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A systematic review of person-centred adjustments to facilitate magnetic resonance imaging for autistic patients without the use of sedation or anaesthesia / Nikolaos STOGIANNOS in Autism, 26-4 (May 2022)
[article]
Titre : A systematic review of person-centred adjustments to facilitate magnetic resonance imaging for autistic patients without the use of sedation or anaesthesia Type de document : Texte imprimé et/ou numérique Auteurs : Nikolaos STOGIANNOS, Auteur ; Sarah CARLIER, Auteur ; Jane M. HARVEY-LLOYD, Auteur ; Andrea BRAMMER, Auteur ; Barbara NUGENT, Auteur ; Karen CLEAVER, Auteur ; Jonathan P. MCNULTY, Auteur ; Cláudia Sá DOS REIS, Auteur ; Christina MALAMATENIOU, Auteur Article en page(s) : p.782-797 Langues : Anglais (eng) Mots-clés : Anesthesia Anxiety Autism Spectrum Disorder Autistic Disorder/diagnostic imaging Humans Magnetic Resonance Imaging Mri adjustment autism person-centred systematic review conflicts of interest with respect to the research, authorship, and/or publication of this article. Index. décimale : PER Périodiques Résumé : Autistic patients often undergo magnetic resonance imaging examinations. Within this environment, it is usual to feel anxious and overwhelmed by noises, lights or other people. The narrow scanners, the loud noises and the long examination time can easily cause panic attacks. This review aims to identify any adaptations for autistic individuals to have a magnetic resonance imaging scan without sedation or anaesthesia. Out of 4442 articles screened, 53 more relevant were evaluated and 21 were finally included in this study. Customising communication, different techniques to improve the environment, using technology for familiarisation and distraction have been used in previous studies. The results of this study can be used to make suggestions on how to improve magnetic resonance imaging practice and the autistic patient experience. They can also be used to create training for the healthcare professionals using the magnetic resonance imaging scanners. En ligne : https://dx.doi.org/10.1177/13623613211065542 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473
in Autism > 26-4 (May 2022) . - p.782-797[article] A systematic review of person-centred adjustments to facilitate magnetic resonance imaging for autistic patients without the use of sedation or anaesthesia [Texte imprimé et/ou numérique] / Nikolaos STOGIANNOS, Auteur ; Sarah CARLIER, Auteur ; Jane M. HARVEY-LLOYD, Auteur ; Andrea BRAMMER, Auteur ; Barbara NUGENT, Auteur ; Karen CLEAVER, Auteur ; Jonathan P. MCNULTY, Auteur ; Cláudia Sá DOS REIS, Auteur ; Christina MALAMATENIOU, Auteur . - p.782-797.
Langues : Anglais (eng)
in Autism > 26-4 (May 2022) . - p.782-797
Mots-clés : Anesthesia Anxiety Autism Spectrum Disorder Autistic Disorder/diagnostic imaging Humans Magnetic Resonance Imaging Mri adjustment autism person-centred systematic review conflicts of interest with respect to the research, authorship, and/or publication of this article. Index. décimale : PER Périodiques Résumé : Autistic patients often undergo magnetic resonance imaging examinations. Within this environment, it is usual to feel anxious and overwhelmed by noises, lights or other people. The narrow scanners, the loud noises and the long examination time can easily cause panic attacks. This review aims to identify any adaptations for autistic individuals to have a magnetic resonance imaging scan without sedation or anaesthesia. Out of 4442 articles screened, 53 more relevant were evaluated and 21 were finally included in this study. Customising communication, different techniques to improve the environment, using technology for familiarisation and distraction have been used in previous studies. The results of this study can be used to make suggestions on how to improve magnetic resonance imaging practice and the autistic patient experience. They can also be used to create training for the healthcare professionals using the magnetic resonance imaging scanners. En ligne : https://dx.doi.org/10.1177/13623613211065542 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473 Sex differentiation of brain structures in autism: Findings from a gray matter asymmetry study / Z. DENG in Autism Research, 14-6 (June 2021)
[article]
Titre : Sex differentiation of brain structures in autism: Findings from a gray matter asymmetry study Type de document : Texte imprimé et/ou numérique Auteurs : Z. DENG, Auteur ; S. WANG, Auteur Article en page(s) : p.1115-1126 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging Autistic Disorder/diagnostic imaging Brain/diagnostic imaging Female Gray Matter/diagnostic imaging Humans Magnetic Resonance Imaging Male Sex Differentiation Mri autism brain gray matter gray matter asymmetry sex differences Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is diagnosed much more often in males than females. This male predominance has prompted a number of studies to examine how sex differences are related to the neural expression of ASD. Different theories, such as the "extreme male brain" theory, the "female protective effect" (FPE) theory, and the gender incoherence (GI) theory, provide different explanations for the mixed findings of sex-related neural expression of ASD. This study sought to clarify whether either theory applies to the brain structure in individuals with ASD by analyzing a selective high-quality data subset from an open data resource (Autism Brain Imaging Data Exchange I and II) including 35 males/35 females with ASD and 86 male/86 female typical-controls (TCs). We examined the sex-related changes in ASD in gray matter asymmetry measures (i.e., asymmetry index, AI) derived from voxel-based morphometry using a 2 (diagnosis: ASD vs. TC)?