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Hua Z, Hu J, Zeng H, Li J, Cao Y, Gan Y. Auditory language comprehension among children and adolescents with autism spectrum disorder: An ALE meta-analysis of fMRI studies. Autism Res 2024; 17:482-496. [PMID: 38031655 DOI: 10.1002/aur.3055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023]
Abstract
Difficulties in auditory language comprehension are common among children and adolescents with autism spectrum disorder. However, findings regarding the underlying neural mechanisms remain mixed, and few studies have systematically explored the overall patterns of these findings. Therefore, this study aims to systematically review and meta-analyze the functional magnetic resonance imaging evidence of neural activation patterns while engaging in auditory language comprehension tasks among children and adolescents with autism. Using activation likelihood estimation, we conducted a series of meta-analyses to investigate neural activation patterns during auditory language comprehension tasks compared to baseline conditions in autism and non-autism groups and compared the activation patterns of the groups, respectively. Eight studies were included in the within-group analyses, and seven were included in the between-group analysis. The within-group analyses revealed that the bilateral superior temporal gyrus was activated during auditory language comprehension tasks in both groups, whereas the left superior frontal gyrus and dorsal medial prefrontal cortex were activated only in the non-autism group. Furthermore, the between-group analysis showed that children and adolescents with autism, compared to those without autism, showed reduced activation in the right superior temporal gyrus, left middle temporal gyrus, and insula, whereas the autism group did not show increased activation in any of the regions relative to the non-autism group. Overall, these findings contribute to our understanding of the potential neural mechanisms underlying difficulties in auditory language comprehension in children and adolescents with autism and provide practical implications for early screening and language-related interventions for children and adolescents with autism.
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Affiliation(s)
- Zihui Hua
- School of Psychological and Cognitive Sciences & Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Jun Hu
- School of Psychological and Cognitive Sciences & Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Huanke Zeng
- School of Psychological and Cognitive Sciences & Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Jiahui Li
- School of Psychological and Cognitive Sciences & Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Yibo Cao
- School of Psychological and Cognitive Sciences & Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Yiqun Gan
- School of Psychological and Cognitive Sciences & Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
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2
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Nichols ES, Blumenthal A, Kuenzel E, Skinner JK, Duerden EG. Hippocampus long-axis specialization throughout development: A meta-analysis. Hum Brain Mapp 2023. [PMID: 37209288 DOI: 10.1002/hbm.26340] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 05/22/2023] Open
Abstract
The human adult hippocampus can be subdivided into the head, or anterior hippocampus and its body and tail, or posterior hippocampus, and a wealth of functional differences along the longitudinal axis have been reported. One line of literature emphasizes specialization for different aspects of cognition, whereas another emphasizes the unique role of the anterior hippocampus in emotional processing. While some research suggests that functional differences in memory between the anterior and posterior hippocampus appear early in development, it remains unclear whether this is also the case for functional differences in emotion processing. The goal of this meta-analysis was to determine whether the long-axis functional specialization observed in adults is present earlier in development. Using a quantitative meta-analysis, long-axis functional specialization was assessed using the data from 26 functional magnetic resonance imaging studies, which included 39 contrasts and 804 participants ranging in age from 4 to 21 years. Results indicated that emotion was more strongly localized to the anterior hippocampus, with memory being more strongly localized to the posterior hippocampus, demonstrating long-axis specialization with regard to memory and emotion in children similar to that seen in adults. An additional analysis of laterality indicated that while memory was left dominant, emotion was processed bilaterally.
