by Leong Tung Ong, MBBS, and Si Wei David Fan, MBBS 

Both authors are with Faculty of Medicine, University of Malaya in Kuala Lumpur, Malaysia.

Funding: No funding was provided for this article.

Disclosures: The authors have no conflicts of interest relevant to the contents of this article.

Innov Clin Neurosci. 2023;20(10–12):40–47.


Abstract

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized by early-onset impairments in socialization, communication, repetitive behaviors, and restricted interests. ASD exhibits considerable heterogeneity, with clinical presentations varying across individuals and age groups. The pathophysiology of ASD is hypothesized to be due to abnormal brain development influenced by a combination of genetic and environmental factors. One of the most consistent morphological parameters for assessing the abnormal brain structures in patients with ASD is cortical thickness. Studies have shown changes in the cortical thickness within the frontal, temporal, parietal, and occipital lobes of individuals with ASD. These changes in cortical thickness often correspond to specific clinical features observed in individuals with ASD. Furthermore, the aberrant brain anatomical features and cortical thickness alterations may lead to abnormal brain connectivity and synaptic structure. Additionally, ASD is associated with cortical hyperplasia in early childhood, followed by a cortical plateau and subsequent decline in later stages of development. However, research in this area has yielded contradictory findings regarding the cortical thickness across various brain regions in ASD.

Keywords: Autism spectrum disorder, cerebral cortex, neurodevelopmental disorder


Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized by a diverse array of phenotypic expressions and clinical presentation.1 ASD is characterized by early-onset impairments in socialization, communication, repetitive behaviors, and restricted range of interests.2 ASD has a complex pathophysiology, and the neurological basis of the clinical presentation, which primarily manifests as social and function impairments, has not been completely elucidated.3 Abnormal brain development, resulting from a complex interplay of genetic and environmental factors, is at the root of ASD etiology, typically manifesting during the formative years.4 Furthermore, abnormal brain connectivity and synaptic structure contribute to atypical brain development and maturation in ASD.5

Clinical presentation of ASD exhibits a high heterogeneity in terms of symptom severity and clinical manifestations across diverse age groups.6 This wide range of clinical manifestations encompasses individuals capable of living independently to those with severe impairments in social communications, high levels of disability in daily activities, and/or self-injurious or aggressive behavior.7 This substantial clinical diversity underscores the inherent variability in neuroanatomy and genetics within the ASD population.8

Furthermore, ASD arises from penetrant mutations and chromosomal instability, which lead to hundreds of different genetic variants that complicate efforts to determine a single genetic etiology.9 Similarly, Zabihi et al10 reported that the spatial distribution of abnormal brain development has a high heterogeneity, even with the similar pathophysiology. This complexity in neuroanatomy and genetics further complicates the attribution of specific etiological factors of the brain structures and the prognosis of clinical outcomes.11

In terms of morphological assessment, cortical thickness is the most consistent parameter in assessing abnormal brain anatomy in patients with ASD.11 Nonetheless, studies present conflicting outcomes regarding the cortical thickness in patients with ASD, with some indicating increased measurements and others suggesting decreased measurements.12 Doyle-Thomas et al13 established correlations between cortical thickness of the regions implicated in social and communication functions and scores on the Autism Diagnostic Interview-Revised (ADI-R). Furthermore, previous studies also reported that changes in cortical thickness in specific brain regions are correlated with specific clinical features.12 A longitudinal study by Wallace et al14 also reported that increases in cortical thinning in the temporal lobe cortex were correlated with impairment in social communications. Despite the divergent neuroanatomical findings across studies, ASD most prominently manifests its aberrant developmental trajectory in the frontotemporal and frontoparietal brain regions.11 The atypical cortical developmental trajectory likely underlies structural and functional anomalies in the brain’s connectivity network, contributing to abnormal neuronal processing.15

Patients with ASD have shown early hyperplasia of the cortical development during the early years of life, followed by cortical plateau and decline in successive stages.12 A study by Lainhart et al16 suggested that 15 to 20 percent of children with ASD exhibit macrocephaly between ages 3 to 5 years, with head circumference plateauing thereafter.16 Furthermore, children with ASD between the ages of 2 to 4 years reportedly manifested increased white matter and gray matter volume, especially in the temporal and frontal lobes.17,18 Although brain growth in children with ASD reaches a plateau around the age of two years, growth rates demonstrate a declining trend, compared to neurotypical children.19 By mid-childhood (ages 5–10 years), the average brain volume in children with ASD aligns with that of neurotypical children.19

A detailed analysis of the brain structure changes that includes developmental trajectories and spatial locations might aid in the understanding of the relationship between the behavioral and biological profiles of ASD.20 Therefore, this review aims to provide insight on the neurobiology of ASD by focusing on the neuroanatomical and functional changes of different cerebral structures in patients with ASD.

Frontal Lobe

Changes in the thickness of the frontal lobe in ASD are correlated with the severity of social impairments and repetitive behaviors.12 Furthermore, abnormalities in the development and maturation of the frontal lobe in ASD are also associated with social impairments.21 Dysregulation of the cortical folding is observed in the right middle frontal (dorsolateral prefrontal cortex) and right lateral orbitofrontal regions.22 The former is involved in the top-down executive control through the frontoparietal network, while the latter regulates emotion through the affective processing intrinsic network.23,24 Dysfunction in the cortical gyrification of these regions may affect the self-regulation of emotion.25,26 Genetic and environmental influences contribute to the distinctive patterns of cortical folding development in children with ASD.27 Therefore, the self-regulation ability may be developed through the cortical gyrification in the right, middle, frontal gyrus and right, lateral, orbitofrontal cortex and also nurtured through daily interactions and encounters.22 In addition to dysfunction of cortical folding, ASD also has less pronounced adaptive changes, which lead to self-regulation impairment.22

