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Zapparrata NM, Brooks PJ, Ober TM. Slower Processing Speed in Autism Spectrum Disorder: A Meta-analytic Investigation of Time-Based Tasks. J Autism Dev Disord 2023; 53:4618-4640. [PMID: 36112302 DOI: 10.1007/s10803-022-05736-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/29/2022] [Indexed: 11/28/2022]
Abstract
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition affecting information processing across domains. The current meta-analysis investigated whether slower processing speed is associated with the ASD neurocognitive profile and whether findings hold across different time-based tasks and stimuli (social vs. nonsocial; linguistic vs. nonlinguistic). Mean RTs of ASD and age-matched neurotypical comparison groups (N = 893 ASD, 1063 neurotypical; mean age ASD group = 17 years) were compared across simple RT, choice RT, and interference control tasks (44 studies, 106 effects) using robust variance estimation meta-analysis. Simple RT tasks required participants to respond to individual stimuli, whereas choice RT tasks required forced-choice responses to two or more stimuli. Interference control tasks required a decision in the context of a distractor or priming stimulus; in an effort to minimize inhibitory demands, we extracted RTs only from baseline and congruent conditions of such tasks. All tasks required nonverbal (motor) responses. The overall effect-size estimate indicated significantly longer mean RTs in ASD groups (g = .35, 95% CI = .16; .54) than comparison groups. Task type moderated effects, with larger estimates drawn from simple RT tasks than interference control tasks. However, across all three task types, ASD groups exhibited significantly longer mean RTs than comparison groups. Stimulus type and age did not moderate effects. Generalized slowing may be a domain-general characteristic of ASD with potential consequences for social, language, and motor development. Assessing processing speed may inform development of interventions to support autistic individuals and their diverse cognitive profiles.
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Affiliation(s)
- Nicole M Zapparrata
- The College of Staten Island, City University of New York, 2800 Victory Blvd, Staten Island, NY, 10314, USA.
- Educational Psychology Program, The CUNY Graduate Center, 365 Fifth Ave., New York, NY, 10016, USA.
| | - Patricia J Brooks
- The College of Staten Island, City University of New York, 2800 Victory Blvd, Staten Island, NY, 10314, USA
- Educational Psychology Program, The CUNY Graduate Center, 365 Fifth Ave., New York, NY, 10016, USA
| | - Teresa M Ober
- University of Notre Dame, Notre Dame, IN, 46556, USA
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2
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Matyjek M, Bayer M, Dziobek I. Reward responsiveness in autism and autistic traits - Evidence from neuronal, autonomic, and behavioural levels. Neuroimage Clin 2023; 38:103442. [PMID: 37285795 PMCID: PMC10250120 DOI: 10.1016/j.nicl.2023.103442] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 05/01/2023] [Accepted: 05/21/2023] [Indexed: 06/09/2023]
Abstract
Autism has been linked to atypicalities in reward processing, especially in the social domain. However, results are heterogeneous, and their interpretation is hindered by the use of personally non-relevant social rewards. In this study we investigated behavioural (reaction times), neuronal (event-related potentials), and autonomic (pupil sizes) responses to personally relevant social rewards, money, and neutral outcomes in 26 autistic and 53 non-autistic subjects varying in levels of autistic traits. As hypothesised and preregistered, autism and autistic traits did not differently influence responses to social, monetary, or neutral outcomes on either response level. While groups did not differ in behaviour (reaction times), autism was linked to generally enhanced brain responses in early anticipation and larger pupil constrictions in reward reception. Together, these results suggest that when using personally relevant stimuli, autism is linked to generally preserved, although less neuronally efficient processing of rewards. Considering the role of social relevance in reward processing, we propose an interpretation of contradictory evidence from clinical practice and empirical research.
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Affiliation(s)
- Magdalena Matyjek
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Luisenstr. 56, 10117 Berlin, Germany; Institute of Psychology, Humboldt-Universität zu Berlin, Rudower Chaussee, 12489 Berlin, Germany.
| | - Mareike Bayer
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Luisenstr. 56, 10117 Berlin, Germany; Institute of Psychology, Humboldt-Universität zu Berlin, Rudower Chaussee, 12489 Berlin, Germany
| | - Isabel Dziobek
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Luisenstr. 56, 10117 Berlin, Germany; Institute of Psychology, Humboldt-Universität zu Berlin, Rudower Chaussee, 12489 Berlin, Germany
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3
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Leung FYN, Stojanovik V, Micai M, Jiang C, Liu F. Emotion recognition in autism spectrum disorder across age groups: A cross-sectional investigation of various visual and auditory communicative domains. Autism Res 2023; 16:783-801. [PMID: 36727629 DOI: 10.1002/aur.2896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 01/19/2023] [Indexed: 02/03/2023]
Abstract
Previous research on emotion processing in autism spectrum disorder (ASD) has predominantly focused on human faces and speech prosody, with little attention paid to other domains such as nonhuman faces and music. In addition, emotion processing in different domains was often examined in separate studies, making it challenging to evaluate whether emotion recognition difficulties in ASD generalize across domains and age cohorts. The present study investigated: (i) the recognition of basic emotions (angry, scared, happy, and sad) across four domains (human faces, face-like objects, speech prosody, and song) in 38 autistic and 38 neurotypical (NT) children, adolescents, and adults in a forced-choice labeling task, and (ii) the impact of pitch and visual processing profiles on this ability. Results showed similar recognition accuracy between the ASD and NT groups across age groups for all domains and emotion types, although processing speed was slower in the ASD compared to the NT group. Age-related differences were seen in both groups, which varied by emotion, domain, and performance index. Visual processing style was associated with facial emotion recognition speed and pitch perception ability with auditory emotion recognition in the NT group but not in the ASD group. These findings suggest that autistic individuals may employ different emotion processing strategies compared to NT individuals, and that emotion recognition difficulties as manifested by slower response times may result from a generalized, rather than a domain-specific underlying mechanism that governs emotion recognition processes across domains in ASD.
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Affiliation(s)
- Florence Y N Leung
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK.,Department of Psychology, University of Bath, Bath, UK
| | - Vesna Stojanovik
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Martina Micai
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Cunmei Jiang
- Music College, Shanghai Normal University, Shanghai, China
| | - Fang Liu
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
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4
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Krishnamurthy K, Chan MMY, Han YMY. Neural substrates underlying effortful control deficit in autism spectrum disorder: a meta-analysis of fMRI studies. Sci Rep 2022; 12:20603. [PMID: 36446840 PMCID: PMC9708641 DOI: 10.1038/s41598-022-25051-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 11/23/2022] [Indexed: 12/02/2022] Open
Abstract
Effortful control comprises attentional control, inhibitory control, and cognitive flexibility subprocesses. Effortful control is impaired in individuals with autism spectrum disorder, yet its neural underpinnings remain elusive. By conducting a coordinate-based meta-analysis, this study compared the brain activation patterns between autism and typically developing individuals and examined the effect of age on brain activation in each effortful control subprocesses. Meta-analytic results from 22 studies revealed that, individuals with autism showed hypoactivation in the default mode network for tasks tapping inhibitory control functioning (threshold-free cluster enhancement p < 0.001). When these individuals perform tasks tapping attentional control and cognitive flexibility, they exhibited aberrant activation in various brain networks including default mode network, dorsal attention, frontoparietal, visual and somatomotor networks (uncorrected ps < 0.005). Meta-regression analyses revealed that brain regions within the default mode network showed a significant decreasing trend in activation with increasing age (uncorrected p < 0.05). In summary, individuals with autism showed aberrant activation patterns across multiple brain functional networks during all cognitive tasks supporting effortful control, with some regions showing a decrease in activation with increasing age.
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Affiliation(s)
- Karthikeyan Krishnamurthy
- grid.16890.360000 0004 1764 6123Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China ,Brain & Cognitive Behaviour Research Foundation, Chennai, India
| | - Melody M. Y. Chan
- grid.16890.360000 0004 1764 6123Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Yvonne M. Y. Han
- grid.16890.360000 0004 1764 6123Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
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5
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Mihailescu I, Andrei LE, Frunza AA, Manea M, Rad F. Computer-Based Assessment and Self-Report Measures of Executive Functions in High-Functioning Adults with Autism. Brain Sci 2022; 12:brainsci12081069. [PMID: 36009132 PMCID: PMC9405696 DOI: 10.3390/brainsci12081069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/22/2022] [Accepted: 08/11/2022] [Indexed: 11/24/2022] Open
Abstract
This study analyzes the profile of executive functions (EF) in high-functioning adults with autism (HFA), both in terms of performance on four computer-based tasks, as well as how these functions are perceived by the individuals through self-reporting measures. The study included 64 participants: 32 individuals with HFA, and 32 typically developing controls. Four CANTAB tasks were used (assessing spatial working memory, planning, visual memory, and inhibition), as well as a self-reported measure of executive functions (BDEFS) and a scale for the severity of autism symptoms (RAADS-R). The participants in the ASD group performed significantly lower than the control group on all four computer-based tasks, as measured by the total number of errors made (for the spatial working memory, visual memory, and inhibition tasks) and the number of problems solved at the first choice (for the planning task). No correlation was found in the ASD group between the severity of autism symptoms and the computer-based measures. These findings provide evidence that HFA adults may have various executive functioning impairments, and subsequent daily life problems, but these deficits do not necessarily correlate with the severity of core ASD symptoms.