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Affiliation(s)
- Emily S Nichols
- Faculty of Education, Western University, London, Canada
- Western Institute for Neuroscience, Western University, London, Canada
| | - Anna Blumenthal
- Cervo Brain Research Centre, Université Laval, Quebec, Canada
| | | | | | - Emma G Duerden
- Faculty of Education, Western University, London, Canada
- Western Institute for Neuroscience, Western University, London, Canada
- Pediatrics, Schulich School of Medicine & Dentistry, Western University, London, Canada
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3
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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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4
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Brooks PJ, Gaggi NL, Ploog BO. Generalization of content and emotional prosody across speakers varying in gender in youth with Autism Spectrum Disorder. RESEARCH IN DEVELOPMENTAL DISABILITIES 2018; 83:57-68. [PMID: 30142574 DOI: 10.1016/j.ridd.2018.08.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 08/06/2018] [Accepted: 08/08/2018] [Indexed: 06/08/2023]
Abstract
AIMS We employed a discrimination-choice procedure, embedded in a custom-made videogame, to evaluate whether youth with Autism Spectrum Disorder (ASD), including nonverbal individuals, distinguish sentences on the basis of emotional tone-of-voice and generalize linguistic information across speaker gender. METHODS AND PROCEDURES Thirteen youth with ASD (7-21 years) and 13 age-matched typical controls heard pairs of pre-recorded sentences varying in lexical content and prosody (e.g., enthusiastic "Dave rode a bike'' vs. grouchy "Mark held a key''). After training to select a target sentence, participants heard test probes comprising re-combinations of the content and prosodic features of the sentences. Interspersed generalization trials used a voice opposite in gender to the voice used in training. OUTCOMES AND RESULTS Youth with ASD were less accurate than controls in discriminating sentences based on emotional tone-of-voice. Nonverbal and verbal youth did not differ in this regard. The ASD group showed only slight decrements in generalizing to the opposite-gender voice. CONCLUSIONS AND IMPLICATIONS The finding of intact generalization of linguistic information across male/female speakers contrasts with the widely held view that autism is characterized by deficits in generalization. This suggests the need to test generalization under varying task demands to identify limits on performance.
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Affiliation(s)
- Patricia J Brooks
- College of Staten Island and The Graduate Center, CUNY, United States.
| | - Naomi L Gaggi
- College of Staten Island and The Graduate Center, CUNY, United States
| | - Bertram O Ploog
- College of Staten Island and The Graduate Center, CUNY, United States
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5
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Waddington F, Hartman C, de Bruijn Y, Lappenschaar M, Oerlemans A, Buitelaar J, Franke B, Rommelse N. An emotion recognition subtyping approach to studying the heterogeneity and comorbidity of autism spectrum disorders and attention-deficit/hyperactivity disorder. J Neurodev Disord 2018; 10:31. [PMID: 30442088 PMCID: PMC6238263 DOI: 10.1186/s11689-018-9249-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 10/31/2018] [Indexed: 11/10/2022] Open
Abstract
Background Emotion recognition dysfunction has been reported in both autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). This suggests that emotion recognition is a cross-disorder trait that may be utilised to understand the heterogeneous psychopathology of ASD and ADHD. We aimed to identify emotion recognition subtypes and to examine their relation with quantitative and diagnostic measures of ASD and ADHD to gain further insight into disorder comorbidity and heterogeneity. Methods Factor mixture modelling was used on speed and accuracy measures of auditory and visual emotion recognition tasks. These were administered to children and adolescents with ASD (N = 89), comorbid ASD + ADHD (N = 64), their unaffected siblings (N = 122), ADHD (N = 111), their unaffected siblings (N = 69), and controls (N = 220). Identified classes were compared on diagnostic and quantitative symptom measures. Results A four-class solution was revealed, with the following emotion recognition abilities: (1) average visual, impulsive auditory; (2) average-strong visual and auditory; (3) impulsive/imprecise visual, average auditory; (4) weak visual and auditory. The weakest performing class (4) contained the highest percentage of patients (66.07%) and the lowest percentage controls (10.09%), scoring the highest on ASD/ADHD measures. The best performing class (2) demonstrated the opposite: 48.98% patients, 15.26% controls with relatively low scores on ASD/ADHD measures. Conclusions Subgroups of youths can be identified that differ both in quantitative and qualitative aspects of emotion recognition abilities. Weak emotion recognition abilities across sensory domains are linked to an increased risk for ASD as well as ADHD, although emotion recognition impairments alone are neither necessary nor sufficient parts of these disorders. Electronic supplementary material The online version of this article (10.1186/s11689-018-9249-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Francesca Waddington
- Department of Human Genetics, Radboud University Medical Center Nijmegen, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands. .,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
| | - Catharina Hartman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Yvette de Bruijn
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,Karakter Child and Adolescent Psychiatry University Centre, Reinier Postlaan 12, 6525 GC, Nijmegen, The Netherlands
| | - Martijn Lappenschaar
- Department of Geriatrics, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Anoek Oerlemans
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Jan Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,Karakter Child and Adolescent Psychiatry University Centre, Reinier Postlaan 12, 6525 GC, Nijmegen, The Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center Nijmegen, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Nanda Rommelse
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands. .,Karakter Child and Adolescent Psychiatry University Centre, Reinier Postlaan 12, 6525 GC, Nijmegen, The Netherlands. .,Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands.