Structural variations in the orbitofrontal cortex have been demonstrated in ASD.3 The orbitofrontal cortex governs self-regulation, theory of mind, social cognition (including arousal and affective empathy), the social-rewarding process, and social-emotional behaviors.13,28 Dysfunction in this region affects the limbic system and sensory association, resulting in social deficits and stereotyped behaviors.29 Changes in the balance between excitatory and inhibitory neurons in the orbitofrontal regions have been identified through postmortem brain tissue examination, leading to the altered connectivity between the amygdala and other cortical structures, potentially underpinning distinctive emotions and social traits in children with ASD.30 Abnormal functional connectivity between the orbitofrontal cortex and amygdala, identified through functional imaging, may impair sensory stimulus response regulation, leading to sensory hypersensitivity in ASD.31 In addition, excessive aggressive behavior in ASD might be attributed to dysfunction in the fronto-limbic-striatal circuits comprising the prefrontal cortex, amygdala, and hypothalamus.32

The left medial orbitofrontal area, located in the frontal and cingulate regions, is integral to the ventral social affective processing system, correlating with social affect scores from the Autism Diagnostic Observation Schedule (ADOS) and ADI-R.33 Neuroimaging has consistently shown that the ventromedial frontal cortex and ventral striatum activate more in response to negative feedback, necessitating behavioral change.34 These brain regions are essential in the processing feedback and adjusting behavior accordingly.34 In addition, ASD demonstrated significant thinning in the mirror neuron system, encompassing the pars opercularis of the inferior frontal gyrus and the adjacent ventral area, which are essential in social recognition.35 This system facilitates understanding of the actions of others and experiences by generating shared internal action representations, which is crucial for social-communicative function.35 Functional brain imaging studies have shown dysfunction of mirror neuron systems correlates with impairment emotional engagement, empathy, and social interactions in ASD.36–38

Zoltowski et al20 reported that decreased sulcal depth along the precentral and postcentral gyrus in ASD are associated with more severe autism-related behaviors.20 Furthermore, structural indices in the primary motor cortex along the precentral gyrus notably differ between individuals with ASD and neurotypical individuals.20 Structural differences in these regions lead to impairment between motor and tactile processing, affecting the differentiation of tactile information from different bodily locations and different movements types.20 Furthermore, changes in the motor cortex also lead to impaired and delayed motor development, resulting in alteration in acquisition of motor skills and communicative movements.39,40 Braden et al41 demonstrated hypoconnectivity of the frontoparietal network in ASD, contributing to executive function and social-communication difficulties. Reduced intrinsic functional connectivity in the right frontoparietal network is linked to severe repetitive behavior in ASD.42 Decreased prefrontal-striatal connectivity in ASD may disrupt the habitual and goal-directed action control, leading to motor stereotypies.43 However, other studies suggest increased intrinsic functional connectivity in the frontotemporal nodes correlates with more severe restricted and repetitive behaviors and higher ADOS-Restricted and Repetitive Behaviors (RBB) scores.44,45

Impairments in other specific frontal lobe structures, such as the left pars triangularis and Rolandic operculum, may contribute to communication difficulties in ASD.46 The left pars triangularis, which is bound superiorly by the inferior frontal sulcus, plays a critical role in expressive language production.46 Dysfunction in this region contributes to language impairments in individuals with ASD.19,47,48 Meanwhile, the left Rolandic operculum, which is located within the precentral and postcentral gyri, is pivotal for prosody production and perception.46 Individuals with ASD exhibit abnormal levels of activation of left Rolandic operculum, which may be implicated in the prosody impairments in ASD, such as diminished tone and rhythm variation in speech.49,50 Furthermore, variations in morphology, gray matter thickness, and white matter connectivity of the inferior frontal gyrus, crucial for expressive language, in ASD correlate with autism-related behaviors.12 Thinning of the inferior frontal gyrus is associated with increased autism-related behaviors.20 The rostral middle frontal gyrus, part of the dorsolateral prefrontal cortex, also contributes to language function.51 Its potential lesion might explain the tendency of individuals with ASD to employ simple sentences during conversations.51

Temporal Lobe

Several studies have elucidated temporal lobe thickness and the volume alterations from childhood to adulthood.19,41,52 A longitudinal study demonstrated a slower growth rate of white matter in the temporal lobe among individuals with ASD, compared to controls.53 Interestingly, Libero et al52 reported that individuals with ASD showed increased local gyrification index of the temporal gyri at three years of age, followed by a decrease local gyrification index from 3 to 5 years. Longitudinal MRI studies have further demonstrated significant cerebral white and gray matter enlargement in toddlers with ASD by the age of two years, followed by a decrease in total gray matter volume in patients with ASD at the age of 10 years.9,18,54 Notably, Hardan et al55 also demonstrated accelerated decreases in the cortical thickness and gray matter volume in individuals with ASD who are 8 to 12 years of age.55 Additionally, the study by Braden and Riecken41 also highlighted that the left temporal lobe has atypical cortical growth trajectories continuing into adulthood. Adults with ASD exhibited increased cortical thinning with age, primarily in the temporal lobe.41 Individuals with ASD also have thicker transverse temporal gyrus during childhood, compared to adulthood.19