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Affiliation(s)
- Ilinca Mihailescu
- Child and Adolescent Psychiatry Department, “Prof. Dr. Alexandru Obregia” Clinical Hospital of Psychiatry, 041914 Bucharest, Romania
- Correspondence: (I.M.); (L.E.A.); Tel.: +40-726778518 (I.M.); +40-755423922 (L.E.A.)
| | - Lucia Emanuela Andrei
- Child and Adolescent Psychiatry Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Correspondence: (I.M.); (L.E.A.); Tel.: +40-726778518 (I.M.); +40-755423922 (L.E.A.)
| | - Alina Alexandra Frunza
- Psychiatry Department, Mina Minovici National Institute of Legal Medicine, 042122 Bucharest, Romania
| | - Mirela Manea
- Department of Psychiatry and Psychology, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Department of Psychiatry, “Prof. Dr. Alexandru Obregia” Clinical Hospital of Psychiatry, 041914 Bucharest, Romania
| | - Florina Rad
- Child and Adolescent Psychiatry Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
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6
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Bruno A, Bludau S, Mohlberg H, Amunts K. Cytoarchitecture, intersubject variability, and 3D mapping of four new areas of the human anterior prefrontal cortex. Front Neuroanat 2022; 16:915877. [PMID: 36032993 PMCID: PMC9403835 DOI: 10.3389/fnana.2022.915877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 07/01/2022] [Indexed: 11/30/2022] Open
Abstract
The dorsolateral prefrontal cortex (DLPFC) plays a key role in cognitive control and executive functions, including working memory, attention, value encoding, decision making, monitoring, and controlling behavioral strategies. However, the relationships between this variety of functions and the underlying cortical areas, which specifically contribute to these functions, are not yet well-understood. Existing microstructural maps differ in the number, localization, and extent of areas of the DLPFC. Moreover, there is a considerable intersubject variability both in the sulcal pattern and in the microstructure of this region, which impedes comparison with functional neuroimaging studies. The aim of this study was to provide microstructural, cytoarchitectonic maps of the human anterior DLPFC in 3D space. Therefore, we analyzed 10 human post-mortem brains and mapped their borders using a well-established approach based on statistical image analysis. Four new areas (i.e., SFS1, SFS2, MFG1, and MFG2) were identified in serial, cell-body stained brain sections that occupy the anterior superior frontal sulcus and middle frontal gyrus, i.e., a region corresponding to parts of Brodmann areas 9 and 46. Differences between areas in cytoarchitecture were captured using gray level index profiles, reflecting changes in the volume fraction of cell bodies from the surface of the brain to the cortex-white matter border. A hierarchical cluster analysis of these profiles indicated that areas of the anterior DLPFC displayed higher cytoarchitectonic similarity between each other than to areas of the neighboring frontal pole (areas Fp1 and Fp2), Broca's region (areas 44 and 45) of the ventral prefrontal cortex, and posterior DLPFC areas (8d1, 8d2, 8v1, and 8v2). Area-specific, cytoarchitectonic differences were found between the brains of males and females. The individual areas were 3D-reconstructed, and probability maps were created in the MNI Colin27 and ICBM152casym reference spaces to take the variability of areas in stereotaxic space into account. The new maps contribute to Julich-Brain and are publicly available as a resource for studying neuroimaging data, helping to clarify the functional and organizational principles of the human prefrontal cortex.
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Affiliation(s)
- Ariane Bruno
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Cécile and Oskar Vogt Institute for Brain Research, University Hospital Düsseldorf, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- *Correspondence: Ariane Bruno
| | - Sebastian Bludau
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Hartmut Mohlberg
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Katrin Amunts
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Cécile and Oskar Vogt Institute for Brain Research, University Hospital Düsseldorf, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
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7
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Leung FYN, Sin J, Dawson C, Ong JH, Zhao C, Veić A, Liu F. Emotion recognition across visual and auditory modalities in autism spectrum disorder: A systematic review and meta-analysis. DEVELOPMENTAL REVIEW 2022. [DOI: 10.1016/j.dr.2021.101000] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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8
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Costa C, Cristea IA, Dal Bò E, Melloni C, Gentili C. Brain activity during facial processing in autism spectrum disorder: an activation likelihood estimation (ALE) meta-analysis of neuroimaging studies. J Child Psychol Psychiatry 2021; 62:1412-1424. [PMID: 33723876 DOI: 10.1111/jcpp.13412] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/20/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Though aberrant face processing is a hallmark of autistic spectrum disorder (ASD), findings on accompanying brain activity are divergent. Therefore, we conducted an activation likelihood estimation (ALE) meta-analysis of studies examining brain activity during face processing. METHODS We searched PubMed and PsycINFO using combinations of terms as 'fMRI', 'Autism Spectrum Disorder', 'Face Perception'. Eligible studies reported on DSM-diagnosed ASD individuals, compared to controls (HC), using face stimuli presented in fMRI and reporting whole-brain analysis coordinates. We compared two approaches: 'convergence of differences' (primary analysis) using study-level coordinates from ASD vs. HC contrasts, and 'differences in convergence' (secondary) pooling coordinates within each group separately, and contrasting the resultant ALE maps. RESULTS Thirty-five studies (655 ASD and 668 HC) were included. Primary analysis identified a cluster in amygdala/parahippocampus where HC showed greater convergence of activation. Secondary analysis yielded no significant results. CONCLUSIONS Results suggest that ASD dysfunction in face processing relies on structures involved in emotional processing rather than perception. We also demonstrate that the two ALE methodologies lead to divergent results.
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Affiliation(s)
- Cristiano Costa
- Department of General Psychology, University of Padua, Padua, Italy
| | - Ioana Alina Cristea
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,IRCCS Mondino Foundation, Pavia, Italy
| | - Elisa Dal Bò
- Department of General Psychology, University of Padua, Padua, Italy.,Padova Neuroscience Center (PNC), University of Padua, Padua, Italy
| | - Caterina Melloni
- Department of General Psychology, University of Padua, Padua, Italy
| | - Claudio Gentili
- Department of General Psychology, University of Padua, Padua, Italy.,Padova Neuroscience Center (PNC), University of Padua, Padua, Italy
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9
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St John T, Woods S, Bode T, Ritter C, Estes A. A review of executive functioning challenges and strengths in autistic adults. Clin Neuropsychol 2021; 36:1116-1147. [PMID: 34499568 DOI: 10.1080/13854046.2021.1971767] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Objective: There has been a steady rise in research characterizing executive functioning (EF) impairments in autistic individuals but limited research investigating EF strengths. This review provides a summary of current EF research in autistic adults with a focus on EF challenges and strengths and potential sources of heterogeneity in research findings. New avenues for addressing gaps in our understanding of EF strengths are proposed.Method: A review of the EF literature was conducted. One hundred twenty-four studies of inhibition, working memory, cognitive flexibility, fluency, planning, decision-making, and subjective measures of EF in autistic adults were included.Results: Autistic adults with average intellectual functioning demonstrate difficulties with cognitive flexibility, phonemic fluency, and working memory. Strengths in planning, decision-making, and semantic verbal fluency were evident in some but not all studies. Findings regarding inhibition are inconclusive. Key findings across each EF domain are discussed and sources of potential heterogeneity across studies were evaluated. The type of measure used appears to contribute to heterogeneous findings. Subjective EF measures revealed more consistent findings of deficits in autistic adults than objective EF measures.Conclusions: Research reveals areas of EF weaknesses as well as strengths in autistic adults. Unlike EF challenges, EF strengths are not well understood. Future research identifying EF strengths is needed to improve services and supports for autistic adults. Further investigation of potential factors that interact with or constrain EF such as comorbid disorders, verbal ability, sensory processing, and other factors specific to autism will be critical to move the field forward and increase understanding of how EF is related to everyday functioning in autistic adults.