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6
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Thye MD, Bednarz HM, Herringshaw AJ, Sartin EB, Kana RK. The impact of atypical sensory processing on social impairments in autism spectrum disorder. Dev Cogn Neurosci 2018; 29:151-167. [PMID: 28545994 PMCID: PMC6987885 DOI: 10.1016/j.dcn.2017.04.010] [Citation(s) in RCA: 224] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Revised: 02/25/2017] [Accepted: 04/18/2017] [Indexed: 02/03/2023] Open
Abstract
Altered sensory processing has been an important feature of the clinical descriptions of autism spectrum disorder (ASD). There is evidence that sensory dysregulation arises early in the progression of ASD and impacts social functioning. This paper reviews behavioral and neurobiological evidence that describes how sensory deficits across multiple modalities (vision, hearing, touch, olfaction, gustation, and multisensory integration) could impact social functions in ASD. Theoretical models of ASD and their implications for the relationship between sensory and social functioning are discussed. Furthermore, neural differences in anatomy, function, and connectivity of different regions underlying sensory and social processing are also discussed. We conclude that there are multiple mechanisms through which early sensory dysregulation in ASD could cascade into social deficits across development. Future research is needed to clarify these mechanisms, and specific focus should be given to distinguish between deficits in primary sensory processing and altered top-down attentional and cognitive processes.
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Affiliation(s)
- Melissa D Thye
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35233, United States
| | - Haley M Bednarz
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35233, United States
| | - Abbey J Herringshaw
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35233, United States
| | - Emma B Sartin
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35233, United States
| | - Rajesh K Kana
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35233, United States.
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7
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Tryfon A, Foster NEV, Sharda M, Hyde KL. Speech perception in autism spectrum disorder: An activation likelihood estimation meta-analysis. Behav Brain Res 2017; 338:118-127. [PMID: 29074403 DOI: 10.1016/j.bbr.2017.10.025] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 10/13/2017] [Accepted: 10/20/2017] [Indexed: 02/06/2023]
Abstract
Autism spectrum disorder (ASD) is often characterized by atypical language profiles and auditory and speech processing. These can contribute to aberrant language and social communication skills in ASD. The study of the neural basis of speech perception in ASD can serve as a potential neurobiological marker of ASD early on, but mixed results across studies renders it difficult to find a reliable neural characterization of speech processing in ASD. To this aim, the present study examined the functional neural basis of speech perception in ASD versus typical development (TD) using an activation likelihood estimation (ALE) meta-analysis of 18 qualifying studies. The present study included separate analyses for TD and ASD, which allowed us to examine patterns of within-group brain activation as well as both common and distinct patterns of brain activation across the ASD and TD groups. Overall, ASD and TD showed mostly common brain activation of speech processing in bilateral superior temporal gyrus (STG) and left inferior frontal gyrus (IFG). However, the results revealed trends for some distinct activation in the TD group showing additional activation in higher-order brain areas including left superior frontal gyrus (SFG), left medial frontal gyrus (MFG), and right IFG. These results provide a more reliable neural characterization of speech processing in ASD relative to previous single neuroimaging studies and motivate future work to investigate how these brain signatures relate to behavioral measures of speech processing in ASD.
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Affiliation(s)
- Ana Tryfon
- International Laboratory for Brain, Music, and Sound Research (BRAMS), Pavillon 1420 Mont-Royal, Department of Psychology, University of Montreal, C.P. 6128, Succ. Centre-Ville, Montreal, Quebec, H3C 3J7, Canada; Faculty of Medicine, McIntyre Medical Building, McGill University, 3655 Sir William Osler, Montreal, Quebec H3G 1Y6, Canada.