× ?2 (sex: female vs. male) factorial design. A diagnosis-by-sex interaction effect was identified in the planum temporale/Heschl's gyrus: (i) compared to females, males exhibited decreased AI (indicating more leftward brain asymmetry) in the TC group, whereas AI was greater (indicating less leftward brain asymmetry) for males than for females in the ASD group; and (ii) females with ASD showed reduced AI (indicating more leftward brain asymmetry) compared to female TCs, whereas there were no differences between ASDs and TCs in the male group. This interaction pattern supports the FPE theory in showing greater brain structure changes (masculinization) in females with ASD. LAY SUMMARY: To understand the neural mechanisms underlying male predominance in autism spectrum disorder (ASD), we investigated the sex differences in ASD-related alterations in brain asymmetry. We found greater changes in females with ASD compared with males with ASD, revealing a female protective effect. These findings provide novel insights into the neurobiology of sex differences in ASD. En ligne : http://dx.doi.org/10.1002/aur.2506 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449
in Autism Research > 14-6 (June 2021) . - p.1115-1126[article] Sex differentiation of brain structures in autism: Findings from a gray matter asymmetry study [Texte imprimé et/ou numérique] / Z. DENG, Auteur ; S. WANG, Auteur . - p.1115-1126.
Langues : Anglais (eng)
in Autism Research > 14-6 (June 2021) . - p.1115-1126
Mots-clés : Autism Spectrum Disorder/diagnostic imaging Autistic Disorder/diagnostic imaging Brain/diagnostic imaging Female Gray Matter/diagnostic imaging Humans Magnetic Resonance Imaging Male Sex Differentiation Mri autism brain gray matter gray matter asymmetry sex differences Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is diagnosed much more often in males than females. This male predominance has prompted a number of studies to examine how sex differences are related to the neural expression of ASD. Different theories, such as the "extreme male brain" theory, the "female protective effect" (FPE) theory, and the gender incoherence (GI) theory, provide different explanations for the mixed findings of sex-related neural expression of ASD. This study sought to clarify whether either theory applies to the brain structure in individuals with ASD by analyzing a selective high-quality data subset from an open data resource (Autism Brain Imaging Data Exchange I and II) including 35 males/35 females with ASD and 86 male/86 female typical-controls (TCs). We examined the sex-related changes in ASD in gray matter asymmetry measures (i.e., asymmetry index, AI) derived from voxel-based morphometry using a 2 (diagnosis: ASD vs. TC)?× ?2 (sex: female vs. male) factorial design. A diagnosis-by-sex interaction effect was identified in the planum temporale/Heschl's gyrus: (i) compared to females, males exhibited decreased AI (indicating more leftward brain asymmetry) in the TC group, whereas AI was greater (indicating less leftward brain asymmetry) for males than for females in the ASD group; and (ii) females with ASD showed reduced AI (indicating more leftward brain asymmetry) compared to female TCs, whereas there were no differences between ASDs and TCs in the male group. This interaction pattern supports the FPE theory in showing greater brain structure changes (masculinization) in females with ASD. LAY SUMMARY: To understand the neural mechanisms underlying male predominance in autism spectrum disorder (ASD), we investigated the sex differences in ASD-related alterations in brain asymmetry. We found greater changes in females with ASD compared with males with ASD, revealing a female protective effect. These findings provide novel insights into the neurobiology of sex differences in ASD. En ligne : http://dx.doi.org/10.1002/aur.2506 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449 Facial expression recognition is linked to clinical and neurofunctional differences in autism / Hannah MEYER-LINDENBERG in Molecular Autism, 13 (2022)
[article]