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Affiliation(s)
- Tanya St John
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA.,University of Washington Autism Center, University of Washington, Seattle, WA, USA.,Center on Human Development and Disability, University of Washington, Seattle, WA, USA
| | - Sara Woods
- University of Washington Autism Center, University of Washington, Seattle, WA, USA.,Center on Human Development and Disability, University of Washington, Seattle, WA, USA
| | | | - Cassidy Ritter
- College of Education, University of Washington, Seattle, WA, USA
| | - Annette Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA.,University of Washington Autism Center, University of Washington, Seattle, WA, USA.,Center on Human Development and Disability, University of Washington, Seattle, WA, USA
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10
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Executive Function in High-Functioning Autism Spectrum Disorder: A Meta-analysis of fMRI Studies. J Autism Dev Disord 2021; 50:4022-4038. [PMID: 32200468 DOI: 10.1007/s10803-020-04461-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Abnormalities in executive function (EF) are clinical markers for autism spectrum disorder (ASD). However, the neural mechanisms underlying abnormal EF in ASD remain unclear. This meta-analysis investigated the construct, abnormalities, and age-related changes of EF in ASD. Thirty-three fMRI studies of inhibition, updating, and switching in individuals with high-functioning ASD were included (n = 1114; age range 7-57 years). The results revealed that the EF construct in ASD could be unitary (i.e., common EF) in children/adolescents, but unitary and diverse (i.e., common EF and inhibition) in adults. Abnormalities in this EF construct were found across development in individuals with ASD in comparison with typically developing individuals. Implications and recommendations are discussed for EF theory and for practice in ASD.
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11
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Yuk V, Dunkley BT, Anagnostou E, Taylor MJ. Alpha connectivity and inhibitory control in adults with autism spectrum disorder. Mol Autism 2020; 11:95. [PMID: 33287904 PMCID: PMC7722440 DOI: 10.1186/s13229-020-00400-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 11/18/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Individuals with autism spectrum disorder (ASD) often report difficulties with inhibition in everyday life. During inhibition tasks, adults with ASD show reduced activation of and connectivity between brain areas implicated in inhibition, suggesting impairments in inhibitory control at the neural level. Our study further investigated these differences by using magnetoencephalography (MEG) to examine the frequency band(s) in which functional connectivity underlying response inhibition occurs, as brain functions are frequency specific, and whether connectivity in certain frequency bands differs between adults with and without ASD. METHODS We analysed MEG data from 40 adults with ASD (27 males; 26.94 ± 6.08 years old) and 39 control adults (27 males; 27.29 ± 5.94 years old) who performed a Go/No-go task. The task involved two blocks with different proportions of No-go trials: Inhibition (25% No-go) and Vigilance (75% No-go). We compared whole-brain connectivity in the two groups during correct No-go trials in the Inhibition vs. Vigilance blocks between 0 and 400 ms. RESULTS Despite comparable performance on the Go/No-go task, adults with ASD showed reduced connectivity compared to controls in the alpha band (8-14 Hz) in a network with a main hub in the right inferior frontal gyrus. Decreased connectivity in this network predicted more self-reported difficulties on a measure of inhibition in everyday life. LIMITATIONS Measures of everyday inhibitory control were not available for all participants, so this relationship between reduced network connectivity and inhibitory control abilities may not be necessarily representative of all adults with ASD or the larger ASD population. Further research with independent samples of adults with ASD, including those with a wider range of cognitive abilities, would be valuable. CONCLUSIONS Our findings demonstrate reduced functional brain connectivity during response inhibition in adults with ASD. As alpha-band synchrony has been linked to top-down control mechanisms, we propose that the lack of alpha synchrony observed in our ASD group may reflect difficulties in suppressing task-irrelevant information, interfering with inhibition in real-life situations.
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Affiliation(s)
- Veronica Yuk
- Department of Diagnostic Imaging, The Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada. .,Neurosciences and Mental Health Program, SickKids Research Institute, The Hospital for Sick Children, Toronto, ON, Canada. .,Department of Psychology, University of Toronto, Toronto, ON, Canada.
| | - Benjamin T Dunkley
- Department of Diagnostic Imaging, The Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.,Neurosciences and Mental Health Program, SickKids Research Institute, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Evdokia Anagnostou
- Department of Neurology, The Hospital for Sick Children, Toronto, ON, Canada.,Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Margot J Taylor
- Department of Diagnostic Imaging, The Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.,Neurosciences and Mental Health Program, SickKids Research Institute, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychology, University of Toronto, Toronto, ON, Canada
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12
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Gordon A, Krug MK, Wulff R, Elliott MV, Hogeveen J, Lesh T, Carter C, Solomon M. Components of Executive Control in Autism Spectrum Disorder: A Functional Magnetic Resonance Imaging Examination of Dual-Mechanism Accounts. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 6:792-801. [PMID: 33558195 DOI: 10.1016/j.bpsc.2020.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 10/10/2020] [Accepted: 11/10/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND It remains unclear whether executive control (EC) deficits in autism spectrum disorder (ASD) represent a failure in proactive EC (engaged and maintained before a cognitively demanding event) or in reactive EC (engaged transiently as the event occurs). We addressed this question by administering a paradigm investigating components of EC in a sample of individuals with ASD and typically developing individuals during functional magnetic resonance imaging. METHODS During functional magnetic resonance imaging, 141 participants (64 ASD, 77 typically developing) completed a rapid preparing to overcome prepotency task that required participants to respond to an arrow probe based on the color of an initially presented cue. We examined functional recruitment and connectivity in the frontoparietal task control, cingulo-opercular task control, salience, and default mode networks during cue and probe phases of the task. RESULTS ASD participants showed evidence of behavioral EC impairment. Analyses of functional recruitment and connectivity revealed that ASD participants showed significantly greater activity during the cue in networks associated with proactive control processes, but on the less cognitively demanding trials. On the more cognitively demanding trials, cue activity was similar across groups. During the probe, connectivity between regions associated with reactive control processes was uniquely enhanced on more-demanding (relative to less-demanding) trials in individuals with ASD but not in typically developing individuals. CONCLUSIONS The current data suggest that rather than arising from a specific failure to engage proactive or reactive forms of EC, the deficits in EC commonly observed in ASD may be due to reduced proactive EC and a consequent overreliance on reactive EC on more cognitively demanding tasks.
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Affiliation(s)
- Andrew Gordon
- Department of Psychiatry and Behavioral Sciences University of California, Davis, Sacramento.
| | - Marie K Krug
- Department of Psychiatry and Behavioral Sciences University of California, Davis, Sacramento
| | - Rachel Wulff
- Department of Psychiatry and Behavioral Sciences University of California, Davis, Sacramento
| | - Matthew V Elliott
- Department of Psychology, University of California, Berkeley, Berkeley, California
| | - Jeremy Hogeveen
- Department of Psychology, University of New Mexico, Albuquerque, New Mexico
| | - Tyler Lesh
- Imaging Research Center, Sacramento, California
| | | | - Marjorie Solomon
- Department of Psychiatry and Behavioral Sciences University of California, Davis, Sacramento; Imaging Research Center, Sacramento, California
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13
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May KE, Kana RK. Frontoparietal Network in Executive Functioning in Autism Spectrum Disorder. Autism Res 2020; 13:1762-1777. [PMID: 33016005 DOI: 10.1002/aur.2403] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 09/16/2020] [Accepted: 09/17/2020] [Indexed: 11/05/2022]
Abstract
Higher cognitive functions in autism spectrum disorder (ASD) are characterized by impairments in executive functions (EF). While some research attributes this to an overreliance of the prefrontal cortex (PFC), others demonstrate poor recruitment of the PFC in individuals with ASD. In order to assess the emerging consensus across neuroimaging studies of EF in ASD, the current study used a coordinate-based activation likelihood estimation (ALE) analysis of 16 functional magnetic resonance imaging (fMRI) studies, resulting in a meta-analysis of data from 739 participants (356 ASD, 383 typically developing [TD] individuals) ranging from 7 to 52 years of age. Within-group analysis of EF tasks revealed that both TD and ASD participants had significant activity in PFC regions. Analysis of group differences indicated greater activation in ASD, relative to TD participants, in the right middle frontal gyrus and the anterior cingulate cortex, and lesser activation in the bilateral middle frontal, left inferior frontal gyrus, right inferior parietal lobule, and precuneus. Although both ASD and TD participants showed similar PFC activation, there was differential recruitment of wider network of EF regions such as the IPL in ASD participants. The under-recruitment of parietal regions may be due to poor connectivity of the frontoparietal networks with other regions during EF tasks or a restricted executive network in ASD participants which is limited primarily to the PFC. These results support the executive dysfunction hypothesis of ASD and suggests that poor frontoparietal recruitment may underlie some of the EF difficulties individuals with ASD experience. LAY SUMMARY: This study reports a meta-analysis of 16 brain imaging studies of executive functions (EF) in individuals with autism spectrum disorder (ASD). While parts of the brain's EF network is activated in both ASD and control participants, the ASD group does not activate a wider network of EF regions such as the parietal cortex. This may be due to poor EF network connectivity, or a constrained EF network in ASD participants. These results may underlie some of the EF difficulties individuals with ASD experience. Autism Res 2020, 13: 1762-1777. © 2020 International Society for Autism Research and Wiley Periodicals LLC.