| | - Nicholas E V Foster
- International Laboratory for Brain, Music, and Sound Research (BRAMS), Pavillon 1420 Mont-Royal, Department of Psychology, University of Montreal, C.P. 6128, Succ. Centre-Ville, Montreal, Quebec, H3C 3J7, Canada
| | - Megha Sharda
- International Laboratory for Brain, Music, and Sound Research (BRAMS), Pavillon 1420 Mont-Royal, Department of Psychology, University of Montreal, C.P. 6128, Succ. Centre-Ville, Montreal, Quebec, H3C 3J7, Canada
| | - Krista L Hyde
- International Laboratory for Brain, Music, and Sound Research (BRAMS), Pavillon 1420 Mont-Royal, Department of Psychology, University of Montreal, C.P. 6128, Succ. Centre-Ville, Montreal, Quebec, H3C 3J7, Canada; Faculty of Medicine, McIntyre Medical Building, McGill University, 3655 Sir William Osler, Montreal, Quebec H3G 1Y6, Canada
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8
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Frühholz S, Staib M. Neurocircuitry of impaired affective sound processing: A clinical disorders perspective. Neurosci Biobehav Rev 2017; 83:516-524. [PMID: 28919431 DOI: 10.1016/j.neubiorev.2017.09.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Revised: 06/08/2017] [Accepted: 09/05/2017] [Indexed: 12/22/2022]
Abstract
Decoding affective meaning from sensory information is central to accurate and adaptive behavior in many natural and social contexts. Human vocalizations (speech and non-speech), environmental sounds (e.g. thunder, noise, or animal sounds) and human-produced sounds (e.g. technical sounds or music) can carry a wealth of important aversive, threatening, appealing, or pleasurable affective information that sometimes implicitly influences and guides our behavior. A deficit in processing such affective information is detrimental to adaptive environmental behavior, psychological well-being, and social interactive abilities. These deficits can originate from a diversity of psychiatric and neurological disorders, and are associated with neural dysfunctions across largely distributed brain networks. Recent neuroimaging studies in psychiatric and neurological patients outline the cortical and subcortical neurocircuitry of the complimentary and differential functional roles for affective sound processing. This points to and confirms a recently proposed distributed network rather than a single brain region underlying affective sound processing, and highlights the notion of a multi-functional process that can be differentially impaired in clinical disorders.
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Affiliation(s)
- Sascha Frühholz
- Department of Psychology, University of Zürich, Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland; Center for Integrative Human Physiology (ZIHP), University of Zurich, Switzerland.
| | - Matthias Staib
- Department of Psychology, University of Zürich, Zürich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
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9
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Salles J, Strelnikov K, Carine M, Denise T, Laurier V, Molinas C, Tauber M, Barone P. Deficits in voice and multisensory processing in patients with Prader-Willi syndrome. Neuropsychologia 2016; 85:137-47. [PMID: 26994593 DOI: 10.1016/j.neuropsychologia.2016.03.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Revised: 02/10/2016] [Accepted: 03/14/2016] [Indexed: 10/22/2022]
Abstract
Prader-Willi syndrome (PWS) is a rare neurodevelopmental and genetic disorder that is characterized by various expression of endocrine, cognitive and behavioral problems, among which a true obsession for food and a deficit of satiety that leads to hyperphagia and severe obesity. Neuropsychological studies have reported that PWS display altered social interactions with a specific weakness in interpreting social information and in responding to them, a symptom closed to that observed in autism spectrum disorders (ASD). Based on the hypothesis that atypical multisensory integration such as face and voice interactions would contribute in PWS to social impairment we investigate the abilities of PWS to process communication signals including the human voice. Patients with PWS recruited from the national reference center for PWS performed a simple detection task of stimuli presented in an uni-o or bimodal condition, as well as a voice discrimination task. Compared to control typically developing (TD) individuals, PWS present a specific deficit in discriminating human voices from environmental sounds. Further, PWS present a much lower multisensory benefits with an absence of violation of the race model indicating that multisensory information do not converge and interact prior to the initiation of the behavioral response. All the deficits observed in PWS were stronger for the subgroup of patients suffering from Uniparental Disomy, a population known to be more sensitive to ASD. Altogether, our study suggests that the deficits in social behavior observed in PWS derive at least partly from an impairment in deciphering the social information carried by voice signals, face signals, and the combination of both. In addition, our work is in agreement with the brain imaging studies revealing an alteration in PWS of the "social brain network" including the STS region involved in processing human voices.