Titre : Facial expression recognition is linked to clinical and neurofunctional differences in autism Type de document : Texte imprimé et/ou numérique Auteurs : Hannah MEYER-LINDENBERG, Auteur ; Carolin MOESSNANG, Auteur ; Bethany OAKLEY, Auteur ; Jumana AHMAD, Auteur ; Luke MASON, Auteur ; Emily J. H. JONES, Auteur ; Hannah L. HAYWARD, Auteur ; Jennifer COOKE, Auteur ; Daisy CRAWLEY, Auteur ; Rosemary HOLT, Auteur ; Julian TILLMANN, Auteur ; Tony CHARMAN, Auteur ; Simon BARON-COHEN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Christian BECKMANN, Auteur ; Heike TOST, Auteur ; Andreas MEYER-LINDENBERG, Auteur ; Jan K. BUITELAAR, Auteur ; Declan G. MURPHY, Auteur ; Michael J. BRAMMER, Auteur ; Eva LOTH, Auteur Article en page(s) : 43 p. Langues : Anglais (eng) Mots-clés : Humans Facial Recognition Autistic Disorder/diagnostic imaging Emotions Magnetic Resonance Imaging/methods Biomarkers Autism Spectrum Disorder Facial Expression Autism Autism spectrum disorder Clustering analysis Development Facial expression recognition Multi-site Social brain Stratification biomarkers fMRI consultant to F. Hoffmann-La Roche Ltd. and Servier and has received royalties from Sage Publications and Guilford Publications. TB served in an advisory or consultancy role for Lundbeck, Medice, Neurim Pharmaceuticals, Oberberg GmbH, Takeda, and Infectopharm. He received conference support or speaker’s fee by Lilly, Medice, and Takeda. He received royalties from Hogrefe, Kohlhammer, CIP Medien, Oxford University Press the present work is unrelated to these relationships. AM-L has received consultant fees in the past two years from Boehringer Ingelheim, Elsevier, Lundbeck Int. Neuroscience Foundation, Lundbeck AS, The Wolfson Foundation, Thieme Verlag, Sage Therapeutics, von Behring Stiftung, Fondation FondaMental, Janssen-Cilag GmbH, MedinCell, Brain Mind Institute, CISSN. Furthermore, he has received speaker fees from Italian Society of biological Psychiatry, Merz-Stiftung, Forum Werkstatt Karlsruhe, Lundbeck SAS France, BAG Psychiatrie Oberbayern. JB has been in the past 3 years a consultant to/member of advisory board of/and/or speaker for Takeda/Shire, Roche, Medice, Angelini, Janssen, and Servier. He is not an employee of any of these companies, and not a stock shareholder of any of these companies. He has no other financial or material support, including expert testimony, patents, royalties. EL is an Associate Editor at Molecular Autism. DM has been paid for advisory board work by F. Hoffmann-La Roche Ltd. and Servier, and for editorial work by Springer. The other authors declare that they have no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Difficulties in social communication are a defining clinical feature of autism. However, the underlying neurobiological heterogeneity has impeded targeted therapies and requires new approaches to identifying clinically relevant bio-behavioural subgroups. In the largest autism cohort to date, we comprehensively examined difficulties in facial expression recognition, a key process in social communication, as a bio-behavioural stratification biomarker, and validated them against clinical features and neurofunctional responses. METHODS: Between 255 and 488 participants aged 6-30 years with autism, typical development and/or mild intellectual disability completed the Karolinska Directed Emotional Faces task, the Reading the Mind in the Eyes Task and/or the Films Expression Task. We first examined mean-group differences on each test. Then, we used a novel intersection approach that compares two centroid and connectivity-based clustering methods to derive subgroups based on the combined performance across the three tasks. Measures and subgroups were then related to clinical features and neurofunctional differences measured using fMRI during a fearful face-matching task. RESULTS: We found significant mean-group differences on each expression recognition test. However, cluster analyses showed that these were driven by a low-performing autistic subgroup (~ 30% of autistic individuals who performed below 2SDs of the neurotypical mean on at least one test), while a larger subgroup (~ 70%) performed within 1SD on at least 2 tests. The low-performing subgroup also had on average significantly more social communication difficulties and lower activation in the amygdala and fusiform gyrus than the high-performing subgroup. LIMITATIONS: Findings of autism expression recognition subgroups and their characteristics require independent replication. This is currently not possible, as there is no other existing dataset that includes all relevant measures. However, we demonstrated high internal robustness (91.6%) of findings between two clustering methods with fundamentally different assumptions, which is a critical pre-condition for independent replication. CONCLUSIONS: We identified a subgroup of autistic individuals with expression recognition difficulties and showed that this related to clinical and neurobiological characteristics. If replicated, expression recognition may serve as bio-behavioural stratification biomarker and aid in the development of targeted interventions for a subgroup of autistic individuals. En ligne : http://dx.doi.org/10.1186/s13229-022-00520-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491
in Molecular Autism > 13 (2022) . - 43 p.[article] Facial expression recognition is linked to clinical and neurofunctional differences in autism [Texte imprimé et/ou numérique] / Hannah MEYER-LINDENBERG, Auteur ; Carolin MOESSNANG, Auteur ; Bethany OAKLEY, Auteur ; Jumana AHMAD, Auteur ; Luke MASON, Auteur ; Emily J. H. JONES, Auteur ; Hannah L. HAYWARD, Auteur ; Jennifer COOKE, Auteur ; Daisy CRAWLEY, Auteur ; Rosemary HOLT, Auteur ; Julian TILLMANN, Auteur ; Tony CHARMAN, Auteur ; Simon BARON-COHEN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Christian BECKMANN, Auteur ; Heike TOST, Auteur ; Andreas MEYER-LINDENBERG, Auteur ; Jan K. BUITELAAR, Auteur ; Declan G. MURPHY, Auteur ; Michael J. BRAMMER, Auteur ; Eva LOTH, Auteur . - 43 p.