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Affiliation(s)
- Kaitlyn E May
- Department of Educational Studies in Psychology, Research Methodology, and Counseling, University of Alabama, Tuscaloosa, Alabama, USA
| | - Rajesh K Kana
- Department of Psychology, Center for Innovative Research in Autism, University of Alabama, Tuscaloosa, Alabama, USA
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14
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Williams CM, Peyre H, Toro R, Beggiato A, Ramus F. Adjusting for allometric scaling in ABIDE I challenges subcortical volume differences in autism spectrum disorder. Hum Brain Mapp 2020; 41:4610-4629. [PMID: 32729664 PMCID: PMC7555078 DOI: 10.1002/hbm.25145] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 06/29/2020] [Accepted: 07/07/2020] [Indexed: 12/17/2022] Open
Abstract
Inconsistencies across studies investigating subcortical correlates of autism spectrum disorder (ASD) may stem from small sample size, sample heterogeneity, and omitting or linearly adjusting for total brain volume (TBV). To properly adjust for TBV, brain allometry—the nonlinear scaling relationship between regional volumes and TBV—was considered when examining subcortical volumetric differences between typically developing (TD) and ASD individuals. Autism Brain Imaging Data Exchange I (ABIDE I; N = 654) data was analyzed with two methodological approaches: univariate linear mixed effects models and multivariate multiple group confirmatory factor analyses. Analyses were conducted on the entire sample and in subsamples based on age, sex, and full scale intelligence quotient (FSIQ). A similar ABIDE I study was replicated and the impact of different TBV adjustments on neuroanatomical group differences was investigated. No robust subcortical allometric or volumetric group differences were observed in the entire sample across methods. Exploratory analyses suggested that allometric scaling and volume group differences may exist in certain subgroups defined by age, sex, and/or FSIQ. The type of TBV adjustment influenced some reported volumetric and scaling group differences. This study supports the absence of robust volumetric differences between ASD and TD individuals in the investigated volumes when adjusting for brain allometry, expands the literature by finding no group difference in allometric scaling, and further suggests that differing TBV adjustments contribute to the variability of reported neuroanatomical differences in ASD.
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Affiliation(s)
- Camille Michèle Williams
- Laboratoire de Sciences Cognitives et Psycholinguistique, Département d'Etudes Cognitives, École Normale Supérieure, EHESS, CNRS, PSL University, Paris, France
| | - Hugo Peyre
- Laboratoire de Sciences Cognitives et Psycholinguistique, Département d'Etudes Cognitives, École Normale Supérieure, EHESS, CNRS, PSL University, Paris, France.,INSERM UMR 1141, Paris Diderot University, Paris, France.,Department of Child and Adolescent Psychiatry, Robert Debré Hospital, APHP, Paris, France
| | - Roberto Toro
- U1284, Center for Research and Interdisciplinarity (CRI), INSERM, Paris, France.,Unité Mixte de Recherche 3571, Human Genetics and Cognitive Functions, Centre National de la Recherche Scientifique, Institut Pasteur, Paris, France
| | - Anita Beggiato
- Department of Child and Adolescent Psychiatry, Robert Debré Hospital, APHP, Paris, France.,Unité Mixte de Recherche 3571, Human Genetics and Cognitive Functions, Centre National de la Recherche Scientifique, Institut Pasteur, Paris, France
| | - Franck Ramus
- Laboratoire de Sciences Cognitives et Psycholinguistique, Département d'Etudes Cognitives, École Normale Supérieure, EHESS, CNRS, PSL University, Paris, France
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15
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Lukito S, Norman L, Carlisi C, Radua J, Hart H, Simonoff E, Rubia K. Comparative meta-analyses of brain structural and functional abnormalities during cognitive control in attention-deficit/hyperactivity disorder and autism spectrum disorder. Psychol Med 2020; 50:894-919. [PMID: 32216846 PMCID: PMC7212063 DOI: 10.1017/s0033291720000574] [Citation(s) in RCA: 126] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND People with attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have abnormalities in frontal, temporal, parietal and striato-thalamic networks. It is unclear to what extent these abnormalities are distinctive or shared. This comparative meta-analysis aimed to identify the most consistent disorder-differentiating and shared structural and functional abnormalities. METHODS Systematic literature search was conducted for whole-brain voxel-based morphometry (VBM) and functional magnetic resonance imaging (fMRI) studies of cognitive control comparing people with ASD or ADHD with typically developing controls. Regional gray matter volume (GMV) and fMRI abnormalities during cognitive control were compared in the overall sample and in age-, sex- and IQ-matched subgroups with seed-based d mapping meta-analytic methods. RESULTS Eighty-six independent VBM (1533 ADHD and 1295 controls; 1445 ASD and 1477 controls) and 60 fMRI datasets (1001 ADHD and 1004 controls; 335 ASD and 353 controls) were identified. The VBM meta-analyses revealed ADHD-differentiating decreased ventromedial orbitofrontal (z = 2.22, p < 0.0001) but ASD-differentiating increased bilateral temporal and right dorsolateral prefrontal GMV (zs ⩾ 1.64, ps ⩽ 0.002). The fMRI meta-analyses of cognitive control revealed ASD-differentiating medial prefrontal underactivation but overactivation in bilateral ventrolateral prefrontal cortices and precuneus (zs ⩾ 1.04, ps ⩽ 0.003). During motor response inhibition specifically, ADHD relative to ASD showed right inferior fronto-striatal underactivation (zs ⩾ 1.14, ps ⩽ 0.003) but shared right anterior insula underactivation. CONCLUSIONS People with ADHD and ASD have mostly distinct structural abnormalities, with enlarged fronto-temporal GMV in ASD and reduced orbitofrontal GMV in ADHD; and mostly distinct functional abnormalities, which were more pronounced in ASD.
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Affiliation(s)
- Steve Lukito
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Luke Norman
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
- The Social and Behavioral Research Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, Maryland, USA
| | - Christina Carlisi
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Joaquim Radua
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain
- Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Heledd Hart
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Emily Simonoff
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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16
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Building functional connectivity neuromarkers of behavioral self-regulation across children with and without Autism Spectrum Disorder. Dev Cogn Neurosci 2019; 41:100747. [PMID: 31826838 PMCID: PMC6994646 DOI: 10.1016/j.dcn.2019.100747] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 11/25/2019] [Accepted: 12/03/2019] [Indexed: 01/10/2023] Open
Abstract
Behavioral self-regulation develops rapidly during childhood and struggles in this area can have lifelong negative outcomes. Challenges with self-regulation are common to several neurodevelopmental conditions, including Autism Spectrum Disorder (ASD). Little is known about the neural expression of behavioral regulation in children with and without neurodevelopmental conditions. We examined whole-brain brain functional correlations (FC) and behavioral regulation through connectome predictive modelling (CPM). CPM is a data-driven protocol for developing predictive models of brain–behavior relationships and assessing their potential as ‘neuromarkers’ using cross-validation. The data stems from the ABIDE II and comprises 276 children with and without ASD (8–13 years). We identified networks whose FC predicted individual differences in behavioral regulation. These network models predicted novel individuals’ inhibition and shifting from FC data in both a leave-one-out, and split halves, cross-validation. We observed commonalities and differences, with inhibition relying on more posterior networks, shifting relying on more anterior networks, and both involving regions of the DMN. Our findings substantially add to our knowledge on the neural expressions of inhibition and shifting across children with and without a neurodevelopmental condition. Given the numerous behavioral issues that can be quantified dimensionally, refinement of whole-brain neuromarker techniques may prove useful in the future.
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17
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Bos DJ, Silver BM, Barnes ED, Ajodan EL, Silverman MR, Clark-Whitney E, Tarpey T, Jones RM. Adolescent-Specific Motivation Deficits in Autism Versus Typical Development. J Autism Dev Disord 2019; 50:364-372. [PMID: 31625010 DOI: 10.1007/s10803-019-04258-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Differences in motivation during adolescence relative to childhood and adulthood in autism was tested in a cross-sectional study. 156 Typically developing individuals and 79 individuals with autism ages 10-30 years of age completed a go/nogo task with social and non-social cues. To assess age effects, linear and quadratic models were used. Consistent with prior studies, typically developing adolescents and young adults demonstrated more false alarms for positive relative to neutral social cues. In autism, there were no changes in attention across age for social or non-social cues. Findings suggest reduced orienting to motivating cues during late adolescence and early adulthood in autism. The findings provide a unique perspective to explain the challenges for adolescents with autism transitioning to adulthood.