Ni et al22 demonstrated dysregulation of cortical folding in the left premotor regions and left superior and inferior temporal gyri in ASD. The superior temporal gyrus is crucial in processing the acoustic-phonetic features of sound and speech, underpinning perception and knowledge.56 Patients with ASD have shown abnormalities in Wernicke’s area, situated within the superior temporal gyrus, which is responsible for receptive speech and language ability.48,57 Aberrations in Heschl’s gyrus within the superior temporal gyrus, integral to auditory processing, are also observed in ASD.58,59 Moreover, the superior temporal gyrus and the adjacent structure, the superior temporal sulcus, contribute to nonlanguage social cognition, including behavior recognition and response to socially relevant information.60 Abnormalities in these structures, such as cortical thinning, reduced gyrification, and decreased sulcus depth, contribute to social interaction impairments in ASD.61,62 Specifically, cortical thinning in the right superior temporal gyrus correlates with higher Social Responsiveness Scale (SRS) scores, indicating severe social-communication difficulties.63 Whole-brain voxel-based morphometry MRI studies have demonstrated bilateral reductions in gray matter concentration in the superior temporal sulcus and decreased white matter concentration in the right temporal pole.64 However, Zoltowski et al20 reported that increased gyrification and sulcus depth in the right superior temporal gyrus were associated with greater autism-related behaviors. Similarly, Jou et al65 also reported significant increases in right superior temporal gyral volumes in children with ASD. Discrepancies in changes in the thickness of the superior temporal gyrus in the research studies may be attributed to differences in the ages of the subjects with ASD.

Furthermore, studies have also demonstrated decreased sulcal depth in the middle temporal gyrus, correlating with greater autism-related behaviors.20 The middle temporal gyrus is a critical node in the brain’s language network, crucial for language comprehension.66 ASD also exhibits reductions in the gray matter and white matter volumes in the superior temporal region, potentially leading to abnormal activation of circuitry.67 Squarcina et al12 demonstrated gray matter volume depletion in the right inferior temporal gyrus in ASD. The inferior temporal gyrus is involved in the ventral visual pathways, visual and dorsal attention system, frontoparietal control network, and integration of the multimodal sensory system.24 Furthermore, these structures also play a role in emotional processing, which is essential for optimal self-regulation, facilitating the transfer of information from unimodal sensation systems to heteromodal cognition systems.68,69

The fusiform gyrus, located in the inferior temporal lobe, is essential for processing and computing high-level visual information, such as facial and object perception.70 The left fusiform gyrus is involved in processing facial perception, while the right fusiform gyrus is responsible for object recognition and general visual perception.71 Studies have reported leftward volumetric asymmetric of the anterior and posterior temporal fusiform gyrus in individuals with ASD, compared to neurotypical individuals.72,73 Furthermore, histopathological studies in ASD have shown cellular abnormalities in the fusiform gyrus, including decreased total neuron numbers, neuron densities, and perikaryal volumes in different cortical layers.74 Volumetric reductions across various cortices in ASD may be attributed to underlying alterations in white matter.75 Dougherty et al73 reported that volume symmetry index inversely correlates with ADOS and Gotham autism severity scores, suggesting a link between volumetric asymmetry and symptom severity. The study also indicated that patients with ASD with increasing symptom severity display greater rightward fusiform asymmetry, while the average ASD population exhibits leftward asymmetry.73 Therefore, individuals with less symptom severity may display leftward volumetric asymmetry, while those with higher symptom severity may display rightward volumetric asymmetry.73 Importantly, studies have consistently reported that ASD populations have facial processing impairments, leading to difficulties in recognizing facial emotions and face memory.76,77 These impairments in ASD can be attributed to abnormalities in the circuitry involving fusiform gyrus and amygdala.77

A meta-analysis by Casale et al78 demonstrated volumetric reductions in the hippocampal area in ASD, including the entorhinal cortex, located at the medial regions of the temporal lobe. The entorhinal cortex has numerous connections with other cortices and serves as the primary mediator of cortical information transfer into and out of the hippocampus proper, and it is crucial for memory processing.79 Therefore, reductions of volume in these regions may lead to episodic memory impairments.80

Parietal Lobe

A lobar analysis conducted by Zielinski et al19 showed an increase in age-related cortical thinning within the right, left, and total parietal cortices among ASD groups, in comparison to the neurotypical control group. In children with ASD, there is also a decrease in the thickness of both the bilateral primary somatosensory cortices and right superior parietal lobe, and these reductions are positively correlated with increased self-injury scores and repetitive injuries.81 This increase in the incidence of self-injury may be attributed to diminished volume of the left ventroposterior nucleus of the thalamus, specifically the left primary somatosensory relay nucleus.81 These pre-existing abnormalities and impaired development in the primary somatosensory cortex may be contributory factors to self-injurious behavior in children with ASD.81 In addition, lesions in the posterior parietal cortex might be responsible for impairments in sensorimotor integration and object-directed actions.82 Duerden et al81 reported that an augmented somatosensory response to tactile stimuli and proprioception might be linked to higher repetitive injury in ASD. Alterations in the parietal lobe-mediated processes may lead to atypical sensory processing, potentially resulting in self-injury among individuals with ASD.83 Zoltowski et al20 demonstrated changes in the morphology of associative parietal regions, including the superior parietal lobule and precuneus. These changes have been shown to cause differences in sensory association, as well as deifcits in complex social and communication skills in ASD.20 Preceneus activation has also been associated with processing of the theory of mind and self-processing operations, both of which may be impaired in ASD.84

DeRamu et al85 discovered higher activation in the left inferior parietal lobule, particularly the angular gyrus, in children with ASD. Both bilateral inferior parietal regions play a pivotal role in perceiving emotions in facial stimuli, particularly the perception of eyes and brows.86 Furthermore, the inferior parietal lobule is integral to action processing and executive functioning, including auditory spatial working memory.87,88 It also plays a crucial role in praxis acquisition and expression and the performance of social skills.89 Weaker connectivity between the right central inferior parietal lobe and left cerebellum has been associated with poorer praxis acquisition and social-communicative skills in children with ASD.89 Finally, children with ASD exhibit visual facial processing disorders and an inability to distinguish between self and others, often due to dysfunction of the right supramarginal area in the inferior parietal lobe.90,91

