical diagnosis to a dimensional spectrum. For decades the field maintained separate labels — autistic disorder, Asperger syndrome, pervasive developmental disorder not otherwise specified — on the assumption that they marked distinct conditions. The evidence did not support stable boundaries between them: the distinctions predicted little about outcome or treatment response and were applied inconsistently across clinicians. Collapsing them into one spectrum with severity and language specifiers acknowledged that the presentations differ in degree along shared dimensions rather than in kind (Lord et al., 2018).

The cognitive theories tell a parallel story. Each of the three — theory of mind, weak central coherence, executive function — was proposed as the core deficit, and each turned out to explain a fragment: mentalizing the social impairment, weak coherence the detail-focused style and repetitive interests, executive dysfunction the inflexibility. That no single deficit accounts for the whole is not a failure of the program but its central finding. It implies that autism is not one thing at the cognitive level any more than it is at the genetic level, and it motivated the current generation of multiple-component and developmental models that treat the syndrome as the convergence of several partially independent differences (Frith & Happe, 1994; Geschwind, 2011).

Cognitive Implications

Autism earns its place in cognitive psychology because it has served, more than almost any other clinical category, as a testbed for the decomposition of a behavioral syndrome into cognitive parts. The false-belief result showed that a specific social capacity — mental-state attribution — could be selectively impaired while general intelligence was spared, which is exactly the dissociation a modular account of cognition predicts ought to be possible (Baron-Cohen et al., 1985). The weak-coherence account showed that the same profile could be reframed from deficit to style, so that the detail focus underlying certain difficulties is also the source of genuine perceptual strengths (Happe & Frith, 2006).

The broader lesson is methodological. A psychiatric label names a cluster of co-occurring behaviors; cognitive psychology asks what information-processing differences generate that cluster, and the autism literature shows both the power and the limits of the answer. The power is that dissociable components — mentalizing, perceptual integration, executive control — can be identified and studied separately. The limit is that reassembling them into a single account of the whole condition has proved elusive, which is why the modern view holds several partial theories at once rather than choosing among them. For cognitive science, autism is the clearest demonstration that a clinical category can be at once real, heritable, and cognitively multiple.

Current Directions

Contemporary research is pursuing several fronts at once. The first is early identification and intervention: because autism is a disorder of development, intervening during the plastic early years offers the greatest leverage, and a randomized controlled trial of the Early Start Denver Model — a naturalistic developmental behavioral intervention for toddlers — demonstrated gains in cognitive and adaptive functioning relative to community treatment, establishing that early intensive intervention can alter the developmental trajectory (Dawson et al., 2010). The second is the effort to connect the heterogeneous genetics to the cognitive phenotype through the intermediate level of neural circuits, seeking to understand how many genetic routes converge on a common behavioral endpoint (Geschwind, 2011). The third is a reconception of the condition led in part by autistic researchers and the neurodiversity framework, which reframes some features as differences with real costs and real strengths rather than as pure pathology, and asks which supports improve quality of life on autistic people's own terms (Lai et al., 2014). Across all three, the through-line is the reframing this article has traced: autism as a developmental, heritable, and cognitively multiple condition better described by a spectrum of partially independent differences than by any single deficit.

Common Misconceptions

Autism is caused by vaccines.
There is no such link; the study that alleged one was retracted for fraud, and autism is among the most heritable of neurodevelopmental conditions, with twin-study heritability estimated between roughly 64 and 91 percent (Tick et al., 2016). Its features emerge from atypical neural development that begins before birth.
Every autistic person has the same difficulties.
Autism is a spectrum precisely because presentations vary enormously in language, intellectual ability, and support needs; the diagnosis absorbed several previously separate categories into a single dimensional concept (Lord et al., 2018). Two people with the same diagnosis may differ profoundly.
Autistic people lack empathy or cannot understand others.
The theory-of-mind account concerns a specific difficulty in spontaneously inferring mental states, not an absence of emotional concern, and many autistic people pass false-belief tasks yet still find real-time social interaction demanding (Baron-Cohen et al., 1985). Cognitive and emotional empathy are dissociable.