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Affiliation(s)
- Dienke J Bos
- The Sackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA.
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Benjamin M Silver
- The Sackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA
- The Center for Autism and the Developing Brain, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Emily D Barnes
- The Sackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA
- The Center for Autism and the Developing Brain, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Eliana L Ajodan
- The Sackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA
- The Center for Autism and the Developing Brain, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Melanie R Silverman
- The Sackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA
- The Center for Autism and the Developing Brain, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Elysha Clark-Whitney
- The Sackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA
- The Center for Autism and the Developing Brain, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Thaddeus Tarpey
- Division of Biostatistics, Department of Population Health, NYU School of Medicine, 180 Madison Avenue, New York, NY, 10016, USA
| | - Rebecca M Jones
- The Sackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA
- The Center for Autism and the Developing Brain, Department of Psychiatry, Weill Cornell Medicine, New York, NY, 10065, USA
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18
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Cory-Slechta DA, Sobolewski M, Marvin E, Conrad K, Merrill A, Anderson T, Jackson BP, Oberdorster G. The Impact of Inhaled Ambient Ultrafine Particulate Matter on Developing Brain: Potential Importance of Elemental Contaminants. Toxicol Pathol 2019; 47:976-992. [PMID: 31610749 DOI: 10.1177/0192623319878400] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Epidemiological studies report associations between air pollution (AP) exposures and several neurodevelopmental disorders including autism, attention deficit disorder, and cognitive delays. Our studies in mice of postnatal (human third trimester brain equivalent) exposures to concentrated ambient ultrafine particles (CAPs) provide biological plausibility for these associations, producing numerous neuropathological and behavioral features of these disorders, including male-biased vulnerability. These findings raise questions about the specific components of AP that underlie its neurotoxicity, which our studies suggest could involve trace elements as candidate neurotoxicants. X-ray fluorescence analyses of CAP chamber filters confirm contamination of AP exposures by multiple elements, including iron (Fe) and sulfur (S). Correspondingly, laser ablation inductively coupled plasma mass spectrometry of brains of male mice indicates marked postexposure elevations of Fe and S and other elements. Elevations of brain Fe and S in particular are consistent with potential ferroptotic, oxidative stress, and altered antioxidant capacity-based mechanisms of CAPs-induced neurotoxicity, supported by observations of increased serum oxidized glutathione and increased neuronal cell death in nucleus accumbens with no corresponding significant increase in caspase-3, in male brains following postnatal CAP exposures. Understanding the role of trace element contaminants of particulate matter AP as a source of neurotoxicity is critical for public health protection.
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Affiliation(s)
| | - Marissa Sobolewski
- Department of Environmental Medicine, University of Rochester Medical Center, NY, USA
| | - Elena Marvin
- Department of Environmental Medicine, University of Rochester Medical Center, NY, USA
| | - Katherine Conrad
- Department of Environmental Medicine, University of Rochester Medical Center, NY, USA
| | - Alyssa Merrill
- Department of Environmental Medicine, University of Rochester Medical Center, NY, USA
| | - Tim Anderson
- Department of Environmental Medicine, University of Rochester Medical Center, NY, USA
| | - Brian P Jackson
- Department of Earth Sciences, Dartmouth College, Hanover, NH, USA
| | - Gunter Oberdorster
- Department of Environmental Medicine, University of Rochester Medical Center, NY, USA
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19
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Latinus M, Cléry H, Andersson F, Bonnet-Brilhault F, Fonlupt P, Gomot M. Inflexibility in Autism Spectrum Disorder: Need for certainty and atypical emotion processing share the blame. Brain Cogn 2019; 136:103599. [PMID: 31536931 DOI: 10.1016/j.bandc.2019.103599] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 06/24/2019] [Indexed: 12/31/2022]
Abstract
Although ASD (Autism Spectrum Disorder) diagnosis requires the co-occurrence of socio-emotional deficits and inflexible behaviors, the interaction between these two domains remains unexplored. We used an emotional Wisconsin Card Sorting Test adapted to fMRI to explore this question. ASD and control participants matched a central card (a face) with one of four surrounding cards according to one of three rules: frame color, facial identity or expression. Feedback informed participants on whether to change or maintain the current sorting rule. For each rule, we modeled feedback onsets to change, switch (confirming the newly found rule) and maintenance events. "Bias error", which measures participants' willingness to switch, was larger in ASD participants for the emotional sorting rule. Brain activity to change events showed no group differences. In response to switch events significantly larger activity was observed for ASD participants in bilateral Inferior Parietal Sulci. Inflexibility in ASD appears characterized by the unwillingness to switch toward processing socio-emotional information, rather than a major disruption in cognitive flexibility. However, a larger activity to switch events in ASD highlights the need for a higher level of certainty before setting into a stable processing stage, which may be particularly detrimental in the highly changeable socio-emotional environment.
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Affiliation(s)
| | - Helen Cléry
- UMR1253, iBrain, Université de Tours, Inserm, Tours, France
| | | | - Frédérique Bonnet-Brilhault
- UMR1253, iBrain, Université de Tours, Inserm, Tours, France; Centre Universitaire de Pédopsychiatrie, CHRU de Tours, Tours, France
| | - Pierre Fonlupt
- INSERM U1028-CNRS UMR5292 'Brain Dynamics and Cognition', Centre de Recherche en Neurosciences de Lyon, Lyon, France
| | - Marie Gomot
- UMR1253, iBrain, Université de Tours, Inserm, Tours, France
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20
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Gale CM, Eikeseth S, Klintwall L. Children with Autism show Atypical Preference for Non-social Stimuli. Sci Rep 2019; 9:10355. [PMID: 31316161 PMCID: PMC6637109 DOI: 10.1038/s41598-019-46705-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 06/27/2019] [Indexed: 12/12/2022] Open
Abstract
The present investigation describes three studies testing the hypothesis that children with Autism Spectrum Disorder (ASD) show an atypical preference for non-social stimuli. Preference for non-social and social stimuli was assessed using applications on a portable tablet computer. Twenty-eight children with ASD were matched on developmental age with the chronological age of 41 typically developing (TD) children. The non-social stimuli consisted of six different films of abstract moving geometric patterns. Social stimuli were six different films of the face of young adults (Study 1 and 3) or six films of different dogs' faces (Study 2). When given a choice between the non-social and social stimuli, children with ASD preferred the non-social stimuli. When the human faces were replaced with dogs' faces the participants with ASD continued to prefer the non-social stimuli. A high reinforcement value of non-social stimuli was also demonstrated when the non-social stimuli were presented alone, suggesting the preference for the non-social stimuli was not simply an avoidance of social stimuli. Whenever an infant prefers non-social stimuli over social stimuli, non-typical development in social communication and social interests may result, together with the development of high levels and frequently occurring stereotyped and repetitive behavior. These behaviors define Autism.
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Affiliation(s)
- Catherine M Gale
- Department of Behavioral Science, Oslo Metropolitan University, Oslo, Norway
| | - Svein Eikeseth
- Department of Behavioral Science, Oslo Metropolitan University, Oslo, Norway.
| | - Lars Klintwall
- Department of Psychology, Stockholm University, Stockholm, Sweden
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21
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Uratani M, Ota T, Iida J, Okazaki K, Yamamuro K, Nakanishi Y, Kishimoto N, Kishimoto T. Reduced prefrontal hemodynamic response in pediatric autism spectrum disorder measured with near-infrared spectroscopy. Child Adolesc Psychiatry Ment Health 2019; 13:29. [PMID: 31297147 PMCID: PMC6599245 DOI: 10.1186/s13034-019-0289-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Accepted: 06/22/2019] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Functional neuroimaging studies suggest that prefrontal cortex dysfunction is present in people with autism spectrum disorder (ASD). Near-infrared spectroscopy is a noninvasive optical tool for examining oxygenation and hemodynamic changes in the cerebral cortex by measuring changes in oxygenated hemoglobin. METHODS Twelve drug-naïve male participants, aged 7-15 years and diagnosed with ASD according to DSM-5 criteria, and 12 age- and intelligence quotient (IQ)-matched healthy control males participated in the present study after giving informed consent. Relative concentrations of oxyhemoglobin were measured with frontal probes every 0.1 s during the Stroop color-word task, using 24-channel near-infrared spectroscopy. RESULTS Oxyhemoglobin changes during the Stroop color-word task in the ASD group were significantly smaller than those in the control group at channels 12 and 13, located over the dorsolateral prefrontal cortex (FDR-corrected P: 0.0021-0.0063). CONCLUSION The results suggest that male children with ASD have reduced prefrontal hemodynamic responses, measured with near-infrared spectroscopy.