Children with ASD also display abnormalities of the angular gyrus.47 The angular gyrus is essential in semantic information processing, attention and spatial cognition, self-processing, reading and comprehension, and emotion regulation.92,93 Individuals with ASD also demonstrate structural changes in the intraparietal sulcus, characterized by increased depth in comparison to neurotypical individuals.94 The bilateral intraparietal sulcus plays a part in the mirror neuron system and is implicated in interpreting the actions, behaviors, and intentions of others, thus affecting neurocognitive functions, such as language, social cognition, and empathy.95,96 Furthermore, children with ASD demonstrate alterations in both the anatomy and function of the postcentral gyrus, involving increased connectivity with the medial thalamus and increased activation.97,98 The postcentral gyrus houses the primary somatosensory cortex responsible for proprioception and tactile processing.99 Abnormalities in somatosensory function may contribute to differences in tactile reactivity in ASD.20 Individuals with ASD frequently exhibit impaired responses to tactile processing due to inhibited responses.100 Puts et al100 have shown that individuals with ASD have an increased threshold for static detection of stimulus and poor discrimination of amplitude in vibrotactile tasks. Alterations in the detection threshold might underlie core ASD symptoms, such as hypersensitivity to stimuli or difficulties in social communication.101

Occipital Lobe

Brain imaging studies have demonstrated structural anomalies in the occipital lobe of individuals with ASD, compared to neurotypical individuals.55 The lingual gyrus, which contains the primary visual cortex, is located in the occipital lobes and is essential for visual processing.3 Furthermore, the striate cortex, located in the calcarine fissure, along with adjacent regions, such as the lingual gyrus, the caudal part of the precuneus, and the cuneus, is crucial for processing visual information.46 Zielinski et al19 demonstrated an increase in cortical thickness in the visual cortex, along with age-related cortical thinning. In addition, the severity of visual hypersensitivity is positively correlated with increased cortical thickness in the visual cortex.55 This suggests that individuals with ASD experience heightened sensitivity to visual stimuli during childhood, with a decrease in intensity as they reach adulthood.55 Furthermore, increased cortical thickness in the lingual gyrus is also associated with social impairments stemming from visual sensory abnormalities in ASD.102 However, other studies have demonstrated a decrease in cortical thickness and sulcal depth in the inferior occipital cortex and the superior occipital cluster, which are associated with greater autism-related behaviors.20 Changes in the receptive field properties within the early visual processing regions, as reported in the functional MRI responses, exhibit correlations with structural alterations in the occipital lobes and more severe autistic symptoms.103,104 Early brain overgrowth hypothesis in ASD may explain the thicker occipital cortex in school-aged children, compared to adults.67

The left lateral occipital cortex exhibits increased gyral height and sulcal depth in individuals with ASD, compared to neurotypical individuals.14 Furthermore, ASD is associated with increased cortical thickness in the bilateral cuneus and the right pericalcarine region of the occipital lobe during childhood.19 Remarkably, cortical thickness in the left lateral occipital lobe is negatively correlated with age in adults with ASD.41 Individuals with ASD display a significant accelerated decline in the gray matter volume and thickness of the occipital cortex, compared to neurotypical individuals.19 These structural changes in the occipital lobe in ASD may impact visual attention and working memory, which are known to decline with age in neurotypical individuals.105

Other Cortical Structures

Cortical thinning of the bilateral insula is associated with higher SRS scores.63 The insula has numerous cortical connections, including the orbitofrontal cortex, parietal cortex, temporal cortex, amygdala, and anterior cingulate.106 A meta-analysis demonstrated significant hypoactivity of the insula in ASD, leading to difficulties in social recognition, facial processing, and theory of mind.61 The insula also has an important role in interoception, visceral sensation, and autonomic control, which are essential in social cognition and monitoring one’s internal state.63 Furthermore, the insula is responsible for the physiological condition of the body, forming the foundation for emotions and feelings.107 Monitoring the internal state through the insula is critical for social cognition, underpinning self-awareness.107 A decrease in the gyrification of the posterior insula and central and parietal opercula is observed in ASD, which is involved in interoceptive stimuli sensory processing.20,108 Studies have also demonstrated that declines in the cortical thickness of these regions have a positive correlation with age and are associated with social traits in ASD.109

Zoltowski et al20 reported an increase in the cortical thickness of the anterior insula and anterior cingulate in ASD. In addition, Doyle-Thomas et al13 also demonstrated a positive correlation between increased cortical thickness of the rostral anterior cingulate cortex and the severity of social impairments, with this abnormality persisting from childhood into adulthood. Several MRI studies have also shown increased thickness and decreased gray volume in the anterior cingulate cortex.46 Abnormalities in the anterior cingulate cortex and dorsal medial frontal cortex in ASD are linked to defects in social orienting and joint attention.110,111 The anterior insula and anterior cingulate together form the salience network, which is crucial for attention processing of competing stimuli and regulating emotion responses.13,112 Increases in cortical thickness may result from decreased myelination during development or increased neuronal cell bodies.113 These alterations may induce changes in both the structural and functional aspects of salience network connectivity, contributing to the hallmark features of ASD, namely heightened sensory reactivity and socioemotional processing deficit.42,114 Furthermore, ASD is associated with reductions in gamma-aminobutyric acid type B (GABAB) receptors binding density in the superficial layers in the anterior cingulate cortex, resulting in synaptic regulation and a disrupted balance between excitatory and inhibitory brain functions.115 Conversely, Laidi et al116 demonstrated a decrease in the cortical thickness of right anterior cingulate cortex in ASD, which is associated with affective disorders, such as increased interoceptive awareness and alexithymia.116–118

Conclusion

Neuroanatomical changes in the cerebral cortex in ASD may vary between studies due to the heterogeneity of presentation. Nevertheless, multiple studies have shown significant structural and functional changes in various cerebral cortex regions in children with ASD, compared to neurotypical children. Neuroimaging is an important tool in elucidating the pathophysiology of ASD by assessing atypical brain trajectories and neuroanatomical alterations in affected individuals. Large-scale, longitudinal, noninvasive imaging studies are necessary to follow patients from infancy through adolescence to better comprehend the various ASD phenotypes. In the future, ASD may be classified into distinct categories based on the genetic or neuroanatomical features, facilitating the development of novel treatments.