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Affiliation(s)
- Juliette Salles
- Université Toulouse, CerCo, Université Paul Sabatier, Toulouse, France; CNRS, UMR 5549, Faculté de Médecine de Purpan, Toulouse, France; Centre de Référence du Syndrome de Prader-Willi, Hôpital des Enfants, Toulouse, France; Service de psychiatrie et psychologie médicale, Hôpital de psychiatrie, Toulouse, France
| | - Kuzma Strelnikov
- Université Toulouse, CerCo, Université Paul Sabatier, Toulouse, France; CNRS, UMR 5549, Faculté de Médecine de Purpan, Toulouse, France
| | - Mantoulan Carine
- Centre de Référence du Syndrome de Prader-Willi, Hôpital des Enfants, Toulouse, France
| | | | | | - Catherine Molinas
- Centre de Référence du Syndrome de Prader-Willi, Hôpital des Enfants, Toulouse, France
| | - Maïthé Tauber
- Centre de Référence du Syndrome de Prader-Willi, Hôpital des Enfants, Toulouse, France; INSERM, Centre de Physiopathologie de Toulouse-Purpan UMR 1043 3, Toulouse, France
| | - Pascal Barone
- Université Toulouse, CerCo, Université Paul Sabatier, Toulouse, France; CNRS, UMR 5549, Faculté de Médecine de Purpan, Toulouse, France.
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10
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Baum SH, Stevenson RA, Wallace MT. Behavioral, perceptual, and neural alterations in sensory and multisensory function in autism spectrum disorder. Prog Neurobiol 2015; 134:140-60. [PMID: 26455789 PMCID: PMC4730891 DOI: 10.1016/j.pneurobio.2015.09.007] [Citation(s) in RCA: 231] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Revised: 08/21/2015] [Accepted: 09/05/2015] [Indexed: 01/24/2023]
Abstract
Although sensory processing challenges have been noted since the first clinical descriptions of autism, it has taken until the release of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) in 2013 for sensory problems to be included as part of the core symptoms of autism spectrum disorder (ASD) in the diagnostic profile. Because sensory information forms the building blocks for higher-order social and cognitive functions, we argue that sensory processing is not only an additional piece of the puzzle, but rather a critical cornerstone for characterizing and understanding ASD. In this review we discuss what is currently known about sensory processing in ASD, how sensory function fits within contemporary models of ASD, and what is understood about the differences in the underlying neural processing of sensory and social communication observed between individuals with and without ASD. In addition to highlighting the sensory features associated with ASD, we also emphasize the importance of multisensory processing in building perceptual and cognitive representations, and how deficits in multisensory integration may also be a core characteristic of ASD.
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Affiliation(s)
- Sarah H Baum
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
| | - Ryan A Stevenson
- Department of Psychology, University of Toronto, Toronto, ON, Canada
| | - Mark T Wallace
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA; Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN, USA; Department of Psychology, Vanderbilt University, Nashville, TN, USA; Department of Psychiatry, Vanderbilt University, Nashville, TN, USA.
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11
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Choi US, Kim SY, Sim HJ, Lee SY, Park SY, Jeong JS, Seol KI, Yoon HW, Jhung K, Park JI, Cheon KA. Abnormal brain activity in social reward learning in children with autism spectrum disorder: an fMRI study. Yonsei Med J 2015; 56:705-11. [PMID: 25837176 PMCID: PMC4397440 DOI: 10.3349/ymj.2015.56.3.705] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
PURPOSE We aimed to determine whether Autism Spectrum Disorder (ASD) would show neural abnormality of the social reward system using functional MRI (fMRI). MATERIALS AND METHODS 27 ASDs and 12 typically developing controls (TDCs) participated in this study. The social reward task was developed, and all participants performed the task during fMRI scanning. RESULTS ASDs and TDCs with a social reward learning effect were selected on the basis of behavior data. We found significant differences in brain activation between the ASDs and TDCs showing a social reward learning effect. Compared with the TDCs, the ASDs showed reduced activity in the right dorsolateral prefrontal cortex, right orbitofrontal cortex, right parietal lobe, and occipital lobe; however, they showed increased activity in the right parahippocampal gyrus and superior temporal gyrus. CONCLUSION These findings suggest that there might be neural abnormality of the social reward learning system of ASDs. Although this study has several potential limitations, it presents novel findings in the different neural mechanisms of social reward learning in children with ASD and a possible useful biomarker of high-functioning ASDs.