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Affiliation(s)
| | - Toyosaku Ota
- 0000 0004 0372 782Xgrid.410814.8Department of Psychiatry, Nara Medical University, 840 Shijyo-cho, Kashihara, Nara 634-8522 Japan
| | - Junzo Iida
- 0000 0004 0372 782Xgrid.410814.8Faculty of Nursing, Nara Medical University, Kashihara, Japan
| | - Kosuke Okazaki
- 0000 0004 0372 782Xgrid.410814.8Department of Psychiatry, Nara Medical University, 840 Shijyo-cho, Kashihara, Nara 634-8522 Japan
| | - Kazuhiko Yamamuro
- 0000 0004 0372 782Xgrid.410814.8Department of Psychiatry, Nara Medical University, 840 Shijyo-cho, Kashihara, Nara 634-8522 Japan
| | - Yoko Nakanishi
- 0000 0004 0372 782Xgrid.410814.8Department of Psychiatry, Nara Medical University, 840 Shijyo-cho, Kashihara, Nara 634-8522 Japan
| | - Naoko Kishimoto
- 0000 0004 0372 782Xgrid.410814.8Department of Psychiatry, Nara Medical University, 840 Shijyo-cho, Kashihara, Nara 634-8522 Japan
| | - Toshifumi Kishimoto
- 0000 0004 0372 782Xgrid.410814.8Department of Psychiatry, Nara Medical University, 840 Shijyo-cho, Kashihara, Nara 634-8522 Japan
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22
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Bos DJ, Silverman MR, Ajodan EL, Martin C, Silver BM, Brouwer GJ, Di Martino A, Jones RM. Rigidity coincides with reduced cognitive control to affective cues in children with autism. JOURNAL OF ABNORMAL PSYCHOLOGY 2019; 128:431-441. [PMID: 31045398 DOI: 10.1037/abn0000423] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The present study tested whether salient affective cues would negatively influence cognitive control in children with and without autism spectrum disorder (ASD). One hundred children aged 6-12 years who were either typically developing or had ASD performed a novel go/no-go task to cues of their interest versus cues of noninterest. Linear mixed-effects (LME) models for hit rate, false alarms, and the sensitivity index d' were used to test for group differences. Caregivers completed the Repetitive Behavior Scale-Revised to test associations between repetitive behaviors and task performance. Children with ASD had reduced cognitive control toward their interests compared with typically developing children. Further, children with ASD showed reduced cognitive control to interests compared with noninterests, a pattern not observed in typically developing children. Decreased cognitive control toward interests was associated with higher insistence on sameness behavior in ASD, but there was no association between sameness behavior and cognitive control for noninterests. Together, children with ASD demonstrated decreased cognitive flexibility in the context of increased affective salience related to interests. These results provide a mechanism for how salient affective cues, such as interests, interfere with daily functioning and social communication in ASD. Further, the findings have broader clinical implications for understanding how affective cues can drive interactions between restricted patterns of behavior and cognitive control. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
- Dienke J Bos
- Sackler Institute for Developmental Psychobiology
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23
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Nomi JS, Molnar-Szakacs I, Uddin LQ. Insular function in autism: Update and future directions in neuroimaging and interventions. Prog Neuropsychopharmacol Biol Psychiatry 2019; 89:412-426. [PMID: 30381235 DOI: 10.1016/j.pnpbp.2018.10.015] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 10/15/2018] [Accepted: 10/26/2018] [Indexed: 12/13/2022]
Abstract
The insular cortex, hidden within the lateral sulcus of the human brain, participates in a range of cognitive, affective, and sensory functions. Autism spectrum disorder (ASD), a neurodevelopmental condition affecting all of these functional domains, has increasingly been linked with atypical activation and connectivity of the insular cortices. Here we review the latest research linking atypical insular function to a range of behaviors characteristic of ASD, with an emphasis on neuroimaging findings in the domains of social cognition and executive function. We summarize some of the recent work linking the insula to interventions in autism, including oxytocin-based pharmacological treatments and music therapy. We suggest that future directions likely to yield significant insights into insular pathology in ASD include the analysis of the dynamics of this brain region. We also conclude that more basic research is necessary on the use of oxytocin pharmacotherapy, and larger studies addressing participant heterogeneity are needed on the use of music therapy in ASD. Long-term studies are needed to ascertain sustained effects of these interventions.
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Affiliation(s)
- Jason S Nomi
- Department of Psychology, University of Miami, Coral Gables, FL, USA.
| | | | - Lucina Q Uddin
- Department of Psychology, University of Miami, Coral Gables, FL, USA; Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL, USA; Canadian Institute for Advanced Research, Toronto, ON, Canada.
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24
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Rotaru DC, van Woerden GM, Wallaard I, Elgersma Y. Adult Ube3a Gene Reinstatement Restores the Electrophysiological Deficits of Prefrontal Cortex Layer 5 Neurons in a Mouse Model of Angelman Syndrome. J Neurosci 2018; 38:8011-8030. [PMID: 30082419 PMCID: PMC6596147 DOI: 10.1523/jneurosci.0083-18.2018] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 07/13/2018] [Accepted: 07/20/2018] [Indexed: 11/21/2022] Open
Abstract
E3 ubiquitin ligase (UBE3A) levels in the brain need to be tightly regulated, as loss of functional UBE3A protein is responsible for the severe neurodevelopmental disorder Angelman syndrome (AS), whereas increased activity of UBE3A is associated with nonsyndromic autism. Given the role of mPFC in neurodevelopmental disorders including autism, we aimed to identify the functional changes resulting from loss of UBE3A in infralimbic and prelimbic mPFC areas in a mouse model of AS. Whole-cell recordings from layer 5 mPFC pyramidal neurons obtained in brain slices from adult mice of both sexes revealed that loss of UBE3A results in a strong decrease of spontaneous inhibitory transmission and increase of spontaneous excitatory transmission potentially leading to a marked excitation/inhibition imbalance. Additionally, we found that loss of UBE3A led to decreased excitability and increased threshold for action potential of layer 5 fast spiking interneurons without significantly affecting the excitability of pyramidal neurons. Because we previously showed that AS mouse behavioral phenotypes are reversible upon Ube3a gene reactivation during a restricted period of early postnatal development, we investigated whether Ube3a gene reactivation in a fully mature brain could reverse any of the identified physiological deficits. In contrast to our previously reported behavioral findings, restoring UBE3A levels in adult animals fully rescued all the identified physiological deficits of mPFC neurons. Moreover, the kinetics of reversing these synaptic deficits closely followed the reinstatement of UBE3A protein level. Together, these findings show a striking dissociation between the rescue of behavioral and physiological deficits.SIGNIFICANCE STATEMENT Here we describe significant physiological deficits in the mPFC of an Angelman syndrome mouse model. We found a marked change in excitatory/inhibitory balance, as well as decreased excitability of fast spiking interneurons. A promising treatment strategy for Angelman syndrome is aimed at restoring UBE3A expression by activating the paternal UBE3A gene. Here we find that the physiological changes in the mPFC are fully reversible upon gene reactivation, even when the brain is fully mature. This indicates that there is no critical developmental window for reversing the identified physiological deficits in mPFC.
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Affiliation(s)
- Diana C Rotaru
- Department of Neuroscience and ENCORE Center for Neurodevelopmental Disorders, Erasmus University Medical Center, Wytemaweg 80, 3015 CN Rotterdam, The Netherlands
| | - Geeske M van Woerden
- Department of Neuroscience and ENCORE Center for Neurodevelopmental Disorders, Erasmus University Medical Center, Wytemaweg 80, 3015 CN Rotterdam, The Netherlands
| | - Ilse Wallaard
- Department of Neuroscience and ENCORE Center for Neurodevelopmental Disorders, Erasmus University Medical Center, Wytemaweg 80, 3015 CN Rotterdam, The Netherlands
| | - Ype Elgersma
- Department of Neuroscience and ENCORE Center for Neurodevelopmental Disorders, Erasmus University Medical Center, Wytemaweg 80, 3015 CN Rotterdam, The Netherlands
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Khalil R, Tindle R, Boraud T, Moustafa AA, Karim AA. Social decision making in autism: On the impact of mirror neurons, motor control, and imitative behaviors. CNS Neurosci Ther 2018; 24:669-676. [PMID: 29963752 PMCID: PMC6055683 DOI: 10.1111/cns.13001] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Revised: 06/02/2018] [Accepted: 06/07/2018] [Indexed: 11/30/2022] Open
Abstract
The Mirror Neuron System (MNS) plays a crucial role in action perception and imitative behavior, which is suggested to be impaired in Autism Spectrum Disorders (ASDs). In this review, we discuss the plausibility and empirical evidence of a neural interaction between the MNS, action perception, empathy, imitative behavior, and their impact on social decision making in ASDs. To date, there is no consensus regarding a particular theory in ASDs and its underlying mechanisms. Some theories have completely focused on social difficulties, others have emphasized sensory aspects. Based on the current studies, we suggest a multilayer neural network model including the MNS on a first layer and transforming this information to a higher layer network responsible for reasoning. Future studies with ASD participants combining behavioral tasks with neuroimaging methods and transcranial brain stimulation as well as computational modeling can help validate and complement this suggested model. Moreover, we propose applying the behavioral paradigms, and the neurophysiological markers mentioned in this review article for evaluating psychiatric treatment approaches in ASDs. The investigation of modulating effects of different treatment approaches on the neurophysiological markers of the MNS can help find specific subgroups of ASDs patients and support tailored psychiatric interventions.