References

  1. Lord C, Risi S, Lambrecht L, et al. The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism. J Autism Dev Disord. 2000;30(3):205–223.
  2. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th edition. American Psychiatric Association; 2013.
  3. Habata K, Cheong Y, Kamiya T, et al. Relationship between sensory characteristics and cortical thickness/volume in autism spectrum disorders. Transl Psychiatry. 2021;11(1):616.
  4. Emberti Gialloreti L, Mazzone L, Benvenuto A, et al. Risk and protective environmental factors associated with autism spectrum disorder: evidence-based principles and recommendations. J Clin Med. 2019;8(2):217.
  5. Ecker C, Marquand A, Mourão-Miranda J, et al. Describing the brain in autism in five dimensions–magnetic resonance imaging-assisted diagnosis of autism spectrum disorder using a multiparameter classification approach. J Neurosci. 2010;30(32):10612–10623.
  6. Ecker C. The neuroanatomy of autism spectrum disorder: an overview of structural neuroimaging findings and their translatability to the clinical setting. Autism. 2017;21(1):18–28.
  7. Brentani H, Paula CS, Bordini D, et al. Autism spectrum disorders: an overview on diagnosis and treatment. Braz J Psychiatry. 2013;35 Suppl 1:S62–S72.
  8. Courchesne E, Karns CM, Davis HR, et al. Unusual brain growth patterns in early life in patients with autistic disorder: an MRI study. Neurology. 2001;57(2):245–254.
  9. Betancur C. Etiological heterogeneity in autism spectrum disorders: more than 100 genetic and genomic disorders and still counting. Brain Res. 2011;1380:42–77.
  10. Zabihi M, Oldehinkel M, Wolfers T, et al. Dissecting the heterogeneous cortical anatomy of autism spectrum disorder using normative models. Biol Psychiatry Cogn Neurosci Neuroimaging. 2019;4(6):567–578.
  11. Bieneck V, Bletsch A, Mann C, et al. Longitudinal changes in cortical thickness in adolescents with autism spectrum disorder and their association with restricted and repetitive behaviors. Genes (Basel). 2021;12(12):2024.
  12. Squarcina L, Nosari G, Marin R, et al. Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine. Brain Behav. 2021;11(8):e2238.
  13. Doyle-Thomas KA, Duerden EG, Taylor MJ, et al. Effects of age and symptomatology on cortical thickness in autism spectrum disorders. Res Autism Spectr Disord. 2013;7(1):141–150.
  14. Wallace GL, Eisenberg IW, Robustelli B, et al. Longitudinal cortical development during adolescence and young adulthood in autism spectrum disorder: increased cortical thinning but comparable surface area changes. J Am Acad Child Adolesc Psychiatry. 2015;54(6):464–469.
  15. Wass S. Distortions and disconnections: disrupted brain connectivity in autism. Brain Cogn. 2011;75(1):18–28.
  16. Lainhart JE, Bigler ED, Bocian M, et al. Head circumference and height in autism: a study by the Collaborative Program of Excellence in Autism. Am J Med Genet A. 2006;140(21):2257–2274.
  17. Hazlett HC, Poe MD, Gerig G, et al. Early brain overgrowth in autism associated with an increase in cortical surface area before age 2 years. Arch Gen Psychiatry. 2011;68(5):467–476.
  18. Schumann CM, Bloss CS, Barnes CC, et al. Longitudinal magnetic resonance imaging study of cortical development through early childhood in autism. J Neurosci. 2010;30(12):4419–4427.
  19. Zielinski BA, Prigge MB, Nielsen JA, et al. Longitudinal changes in cortical thickness in autism and typical development. Brain. 2014;137(Pt 6):1799–1812.
  20. Zoltowski AR, Lyu I, Failla M, et al. Cortical morphology in autism: findings from a cortical shape-adaptive approach to local gyrification indexing. Cereb Cortex. 2021;31(11):5188–5205.
  21. Ecker C, Ginestet C, Feng Y, et al. Brain surface anatomy in adults with autism: the relationship between surface area, cortical thickness, and autistic symptoms. JAMA Psychiatry. 2013;70(1):59–70.
  22. Ni HC, Lin HY, Chen YC, et al. Boys with autism spectrum disorder have distinct cortical folding patterns underpinning impaired self-regulation: a surface-based morphometry study. Brain Imaging Behav. 2020;14(6):2464–2476.
  23. Ochsner KN, Ray RD, Cooper JC, et al. For better or for worse: neural systems supporting the cognitive down- and up-regulation of negative emotion. Neuroimage. 2004;23(2):483–499.
  24. Yeo BT, Krienen FM, Sepulcre J, et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106(3):1125–1165.
  25. Pitskel NB, Bolling DZ, Kaiser MD, et al. Neural systems for cognitive reappraisal in children and adolescents with autism spectrum disorder. Dev Cogn Neurosci. 2014;10:117–128.
  26. Rolls ET. The orbitofrontal cortex and emotion in health and disease, including depression. Neuropsychologia. 2019;128:14–43.
  27. Hegarty JP 2nd, Pegoraro LFL, Lazzeroni LC, et al. Genetic and environmental influences on structural brain measures in twins with autism spectrum disorder. Mol Psychiatry. 2020;25(10):2556–2566.
  28. Bachevalier J, Loveland KA. The orbitofrontal-amygdala circuit and self-regulation of social-emotional behavior in autism. Neurosci Biobehav Rev. 2006;30(1):97–117.