Langues : Anglais (eng)
in Molecular Autism > 13 (2022) . - 43 p.
Mots-clés : Humans Facial Recognition Autistic Disorder/diagnostic imaging Emotions Magnetic Resonance Imaging/methods Biomarkers Autism Spectrum Disorder Facial Expression Autism Autism spectrum disorder Clustering analysis Development Facial expression recognition Multi-site Social brain Stratification biomarkers fMRI consultant to F. Hoffmann-La Roche Ltd. and Servier and has received royalties from Sage Publications and Guilford Publications. TB served in an advisory or consultancy role for Lundbeck, Medice, Neurim Pharmaceuticals, Oberberg GmbH, Takeda, and Infectopharm. He received conference support or speaker’s fee by Lilly, Medice, and Takeda. He received royalties from Hogrefe, Kohlhammer, CIP Medien, Oxford University Press the present work is unrelated to these relationships. AM-L has received consultant fees in the past two years from Boehringer Ingelheim, Elsevier, Lundbeck Int. Neuroscience Foundation, Lundbeck AS, The Wolfson Foundation, Thieme Verlag, Sage Therapeutics, von Behring Stiftung, Fondation FondaMental, Janssen-Cilag GmbH, MedinCell, Brain Mind Institute, CISSN. Furthermore, he has received speaker fees from Italian Society of biological Psychiatry, Merz-Stiftung, Forum Werkstatt Karlsruhe, Lundbeck SAS France, BAG Psychiatrie Oberbayern. JB has been in the past 3 years a consultant to/member of advisory board of/and/or speaker for Takeda/Shire, Roche, Medice, Angelini, Janssen, and Servier. He is not an employee of any of these companies, and not a stock shareholder of any of these companies. He has no other financial or material support, including expert testimony, patents, royalties. EL is an Associate Editor at Molecular Autism. DM has been paid for advisory board work by F. Hoffmann-La Roche Ltd. and Servier, and for editorial work by Springer. The other authors declare that they have no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Difficulties in social communication are a defining clinical feature of autism. However, the underlying neurobiological heterogeneity has impeded targeted therapies and requires new approaches to identifying clinically relevant bio-behavioural subgroups. In the largest autism cohort to date, we comprehensively examined difficulties in facial expression recognition, a key process in social communication, as a bio-behavioural stratification biomarker, and validated them against clinical features and neurofunctional responses. METHODS: Between 255 and 488 participants aged 6-30 years with autism, typical development and/or mild intellectual disability completed the Karolinska Directed Emotional Faces task, the Reading the Mind in the Eyes Task and/or the Films Expression Task. We first examined mean-group differences on each test. Then, we used a novel intersection approach that compares two centroid and connectivity-based clustering methods to derive subgroups based on the combined performance across the three tasks. Measures and subgroups were then related to clinical features and neurofunctional differences measured using fMRI during a fearful face-matching task. RESULTS: We found significant mean-group differences on each expression recognition test. However, cluster analyses showed that these were driven by a low-performing autistic subgroup (~ 30% of autistic individuals who performed below 2SDs of the neurotypical mean on at least one test), while a larger subgroup (~ 70%) performed within 1SD on at least 2 tests. The low-performing subgroup also had on average significantly more social communication difficulties and lower activation in the amygdala and fusiform gyrus than the high-performing subgroup. LIMITATIONS: Findings of autism expression recognition subgroups and their characteristics require independent replication. This is currently not possible, as there is no other existing dataset that includes all relevant measures. However, we demonstrated high internal robustness (91.6%) of findings between two clustering methods with fundamentally different assumptions, which is a critical pre-condition for independent replication. CONCLUSIONS: We identified a subgroup of autistic individuals with expression recognition difficulties and showed that this related to clinical and neurobiological characteristics. If replicated, expression recognition may serve as bio-behavioural stratification biomarker and aid in the development of targeted interventions for a subgroup of autistic individuals. En ligne : http://dx.doi.org/10.1186/s13229-022-00520-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491