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Affiliation(s)
- Radwa Khalil
- Department of Psychology and MethodsJacobs University BremenBremenGermany
- Department of Prevention and Health PsychologySRH Mobile UniversityRiedlingenGermany
| | - Richard Tindle
- CanTeenResearch Evaluation and Social PolicySydneyNSWAustralia
| | - Thomas Boraud
- Institute of Neurodegenerative DiseasesCNRS UMR‐5293University of BordeauxBordeauxFrance
| | - Ahmed A. Moustafa
- Marcs Institute for Brain and BehaviorWestern Sydney UniversitySydneyNSWAustralia
| | - Ahmed A. Karim
- Department of Prevention and Health PsychologySRH Mobile UniversityRiedlingenGermany
- Department of Psychiatry and PsychotherapyUniversity of TübingenTübingenGermany
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26
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How socioemotional setting modulates late-stage conflict resolution processes in the lateral prefrontal cortex. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2018; 18:521-535. [DOI: 10.3758/s13415-018-0585-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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27
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van Rooij D, Anagnostou E, Arango C, Auzias G, Behrmann M, Busatto GF, Calderoni S, Daly E, Deruelle C, Di Martino A, Dinstein I, Duran FLS, Durston S, Ecker C, Fair D, Fedor J, Fitzgerald J, Freitag CM, Gallagher L, Gori I, Haar S, Hoekstra L, Jahanshad N, Jalbrzikowski M, Janssen J, Lerch J, Luna B, Martinho MM, McGrath J, Muratori F, Murphy CM, Murphy DG, O’Hearn K, Oranje B, Parellada M, Retico A, Rosa P, Rubia K, Shook D, Taylor M, Thompson PM, Tosetti M, Wallace GL, Zhou F, Buitelaar JK. Cortical and Subcortical Brain Morphometry Differences Between Patients With Autism Spectrum Disorder and Healthy Individuals Across the Lifespan: Results From the ENIGMA ASD Working Group. Am J Psychiatry 2018; 175:359-369. [PMID: 29145754 PMCID: PMC6546164 DOI: 10.1176/appi.ajp.2017.17010100] [Citation(s) in RCA: 283] [Impact Index Per Article: 47.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Neuroimaging studies show structural differences in both cortical and subcortical brain regions in children and adults with autism spectrum disorder (ASD) compared with healthy subjects. Findings are inconsistent, however, and it is unclear how differences develop across the lifespan. The authors investigated brain morphometry differences between individuals with ASD and healthy subjects, cross-sectionally across the lifespan, in a large multinational sample from the Enhancing Neuroimaging Genetics Through Meta-Analysis (ENIGMA) ASD working group. METHOD The sample comprised 1,571 patients with ASD and 1,651 healthy control subjects (age range, 2-64 years) from 49 participating sites. MRI scans were preprocessed at individual sites with a harmonized protocol based on a validated automated-segmentation software program. Mega-analyses were used to test for case-control differences in subcortical volumes, cortical thickness, and surface area. Development of brain morphometry over the lifespan was modeled using a fractional polynomial approach. RESULTS The case-control mega-analysis demonstrated that ASD was associated with smaller subcortical volumes of the pallidum, putamen, amygdala, and nucleus accumbens (effect sizes [Cohen's d], 0.13 to -0.13), as well as increased cortical thickness in the frontal cortex and decreased thickness in the temporal cortex (effect sizes, -0.21 to 0.20). Analyses of age effects indicate that the development of cortical thickness is altered in ASD, with the largest differences occurring around adolescence. No age-by-ASD interactions were observed in the subcortical partitions. CONCLUSIONS The ENIGMA ASD working group provides the largest study of brain morphometry differences in ASD to date, using a well-established, validated, publicly available analysis pipeline. ASD patients showed altered morphometry in the cognitive and affective parts of the striatum, frontal cortex, and temporal cortex. Complex developmental trajectories were observed for the different regions, with a developmental peak around adolescence. These findings suggest an interplay in the abnormal development of the striatal, frontal, and temporal regions in ASD across the lifespan.
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Affiliation(s)
- Daan van Rooij
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Evdokia Anagnostou
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Celso Arango
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Guillaume Auzias
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Marlene Behrmann
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Geraldo F. Busatto
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Sara Calderoni
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Eileen Daly
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Christine Deruelle
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Adriana Di Martino
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Ilan Dinstein
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Fabio Luis Souza Duran
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Sarah Durston
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Christine Ecker
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Damien Fair
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Jennifer Fedor
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Jackie Fitzgerald
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Christine M. Freitag
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Louise Gallagher
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Ilaria Gori
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Shlomi Haar
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Liesbeth Hoekstra
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Neda Jahanshad
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Maria Jalbrzikowski
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Joost Janssen
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Jason Lerch
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Beatriz Luna
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Mauricio Moller Martinho
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Jane McGrath
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Filippo Muratori
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Clodagh M. Murphy
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Declan G.M. Murphy
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Kirsten O’Hearn
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Bob Oranje
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Mara Parellada
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Alessandra Retico
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Pedro Rosa
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Katya Rubia
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Devon Shook
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Margot Taylor
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Paul M. Thompson
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Michela Tosetti
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Gregory L. Wallace
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Fengfeng Zhou
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
| | - Jan K. Buitelaar
- From the Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behavior, Donders Center for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands; the Karakter Child and Adolescent Psychiatry University Center, Nijmegen; the Bloorview Research Institute, University of Toronto, Toronto; the Child and Adolescent Psychiatry Department, Gregorio Marañón General University Hospital, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid
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Carlisi CO, Norman LJ, Lukito SS, Radua J, Mataix-Cols D, Rubia K. Comparative Multimodal Meta-analysis of Structural and Functional Brain Abnormalities in Autism Spectrum Disorder and Obsessive-Compulsive Disorder. Biol Psychiatry 2017; 82:83-102. [PMID: 27887721 DOI: 10.1016/j.biopsych.2016.10.006] [Citation(s) in RCA: 125] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 10/03/2016] [Accepted: 10/05/2016] [Indexed: 01/17/2023]
Abstract
BACKGROUND Autism spectrum disorder (ASD) and obsessive-compulsive disorder (OCD) share inhibitory control deficits possibly underlying poor control over stereotyped and repetitive and compulsive behaviors, respectively. However, it is unclear whether these symptom profiles are mediated by common or distinct neural profiles. This comparative multimodal meta-analysis assessed shared and disorder-specific neuroanatomy and neurofunction of inhibitory functions. METHODS A comparative meta-analysis of 62 voxel-based morphometry and 26 functional magnetic resonance imaging (fMRI) studies of inhibitory control was conducted comparing gray matter volume and activation abnormalities between patients with ASD (structural MRI: 911; fMRI: 188) and OCD (structural MRI: 928; fMRI: 247) and control subjects. Multimodal meta-analysis compared groups across voxel-based morphometry and fMRI. RESULTS Both disorders shared reduced function and structure in the rostral and dorsomedial prefrontal cortex including the anterior cingulate. OCD patients had a disorder-specific increase in structure and function of left basal ganglia (BG) and insula relative to control subjects and ASD patients, who had reduced right BG and insula volumes versus OCD patients. In fMRI, ASD patients showed disorder-specific reduced left dorsolateral-prefrontal activation and reduced posterior cingulate deactivation, whereas OCD patients showed temporoparietal underactivation. CONCLUSIONS The multimodal comparative meta-analysis shows shared and disorder-specific abnormalities. Whereas the rostrodorsomedial prefrontal cortex was smaller in structure and function in both disorders, this was concomitant with increased structure and function in BG and insula in OCD patients, but a reduction in ASD patients, presumably reflecting a disorder-specific frontostriatoinsular dysregulation in OCD in the form of poor frontal control over overactive BG, and a frontostriatoinsular maldevelopment in ASD with reduced structure and function in this network. Disorder-differential mechanisms appear to drive overlapping phenotypes of inhibitory control abnormalities in patients with ASD and OCD.