  29. Amaral DG, Schumann CM, Nordahl CW. Neuroanatomy of autism. Trends Neurosci. 2008;31(3):137–145.
  30. Liu X, Bautista J, Liu E, Zikopoulos B. Imbalance of laminar-specific excitatory and inhibitory circuits of the orbitofrontal cortex in autism. Mol Autism. 2020;11(1):83.
  31. Green SA, Hernandez L, Tottenham N, et al. Neurobiology of sensory overresponsivity in youth with autism spectrum disorders. JAMA Psychiatry. 2015;72(8):778–786.
  32. Blair RJ. The neurobiology of impulsive aggression. J Child Adolesc Psychopharmacol. 2016;26(1):4–9.
  33. Belger A, Carpenter KL, Yucel GH, et akl. The neural circuitry of autism. Neurotox Res. 2011;20(3):201–214.
  34. Lucibello S, Bertè G, Verdolotti T, et al. Cortical thickness and clinical findings in prescholar children with autism spectrum disorder. Front Neurosci. 2021;15:776860.
  35. Hadjikhani N, Joseph RM, Snyder J, Tager-Flusberg H. Anatomical differences in the mirror neuron system and social cognition network in autism. Cereb Cortex. 2006;16(9):1276–1282.
  36. Nishitani N, Avikainen S, Hari R. Abnormal imitation-related cortical activation sequences in Asperger’s syndrome. Ann Neurol. 2004;55(4):558–562.
  37. Oberman LM, Hubbard EM, McCleery JP, et al. EEG evidence for mirror neuron dysfunction in autism spectrum disorders. Brain Res Cogn Brain Res. 2005;24(2):190–198.
  38. Théoret H, Halligan E, Kobayashi M, et al. Impaired motor facilitation during action observation in individuals with autism spectrum disorder. Curr Biol. 2005;15(3):R84–R85.
  39. Mosconi MW, Sweeney JA. Sensorimotor dysfunctions as primary features of autism spectrum disorders. Sci China Life Sci. 2015;58(10):1016–1023.
  40. Ozonoff S, Young GS, Goldring S, et al. Gross motor development, movement abnormalities, and early identification of autism. J Autism Dev Disord. 2008;38(4):644–656.
  41. Braden BB, Riecken C. Thinning faster? Age-related cortical thickness differences in adults with autism spectrum disorder. Res Autism Spectr Disord. 2019;64:31–38.
  42. Abbott AE, Nair A, Keown CL, et al. Patterns of atypical functional connectivity and behavioral links in autism differ between default, salience, and executive networks. Cereb Cortex. 2016;26(10):4034–4045.
  43. Tian J, Gao X, Yang L. Repetitive restricted behaviors in autism spectrum disorder: from mechanism to development of therapeutics. review. Front Neurosci. 2022;16:780407.
  44. Conti E, Mitra J, Calderoni S, et al. Network over-connectivity differentiates autism spectrum disorder from other developmental disorders in toddlers: a diffusion MRI study. Hum Brain Mapp. 2017;38(5):2333–2344.
  45. Ma ZH, Lu B, Li X, et al. Atypicalities in the developmental trajectory of cortico-striatal functional connectivity in autism spectrum disorder. Autism. 2022;26(5):1108–1122.
  46. Moradi E, Khundrakpam B, Lewis JD, Evans AC, Tohka J. Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data. Neuroimage. 2017;144(Pt A):128–141.
  47. Just MA, Cherkassky VL, Keller TA, Minshew NJ. Cortical activation and synchronization during sentence comprehension in high-functioning autism: evidence of underconnectivity. Brain. 2004;127(8):1811–1821.
  48. Lewis JD, Evans AC, Pruett JR, et al. Network inefficiencies in autism spectrum disorder at 24 months. Transl Psychiatry. 2014;4(5):e388.
  49. Paul R, Augustyn A, Klin A, Volkmar FR. Perception and production of prosody by speakers with autism spectrum disorders. J Autism Dev Disord. 2005;35(2):205–220.
  50. Gebauer L, Skewes J, Hørlyck L, Vuust P. Atypical perception of affective prosody in autism spectrum disorder. Neuroimage Clin. 2014;6:370–378.
  51. Chen J, Wei Z, Liang C, et al. Dysfunction of the auditory brainstem as a neurophysiology subtype of autism spectrum disorder. Front Neurosci. 2021;15:637079.
  52. Libero LE, Schaer M, Li DD, et al. A longitudinal study of local gyrification index in young boys with autism spectrum disorder. Cereb Cortex. 2019;29(6):2575–2587.
  53. Hua X, Thompson PM, Leow AD, et al. Brain growth rate abnormalities visualized in adolescents with autism. Hum Brain Mapp. 2013;34(2):425–436.
  54. Chen R, Jiao Y, Herskovits EH. Structural MRI in autism spectrum disorder. Pediatr Res. 2011;69(5 Pt 2):63R–68R.
  55. Hardan AY, Libove RA, Keshavan MS, et al. A preliminary longitudinal magnetic resonance imaging study of brain volume and cortical thickness in autism. Biol Psychiatry. 2009;66(4):320–326.
  56. Yi HG, Leonard MK, Chang EF. The encoding of speech sounds in the superior temporal gyrus. Neuron. 2019;102(6):1096–1110.
  57. Bigler ED, Mortensen S, Neeley ES, et al. Superior temporal gyrus, language function, and autism. Dev Neuropsychol. 2007;31(2):217–238.
  58. Green SA, Rudie JD, Colich NL, et al. Overreactive brain responses to sensory stimuli in youth with autism spectrum disorders. J Am Acad Child Adolesc Psychiatry. 2013;52(11):1158–1172.