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Affiliation(s)
- Uk-Su Choi
- Neuroscience Research Institute, Gachon University of Medicine and Science, Incheon, Korea
| | - Sun-Young Kim
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei Autism Laboratory, Yonsei University College of Medicine, Seoul, Korea
| | - Hyeon Jeong Sim
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei Autism Laboratory, Yonsei University College of Medicine, Seoul, Korea
| | - Seo-Young Lee
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei Autism Laboratory, Yonsei University College of Medicine, Seoul, Korea
| | - Sung-Yeon Park
- Neuroscience Research Institute, Gachon University of Medicine and Science, Incheon, Korea
| | - Joon-Sup Jeong
- Neuroscience Research Institute, Gachon University of Medicine and Science, Incheon, Korea
| | - Kyeong In Seol
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei Autism Laboratory, Yonsei University College of Medicine, Seoul, Korea
| | - Hyo-Woon Yoon
- Department of Art Therapy, Daegu Cyber University, Daegu, Korea
| | - Kyungun Jhung
- Department of Psychiatry, Konyang University College of Medicine, Daejeon, Korea
| | - Jee-In Park
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei Autism Laboratory, Yonsei University College of Medicine, Seoul, Korea
| | - Keun-Ah Cheon
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei Autism Laboratory, Yonsei University College of Medicine, Seoul, Korea.
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12
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Fett AKJ, Shergill SS, Krabbendam L. Social neuroscience in psychiatry: unravelling the neural mechanisms of social dysfunction. Psychol Med 2015; 45:1145-1165. [PMID: 25335852 DOI: 10.1017/s0033291714002487] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Social neuroscience is a flourishing, interdisciplinary field that investigates the underlying biological processes of social cognition and behaviour. The recent application of social neuroscience to psychiatric research advances our understanding of various psychiatric illnesses that are characterized by impairments in social cognition and social functioning. In addition, the upcoming line of social neuroscience research provides new techniques to design and evaluate treatment interventions that are aimed at improving patients' social lives. This review provides a contemporary overview of social neuroscience in psychiatry. We draw together the major findings about the neural mechanisms of social cognitive processes directed at understanding others and social interactions in psychiatric illnesses and discuss their implications for future research and clinical practice.
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Affiliation(s)
- A K J Fett
- Department of Educational Neuroscience & Research Institute LEARN!,Faculty of Psychology and Education,VU University Amsterdam,Van der Boechorststraat 1,Amsterdam,The Netherlands
| | - S S Shergill
- Department of Psychosis Studies,Institute of Psychiatry, King's College London,De Crespigny Park,London,UK
| | - L Krabbendam
- Department of Educational Neuroscience & Research Institute LEARN!,Faculty of Psychology and Education,VU University Amsterdam,Van der Boechorststraat 1,Amsterdam,The Netherlands
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Itahashi T, Yamada T, Nakamura M, Watanabe H, Yamagata B, Jimbo D, Shioda S, Kuroda M, Toriizuka K, Kato N, Hashimoto R. Linked alterations in gray and white matter morphology in adults with high-functioning autism spectrum disorder: a multimodal brain imaging study. NEUROIMAGE-CLINICAL 2014; 7:155-69. [PMID: 25610777 PMCID: PMC4299973 DOI: 10.1016/j.nicl.2014.11.019] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2014] [Revised: 11/22/2014] [Accepted: 11/26/2014] [Indexed: 11/17/2022]
Abstract
Growing evidence suggests that a broad range of behavioral anomalies in people with autism spectrum disorder (ASD) can be linked with morphological and functional alterations in the brain. However, the neuroanatomical underpinnings of ASD have been investigated using either structural magnetic resonance imaging (MRI) or diffusion tensor imaging (DTI), and the relationships between abnormalities revealed by these two modalities remain unclear. This study applied a multimodal data-fusion method, known as linked independent component analysis (ICA), to a set of structural MRI and DTI data acquired from 46 adult males with ASD and 46 matched controls in order to elucidate associations between different aspects of atypical neuroanatomy of ASD. Linked ICA identified two composite components that showed significant between-group differences, one of which was significantly correlated with age. In the other component, participants with ASD showed decreased gray matter (GM) volumes in multiple regions, including the bilateral fusiform gyri, bilateral orbitofrontal cortices, and bilateral pre- and post-central gyri. These GM changes were linked with a pattern of decreased fractional anisotropy (FA) in several white matter tracts, such as the bilateral inferior longitudinal fasciculi, bilateral inferior fronto-occipital fasciculi, and bilateral corticospinal tracts. Furthermore, unimodal analysis for DTI data revealed significant reductions of FA along with increased mean diffusivity in those tracts for ASD, providing further evidence of disrupted anatomical connectivity. Taken together, our findings suggest that, in ASD, alterations in different aspects of brain morphology may co-occur in specific brain networks, providing a comprehensive view for understanding the neuroanatomy of this disorder. Structural alterations of gray (GM) and white matter (WM) in ASD were investigated. Linked independent component analysis was used for multimodal data analysis. Alterations of GM and WM in ASD co-occurred in cognitive and affective networks. Results reveal an integrative view of multiple aspects of structural changes in ASD.