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Affiliation(s)
- Christina O Carlisi
- Department of Child and Adolescent Psychiatry Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
| | - Luke J Norman
- Department of Child and Adolescent Psychiatry Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
| | - Steve S Lukito
- Department of Child and Adolescent Psychiatry Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
| | - Joaquim Radua
- Department of Psychosis Studies, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden; FIDMAG Germanes Hospitalàries, CIBERSAM, Barcelona, Spain
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom.
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29
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Velasquez F, Qin XA, Reilly MA, Neuhaus E, Estes A, Aylward E, Kleinhans NM. Neural correlates of emotional inhibitory control in autism spectrum disorders. RESEARCH IN DEVELOPMENTAL DISABILITIES 2017; 64:64-77. [PMID: 28359873 DOI: 10.1016/j.ridd.2017.03.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 02/09/2017] [Accepted: 03/15/2017] [Indexed: 06/07/2023]
Abstract
Atypical inhibitory function is often present in individuals with autism spectrum disorder (ASD), who may have difficulty suppressing context-inappropriate behaviors. We investigated the neural correlates of inhibition in ASD in response to both emotional and non-emotional stimuli using an fMRI Go/NoGo inhibition task with human faces and letters. We also related neural activation to behavioral dysfunction in ASD. Our sample consisted of 19 individuals with ASD (mean age=25.84) and 22 typically developing (TD) control participants (mean age=29.03). As expected, no group differences in task performance (inhibition accuracy and response time) were found. However, adults with ASD exhibited greater angular gyrus activation in face response inhibition blocks, as well as greater fusiform gyrus activation than controls, in a condition comparing face inhibition to letter inhibition. In contrast, control participants yielded significantly greater anterior cingulate cortex (ACC) activation in letter inhibition blocks. A positive relationship between communication and language impairment and angular gyrus activation during face inhibition was also found. Group activation differences during inhibition tasks in the context of comparable task performance and the relationship between activation and dysfunction highlight brain regions that may be related to ASD-specific dysfunction.
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Affiliation(s)
- Francisco Velasquez
- Department of Radiology, University of Washington, Seattle, WA, USA; Integrative Brain Imaging Center, University of Washington, Seattle, WA, USA.
| | - Xiaoyan Angela Qin
- Department of Radiology, University of Washington, Seattle, WA, USA; Integrative Brain Imaging Center, University of Washington, Seattle, WA, USA
| | - Melissa A Reilly
- Department of Radiology, University of Washington, Seattle, WA, USA; Integrative Brain Imaging Center, University of Washington, Seattle, WA, USA
| | - Emily Neuhaus
- Autism Center, University of Washington, Seattle, WA, USA; Seattle Children's Research Institute, Seattle, WA, USA
| | - Annette Estes
- Autism Center, University of Washington, Seattle, WA, USA; Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | | | - Natalia M Kleinhans
- Department of Radiology, University of Washington, Seattle, WA, USA; Integrative Brain Imaging Center, University of Washington, Seattle, WA, USA; Autism Center, University of Washington, Seattle, WA, USA
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30
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Yao Z, Hu B, Xie Y, Zheng F, Liu G, Chen X, Zheng W. Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism. Front Hum Neurosci 2016; 10:463. [PMID: 27695408 PMCID: PMC5025431 DOI: 10.3389/fnhum.2016.00463] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 09/01/2016] [Indexed: 11/13/2022] Open
Abstract
Recently, studies based on time-varying functional connectivity have unveiled brain states diversity in some neuropsychiatric disorders, such as schizophrenia and major depressive disorder. However, time-varying functional connectivity analysis of resting-state functional Magnetic Resonance Imaging (fMRI) have been rarely performed on the Autism Spectrum Disorder (ASD). Hence, we performed time-varying connectivity analysis on resting-state fMRI data to investigate brain states mutation in ASD children. ASD showed an imbalance of connectivity state and aberrant ratio of connectivity with different strengths in the whole brain network, and decreased connectivity associated precuneus/posterior cingulate gyrus with medial prefrontal gyrus in default mode network. As compared to typical development children, weak relevance condition (the strength of a large number of connectivities in the state was less than means minus standard deviation of all connection strength) was maintained for a longer time between brain areas of ASD children, and ratios of weak connectivity in brain states varied dramatically in the ASD. In the ASD, the abnormal brain state might be related to repetitive behaviors and stereotypical interests, and macroscopically reflect disruption of gamma-aminobutyric acid at the cellular level. The detection of brain states based on time-varying functional connectivity analysis of resting-state fMRI might be conducive for diagnosis and early intervention of ASD before obvious clinical symptoms.
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Affiliation(s)
- Zhijun Yao
- Ubiquitous Awareness and Intelligent Solutions Lab, School of Information Science and Engineering, Lanzhou University Lanzhou, China
| | - Bin Hu
- Ubiquitous Awareness and Intelligent Solutions Lab, School of Information Science and Engineering, Lanzhou University Lanzhou, China
| | - Yuanwei Xie
- Ubiquitous Awareness and Intelligent Solutions Lab, School of Information Science and Engineering, Lanzhou University Lanzhou, China
| | - Fang Zheng
- Ubiquitous Awareness and Intelligent Solutions Lab, School of Information Science and Engineering, Lanzhou University Lanzhou, China
| | - Guangyao Liu
- Department of Magnetic Resonance, Lanzhou University Second Hospital Lanzhou, China
| | - Xuejiao Chen
- Ubiquitous Awareness and Intelligent Solutions Lab, School of Information Science and Engineering, Lanzhou University Lanzhou, China
| | - Weihao Zheng
- Ubiquitous Awareness and Intelligent Solutions Lab, School of Information Science and Engineering, Lanzhou University Lanzhou, China
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31
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Tamm G, Kreegipuu K, Harro J. Perception of emotion in facial stimuli: The interaction of ADRA2A and COMT genotypes, and sex. Prog Neuropsychopharmacol Biol Psychiatry 2016; 64:87-95. [PMID: 26234518 DOI: 10.1016/j.pnpbp.2015.07.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Revised: 07/24/2015] [Accepted: 07/27/2015] [Indexed: 11/19/2022]
Abstract
Emotional facial stimuli are important social signals that are essential to be perceived and recognized in order to make appropriate decisions and responses in everyday communication. The ability to voluntarily guide attention to perceive and recognize emotions, and react to them varies largely across individuals, and has a strong genetic component (Friedman et al., 2008). Two key genetic variants of the catecholamine system that have been related to emotion perception and attention are the catechol-O-methyl transferase genetic variant (COMT Val158Met) and the α2A-receptor gene promoter polymorphism (ADRA2A C-1291G) accordingly. So far, the interaction of the two with sex in emotion perception has not been studied. Multilevel modeling method was applied to study how COMT Val158Met, ADRA2A C-1291G and sex are associated with measures of emotion perception in a large sample of young adults. Participants (n=506) completed emotion recognition and behavioral emotion detection tasks. It was found that COMT Val158Met genotype in combination with the ADRA2A C-1291G and sex predicts emotion detection, and perception of valence and arousal. In simple visual detection, the ADRA2A C-1291G G-allele leads to slower detection of a highly arousing face (scheming), which is modulated by each additional COMT Val158Met Met-allele and male sex predicting faster responses. The combination of G-allele, Met-allele and male sex also predicts higher perceived negativity in sad faces. No effects of C-1291G, Val158Met, and sex were found on verbal emotion recognition. Applying the findings to study the interplay between catecholamine-O-methyl transferase activity and α2A-receptors in emotion perception disorders (such as ADHD, autism and schizophrenia) in men and women would be the next step towards understanding individual differences in emotion perception.
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Affiliation(s)
- Gerly Tamm
- Department of Psychology, University of Tartu, Näituse-2, Tartu 50409 Estonia.
| | - Kairi Kreegipuu
- Department of Psychology, University of Tartu, Näituse-2, Tartu 50409 Estonia
| | - Jaanus Harro
- Department of Psychology, University of Tartu, Näituse-2, Tartu 50409 Estonia
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Stephenson KG, Quintin EM, South M. Age-Related Differences in Response to Music-Evoked Emotion Among Children and Adolescents with Autism Spectrum Disorders. J Autism Dev Disord 2015; 46:1142-51. [DOI: 10.1007/s10803-015-2624-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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