  59. O’Connor K. Auditory processing in autism spectrum disorder: a review. Neurosci Biobehav Rev. 2012;36(2):836–854.
  60. Adolphs R. The neurobiology of social cognition. Curr Opin Neurobiol. 2001;11(2):231–239.
  61. Di Martino A, Ross K, Uddin LQ, et al. Functional brain correlates of social and nonsocial processes in autism spectrum disorders: an activation likelihood estimation meta-analysis. Biol Psychiatry. 2009;65(1):63–74.
  62. Zilbovicius M, Meresse I, Chabane N, et al. Autism, the superior temporal sulcus and social perception. Trends Neurosci. 2006;29(7):359–366.
  63. Hadjikhani N, Joseph RM, Snyder J, Tager-Flusberg H. Abnormal activation of the social brain during face perception in autism. Hum Brain Mapp. 2007;28(5):441–449.
  64. Boddaert N, Chabane N, Gervais H, et al. Superior temporal sulcus anatomical abnormalities in childhood autism: a voxel-based morphometry MRI study. Neuroimage. 2004;23(1):364–369.
  65. Jou RJ, Minshew NJ, Keshavan MS, et al. Enlarged right superior temporal gyrus in children and adolescents with autism. Brain Res. 2010;1360:205–212.
  66. Acheson DJ, Hagoort P. Stimulating the brain’s language network: syntactic ambiguity resolution after TMS to the inferior frontal gyrus and middle temporal gyrus. J Cogn Neurosci. 2013;25(10):1664–1677.
  67. Blanken LM, Mous SE, Ghassabian A, et al. Cortical morphology in 6- to 10-year old children with autistic traits: a population-based neuroimaging study. Am J Psychiatry. 2015;172(5):479–486.
  68. Goldin PR, McRae K, Ramel W, Gross JJ. The neural bases of emotion regulation: reappraisal and suppression of negative emotion. Biol Psychiatry. 2008;63(6):577–586.
  69. Etkin A, Büchel C, Gross JJ. The neural bases of emotion regulation. Nat Rev Neurosci. 2015;16(11):693–700.
  70. Weiner KS, Zilles K. The anatomical and functional specialization of the fusiform gyrus. Neuropsychologia. 2016;83:48–62.
  71. Rangarajan V, Hermes D, Foster BL, et al. Electrical stimulation of the left and right human fusiform gyrus causes different effects in conscious face perception. J Neurosci. 2014;34(38):12828–12836.
  72. Herbert MR, Ziegler DA, Deutsch CK, et al. Brain asymmetries in autism and developmental language disorder: a nested whole-brain analysis. Brain. 2005;128(Pt 1):213–226.
  73. Dougherty CC, Evans DW, Katuwal GJ, Michael AM. Asymmetry of fusiform structure in autism spectrum disorder: trajectory and association with symptom severity. Mol Autism. 2016;7:28.
  74. van Kooten IA, Palmen SJ, von Cappeln P, et al. Neurons in the fusiform gyrus are fewer and smaller in autism. Brain. 2008;131(Pt 4):987–999.
  75. Waiter GD, Williams JH, Murray AD, et al. A voxel-based investigation of brain structure in male adolescents with autistic spectrum disorder. Neuroimage. 2004;22(2):619–625.
  76. Weigelt S, Koldewyn K, Kanwisher N. Face identity recognition in autism spectrum disorders: a review of behavioral studies. Neurosci Biobehav Rev. 2012;36(3):1060–1084.
  77. Guy J, Habak C, Wilson HR, et al. Face perception develops similarly across viewpoint in children and adolescents with and without autism spectrum disorder. J Vis. 2017;17(1):38.
  78. Del Casale A, Ferracuti S, Alcibiade A, et al. Neuroanatomical correlates of autism spectrum disorders: a meta-analysis of structural magnetic resonance imaging (MRI) studies. Psychiatry Res Neuroimaging. 2022;325:111516.
  79. Garcia AD, Buffalo EA. Anatomy and function of the primate entorhinal cortex. Annu Rev Vis Sci. 2020;6:411–432.
  80. Salmond CH, Ashburner J, Connelly A, et al. The role of the medial temporal lobe in autistic spectrum disorders. Eur J Neurosci. 2005;22(3):764–772.
  81. Duerden EG, Card D, Roberts SW, et al. Self-injurious behaviors are associated with alterations in the somatosensory system in children with autism spectrum disorder. Brain Struct Funct. 2014;219(4):1251–1261.
  82. Freund HJ. Somatosensory and motor disturbances in patients with parietal lobe lesions. Adv Neurol. 2003;93:179–193.
  83. Duerden EG, Oatley HK, Mak-Fan KM, et al. Risk factors associated with self-injurious behaviors in children and adolescents with autism spectrum disorders. J Autism Dev Disord. 2012;42(11):2460–2470.
  84. Dufour N, Redcay E, Young L, et al. Similar brain activation during false belief tasks in a large sample of adults with and without autism. PLoS One. 2013;8(9):e75468.
  85. DeRamus TP, Black BS, Pennick MR, Kana RK. Enhanced parietal cortex activation during location detection in children with autism. J Neurodev Disord. 2014;6(1):37.
  86. Radua J, Phillips ML, Russell T, et al. Neural response to specific components of fearful faces in healthy and schizophrenic adults. Neuroimage. 2010;49(1):939–946. 
  87. Caspers S, Schleicher A, Bacha-Trams M, et al. Organization of the human inferior parietal lobule based on receptor architectonics. Cereb Cortex. 2013;23(3):615–628.
  88. Alvarez JA, Emory E. Executive function and the frontal lobes: a meta-analytic review. Neuropsychol Rev. 2006;16(1):17–42.