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Affiliation(s)
- Takashi Itahashi
- Department of Pharmacognosy and Phytochemistry, Showa University School of Pharmacy, Tokyo, Japan
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Takashi Yamada
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
| | - Motoaki Nakamura
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
- Kinko Hospital, Kanagawa Psychiatric Center, Kanagawa, Japan
| | - Hiromi Watanabe
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
| | - Bun Yamagata
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
| | - Daiki Jimbo
- Department of Anatomy, Showa University School of Medicine, Tokyo, Japan
| | - Seiji Shioda
- Department of Anatomy, Showa University School of Medicine, Tokyo, Japan
| | - Miho Kuroda
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
- Child Mental Health-care Center, Fukushima University, Fukushima, Japan
- Department of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kazuo Toriizuka
- Department of Pharmacognosy and Phytochemistry, Showa University School of Pharmacy, Tokyo, Japan
| | - Nobumasa Kato
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Ryuichiro Hashimoto
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
- Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo, Japan
- Corresponding author at: Medical Institute of Developmental Disabilities Research, Showa University, 6-11-11, Kita-karasuyama, Setagaya-ku, Tokyo 157-8577, Japan. Tel.: +81 3 5315 9357.
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Gebauer L, Skewes J, Hørlyck L, Vuust P. Atypical perception of affective prosody in Autism Spectrum Disorder. NEUROIMAGE-CLINICAL 2014; 6:370-8. [PMID: 25379450 PMCID: PMC4218934 DOI: 10.1016/j.nicl.2014.08.025] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2014] [Revised: 08/12/2014] [Accepted: 08/31/2014] [Indexed: 11/30/2022]
Abstract
Autism Spectrum Disorder (ASD) is characterized by impairments in language and social–emotional cognition. Yet, findings of emotion recognition from affective prosody in individuals with ASD are inconsistent. This study investigated emotion recognition and neural processing of affective prosody in high-functioning adults with ASD relative to neurotypical (NT) adults. Individuals with ASD showed mostly typical brain activation of the fronto-temporal and subcortical brain regions in response to affective prosody. Yet, the ASD group showed a trend towards increased activation of the right caudate during processing of affective prosody and rated the emotional intensity lower than NT individuals. This is likely associated with increased attentional task demands in this group, which might contribute to social–emotional impairments. This study investigated processing of affective prosody in ASD Including 19 high-functioning adults with ASD and 20 neurotypical (NT) adults Using behavioral measures for emotion recognition and fMRI Individuals with ASD showed lower ratings of emotional intensity than NT A trend towards increased activation of caudate during affective prosody in ASD
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Affiliation(s)
- Line Gebauer
- Center of Functionally Integrative Neuroscience, Aarhus University, Building 10G, 5th Floor, Noerrebrogade 44, Aarhus C 8000, Denmark ; Interacting Minds Centre, Aarhus University, Building 1483, 3rd Floor, Jens Chr. Skous Vej 4, Aarhus C 8000, Denmark
| | - Joshua Skewes
- Interacting Minds Centre, Aarhus University, Building 1483, 3rd Floor, Jens Chr. Skous Vej 4, Aarhus C 8000, Denmark
| | - Lone Hørlyck
- Center of Functionally Integrative Neuroscience, Aarhus University, Building 10G, 5th Floor, Noerrebrogade 44, Aarhus C 8000, Denmark
| | - Peter Vuust
- Center of Functionally Integrative Neuroscience, Aarhus University, Building 10G, 5th Floor, Noerrebrogade 44, Aarhus C 8000, Denmark ; Royal Academy of Music, Skovgaardsgade 2C, Aarhus C 8000, Denmark
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