Glossary

Asperger syndrome.
A historical diagnosis for autistic features without early language delay or intellectual disability, now subsumed within the single spectrum.
Autism Diagnostic Interview-Revised.
A structured caregiver interview covering developmental history and current behavior, used alongside the ADOS as a reference-standard diagnostic instrument.
Autism Diagnostic Observation Schedule.
A semi-structured, standardized observation in which an examiner elicits and codes communication, social interaction, and play behaviors relevant to diagnosis.
Autistic disorder.
The classic, fuller presentation with early onset, frequently with language delay and intellectual disability; the prototype from which the spectrum concept generalized.
Central coherence.
The typical drive to integrate information into context and global meaning; proposed to be relatively weak in autism, yielding a detail-focused processing style.
Enhanced perceptual functioning.
The account that autistic perception is genuinely superior in some domains and plays a more autonomous role in cognition, making the positive case that weak coherence frames as a bias.
Executive function.
The higher-order control processes of planning, working memory, flexibility, and inhibition, impairment of which maps onto the repetitive and inflexible features of autism.
False-belief task.
A test of theory of mind requiring the child to predict a character's action from a belief the child knows to be false, such as the Sally-Anne scenario.
Neurodiversity.
The framing of conditions such as autism as natural variations in cognition with both costs and strengths, rather than solely as pathology to be eliminated.
Pervasive developmental disorders.
The broader MeSH class under which autism is indexed, historically containing the separate subtypes now folded into the spectrum.
Restricted and repetitive behaviors.
One of the two defining feature domains: stereotyped movement or speech, insistence on sameness, circumscribed interests, and atypical sensory reactivity.
Social communication.
The domain of social-emotional reciprocity, nonverbal communication, and relationships whose persistent difference is the other defining feature domain.
Spectrum.
The dimensional conception of autism as varying continuously in severity, language, and ability rather than sorting into discrete categorical diagnoses.
Theory of mind.
The capacity to attribute mental states such as beliefs and desires to oneself and others; its impairment is the core of the mentalizing account of autism's social difficulty.

Key Researchers

Simon Baron-Cohen

(living). Professor of developmental psychopathology at the University of Cambridge and director of its Autism Research Centre; co-author of the 1985 false-belief study and originator of the mindblindness account of autism. ORCID - Wikipedia

Uta Frith

(living). Emeritus professor of cognitive development at University College London; a founder of the cognitive study of autism who advanced both the theory-of-mind and weak-central-coherence accounts. Wikipedia - Faculty Page

Francesca Happe

(living). Professor of cognitive neuroscience at King's College London; developed the weak-central-coherence account and has led work on autistic cognition and its heritability. ORCID - Wikipedia

Leo Kanner

(1894–1981). Was an Austrian-American psychiatrist at Johns Hopkins who published the first clinical description of early infantile autism in 1943, defining the syndrome for the field. Wikipedia - Wikidata

Catherine Lord

(living). Distinguished professor of psychiatry and education at the University of California, Los Angeles; co-developer of the ADOS and ADI-R gold-standard diagnostic instruments. Wikipedia

Michael Rutter

(1933–2021). Was the founding figure of child psychiatry as a research discipline; established the genetic basis of autism through twin studies and co-developed the ADI-R. Wikipedia - Wikidata

Frequently Asked Questions

What is autism spectrum disorder?

It is a neurodevelopmental condition defined by two co-occurring feature domains: persistent differences in social communication, and restricted, repetitive patterns of behavior and interest. Both are present from early development and cause functional impairment (Lord et al., 2018). It is called a spectrum because presentations vary widely in language, ability, and support needs.

Why is it called a spectrum?

The diagnosis was reorganized to absorb several previously separate categories (autistic disorder, Asperger syndrome, and pervasive developmental disorder not otherwise specified) into one dimensional concept, because the evidence did not support stable boundaries between them (Lord et al., 2018). The presentations differ in degree along shared dimensions rather than in kind.

What is theory of mind and how does it relate to autism?

Theory of mind is the capacity to attribute mental states such as beliefs and desires to others; the influential account holds that a difficulty in mental-state attribution underlies autism's social features, demonstrated by selective failure on false-belief tasks (Baron-Cohen et al., 1985). It explains part of the social difficulty but not the repetitive behaviors.

Is autism inherited?

It is among the most heritable neurodevelopmental conditions, with twin-study heritability estimated between roughly 64 and 91 percent, though the genetic architecture is highly heterogeneous, involving many genes of small effect and rare mutations of large effect (Tick et al., 2016; Geschwind, 2011). No single gene determines it.

Do vaccines cause autism?

No; there is no credible evidence of any link, and the condition arises from atypical neural development that begins before birth, as the heritability evidence shows (Tick et al., 2016). The claim originated in a study later retracted for fraud.

How is autism diagnosed?

Diagnosis relies on standardized instruments, combined with clinical judgment: the Autism Diagnostic Observation Schedule, a direct standardized observation, and the Autism Diagnostic Interview-Revised, a structured caregiver interview (Lord et al., 2000). Combining direct observation with developmental history is what gives the assessment its reliability.