  89. Wymbs NF, Nebel MB, Ewen JB, Mostofsky SH. Altered inferior parietal functional connectivity is correlated with praxis and social skill performance in children with autism spectrum disorder. Cereb Cortex. 2021;31(5):2639–2652.
  90. Mensen VT, Wierenga LM, van Dijk S, et al. Development of cortical thickness and surface area in autism spectrum disorder. Neuroimage Clin. 2017;13:215–222.
  91. Levman J, MacDonald P, Rowley S, et al. Structural magnetic resonance imaging demonstrates abnormal regionally-differential cortical thickness variability in autism: from newborns to adults. Front Hum Neurosci. 2019;13:75.
  92. Tanaka S, Kirino E. Increased functional connectivity of the angular gyrus during imagined music performance. Front Hum Neurosci. 2019;13:92.
  93. Seghier ML. The angular gyrus: multiple functions and multiple subdivisions. Neuroscientist. 2013;19(1):43–61.
  94. Auzias G, Viellard M, Takerkart S, et al. Atypical sulcal anatomy in young children with autism spectrum disorder. Neuroimage Clin. 2014;4:593–603.
  95. Rizzolatti G, Fabbri-Destro M. Mirror neurons: from discovery to autism. Exp Brain Res. 2010;200(3–4):223–237.
  96. Rajmohan V, Mohandas E. Mirror neuron system. Indian J Psychiatry. 2007;49(1):66–69.
  97. Cheng W, Rolls ET, Gu H, et al. Autism: reduced connectivity between cortical areas involved in face expression, theory of mind, and the sense of self. Brain. 2015;138(5):1382–1393.
  98. Patriquin MA, DeRamus T, Libero LE, et al. Neuroanatomical and neurofunctional markers of social cognition in autism spectrum disorder. Hum Brain Mapp. 2016;37(11):3957–3978.
  99. DiGuiseppi J, Tadi P. Neuroanatomy, Postcentral Gyrus. [Updated 2023 Jul 24]. In: StatPearls [Internet].  StatPearls Publishing; 2023.
  100. Puts NA, Wodka EL, Tommerdahl M, et al. Impaired tactile processing in children with autism spectrum disorder. J Neurophysiol. 2014;111(9):1803–1811.
  101. Mikkelsen M, Wodka EL, Mostofsky SH, Puts NAJ. Autism spectrum disorder in the scope of tactile processing. Dev Cogn Neurosci. 2018;29:140–150.
  102. Turnbull A, Garfinkel SN, Ho NSP, et al. Word up – experiential and neurocognitive evidence for associations between autistic symptomology and a preference for thinking in the form of words. Cortex. 2020;128:88–106.
  103. Schwarzkopf DS, Anderson EJ, de Haas B, et al. Larger extrastriate population receptive fields in autism spectrum disorders. J Neurosci. 2014;34(7):2713–2724.
  104. Flevaris AV, Murray SO. Orientation-specific surround suppression in the primary visual cortex varies as a function of autistic tendency. Front Hum Neurosci. 2015;8:1017.
  105. Cabeza R, Daselaar SM, Dolcos F, Prince SE, et al. Task-independent and task-specific age effects on brain activity during working memory, visual attention and episodic retrieval. Cereb Cortex. 2004;14(4):364–375.
  106. Ghaziri J, Tucholka A, Girard G, et al. The corticocortical structural connectivity of the human insula. Cereb Cortex. 2017;27(2):1216–1228.
  107. Craig AD. How do you feel–now? The anterior insula and human awareness. Nat Rev Neurosci. 2009;10(1):59–70.
  108. Craig AD. How do you feel? Interoception: the sense of the physiological condition of the body. Nat Rev Neurosci. 2002;3(8):655–666.
  109. Failla MD, Bryant LK, Heflin BH, et al. Neural correlates of cardiac interoceptive focus across development: implications for social symptoms in autism spectrum disorder. Autism Res. 2020;13(6):908–920.
  110. Dawson G, Toth K, Abbott R, et al. Early social attention impairments in autism: social orienting, joint attention, and attention to distress. Dev Psychol. 2004;40(2):271–283.
  111. Mundy P, Sullivan L, Mastergeorge AM. A parallel and distributed-processing model of joint attention, social cognition and autism. Autism Res. 2009;2(1):2–21.
  112. Menon V, Uddin LQ. Saliency, switching, attention and control: a network model of insula function. Brain Struct Funct. 2010;214(5–6):655–667.
  113. Natu VS, Gomez J, Barnett M, et al. Apparent thinning of human visual cortex during childhood is associated with myelination. Proc Natl Acad Sci U S A. 2019;116(41):20750–20759.
  114. Uddin LQ, Supekar K, Lynch CJ, et al. Salience network-based classification and prediction of symptom severity in children with autism. JAMA Psychiatry. 2013;70(8):869–879.
  115. Oblak AL, Gibbs TT, Blatt GJ. Decreased GABA(B) receptors in the cingulate cortex and fusiform gyrus in autism. J Neurochem. 2010;114(5):1414–1423.
  116. Laidi C, Boisgontier J, de Pierrefeu A, et al. Decreased cortical thickness in the anterior cingulate cortex in adults with autism. J Autism Dev Disord. 2019;49(4):1402–1409.
  117. Ernst J, Böker H, Hättenschwiler J, et al. The association of interoceptive awareness and alexithymia with neurotransmitter concentrations in insula and anterior cingulate. Soc Cogn Affect Neurosci. 2014;9(6):857–863.
  118. Hogeveen J, Bird G, Chau A, et al. Acquired alexithymia following damage to the anterior insula. Neuropsychologia. 2016;82:142–148.