Are there cognitive strengths associated with autism?

Yes; the weak-central-coherence and enhanced-perceptual-functioning accounts describe a detail-focused processing style that yields superior performance on tasks such as finding embedded figures and detecting small changes (Happe & Frith, 2006; Mottron et al., 2006). The same style that underlies certain difficulties is a genuine source of perceptual strength.

Can early intervention help?

Yes; because autism is a disorder of development, early intensive behavioral intervention has the strongest evidence base, and a randomized trial of the Early Start Denver Model showed gains in cognitive and adaptive functioning in toddlers (Dawson et al., 2010). The plasticity of the early years is the window in which experience most shapes the trajectory.

Support Organizations

Organizations that provide information, services, and advocacy for autistic people and their families.

Autistic Self Advocacy Network — a nonprofit run by and for autistic people, providing advocacy, resources, and public policy work. (United States)

National Autistic Society — a national charity offering information, support, and services for autistic people and their families. (United Kingdom)

National Institute of Mental Health — authoritative public-health information on signs, diagnosis, and treatment. (United States)

References

Baron-Cohen, S., Leslie, A. M., & Frith, U. (1985). Does the autistic child have a "theory of mind"? Cognition, 21(1), 37-46. https://doi.org/10.1016/0010-0277(85)90022-8

Dawson, G., Rogers, S., Munson, J., Smith, M., Winter, J., Greenson, J., Donaldson, A., & Varley, J. (2010). Randomized, controlled trial of an intervention for toddlers with autism: The Early Start Denver Model. Pediatrics, 125(1), e17-e23. https://doi.org/10.1542/peds.2009-0958

Frith, U., & Happe, F. (1994). Autism: Beyond "theory of mind". Cognition, 50(1-3), 115-132. https://doi.org/10.1016/0010-0277(94)90024-8

Geschwind, D. H. (2011). Genetics of autism spectrum disorders. Trends in Cognitive Sciences, 15(9), 409-416. https://doi.org/10.1016/j.tics.2011.07.003

Happe, F., & Frith, U. (2006). The weak coherence account: Detail-focused cognitive style in autism spectrum disorders. Journal of Autism and Developmental Disorders, 36(1), 5-25. https://doi.org/10.1007/s10803-005-0039-0

Lai, M. C., Lombardo, M. V., & Baron-Cohen, S. (2014). Autism. The Lancet, 383(9920), 896-910. https://doi.org/10.1016/S0140-6736(13)61539-1

Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., Pickles, A., & Rutter, M. (2000). The Autism Diagnostic Observation Schedule-Generic: A standard measure of social and communication deficits associated with the spectrum of autism. Journal of Autism and Developmental Disorders, 30(3), 205-223. https://doi.org/10.1023/A:1005592401947

Lord, C., Elsabbagh, M., Baird, G., & Veenstra-Vanderweele, J. (2018). Autism spectrum disorder. The Lancet, 392(10146), 508-520. https://doi.org/10.1016/S0140-6736(18)31129-2

Maenner, M. J., Warren, Z., Williams, A. R., Amoakohene, E., Bakian, A. V., Bilder, D. A., Durkin, M. S., Fitzgerald, R. T., Furnier, S. M., Hughes, M. M., Ladd-Acosta, C. M., McArthur, D., Pas, E. T., Salinas, A., Vehorn, A., Williams, S., Esler, A., Grzybowski, A., Hall-Lande, J., ... Shaw, K. A. (2023). Prevalence and characteristics of autism spectrum disorder among children aged 8 years - Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2020. MMWR Surveillance Summaries, 72(2), 1-14. https://doi.org/10.15585/mmwr.ss7202a1

Mottron, L., Dawson, M., Soulieres, I., Hubert, B., & Burack, J. (2006). Enhanced perceptual functioning in autism: An update, and eight principles of autistic perception. Journal of Autism and Developmental Disorders, 36(1), 27-43. https://doi.org/10.1007/s10803-005-0040-7

Ozonoff, S., Pennington, B. F., & Rogers, S. J. (1991). Executive function deficits in high-functioning autistic individuals: Relationship to theory of mind. Journal of Child Psychology and Psychiatry, 32(7), 1081-1105. https://doi.org/10.1111/j.1469-7610.1991.tb00351.x

Tick, B., Bolton, P., Happe, F., Rutter, M., & Rijsdijk, F. (2016). Heritability of autism spectrum disorders: A meta-analysis of twin studies. Journal of Child Psychology and Psychiatry, 57(5), 585-595. https://doi.org/10.1111/jcpp.12499