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Faire une suggestionBrief report: replication of the psychometric characteristics of the behavioral inflexibility scale in an independent sample / Aaron R. DALLMAN in Journal of Autism and Developmental Disorders, 52-10 (October 2022)
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Titre : Brief report: replication of the psychometric characteristics of the behavioral inflexibility scale in an independent sample Type de document : texte imprimé Auteurs : Aaron R. DALLMAN, Auteur ; Clare HARROP, Auteur ; Luc LECAVALIER, Auteur ; Jim BODFISH, Auteur ; Sahana Nagabhushan KALBURGI, Auteur ; Desiree R. JONES, Auteur ; Jill HOLLWAY, Auteur ; Brian A. BOYD, Auteur Article en page(s) : p.4592-4596 Langues : Anglais (eng) Mots-clés : Autism Behavioral inflexibility Replication Index. décimale : PER Périodiques Résumé : The Behavioral Inflexibility Scale (BIS) is a recently developed measure of behavioral inflexibility, defined as rigid patterns of behavior that contrast with the need to be flexible when the situation calls for it. In this study, we sought to replicate previous findings on the psychometric properties of the BIS in a community sample. Data for this study were collected using in-person assessments of 163 autistic and 95 non-autistic children ages 3-17 and included the BIS, measures of social-communication ability and repetitive behaviors, and an assessment of cognitive ability. Our findings replicate the psychometric properties of the BIS, indicating that the measure is a valid measure of behavioral inflexibility in ASD. En ligne : http://dx.doi.org/10.1007/s10803-022-05515-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486
in Journal of Autism and Developmental Disorders > 52-10 (October 2022) . - p.4592-4596[article] Brief report: replication of the psychometric characteristics of the behavioral inflexibility scale in an independent sample [texte imprimé] / Aaron R. DALLMAN, Auteur ; Clare HARROP, Auteur ; Luc LECAVALIER, Auteur ; Jim BODFISH, Auteur ; Sahana Nagabhushan KALBURGI, Auteur ; Desiree R. JONES, Auteur ; Jill HOLLWAY, Auteur ; Brian A. BOYD, Auteur . - p.4592-4596.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 52-10 (October 2022) . - p.4592-4596
Mots-clés : Autism Behavioral inflexibility Replication Index. décimale : PER Périodiques Résumé : The Behavioral Inflexibility Scale (BIS) is a recently developed measure of behavioral inflexibility, defined as rigid patterns of behavior that contrast with the need to be flexible when the situation calls for it. In this study, we sought to replicate previous findings on the psychometric properties of the BIS in a community sample. Data for this study were collected using in-person assessments of 163 autistic and 95 non-autistic children ages 3-17 and included the BIS, measures of social-communication ability and repetitive behaviors, and an assessment of cognitive ability. Our findings replicate the psychometric properties of the BIS, indicating that the measure is a valid measure of behavioral inflexibility in ASD. En ligne : http://dx.doi.org/10.1007/s10803-022-05515-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 Gray matter covariations in autism: out-of-sample replication using the ENIGMA autism cohort / Ting MEI in Molecular Autism, 15 (2024)
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Titre : Gray matter covariations in autism: out-of-sample replication using the ENIGMA autism cohort Type de document : texte imprimé Auteurs : Ting MEI, Auteur ; Alberto LLERA, Auteur ; Natalie J. FORDE, Auteur ; Daan VAN ROOIJ, Auteur ; Dorothea L. FLORIS, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur Article en page(s) : 3p. Langues : Anglais (eng) Mots-clés : Humans Gray Matter/diagnostic imaging Autistic Disorder/diagnostic imaging Autism Spectrum Disorder/diagnostic imaging Retrospective Studies Magnetic Resonance Imaging/methods Brain/diagnostic imaging Autism Gray matter volume covariation Replication advisory board member of, and a speaker for Janssen Cilag BV, Eli Lilly, Shire, Lundbeck, Roche, 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 or royalties. The present work is unrelated to the above grants and relationships. The other authors report no biomedical financial interests or potential conflicts of interest. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (henceforth autism) is a complex neurodevelopmental condition associated with differences in gray matter (GM) volume covariations, as reported in our previous study of the Longitudinal European Autism Project (LEAP) data. To make progress on the identification of potential neural markers and to validate the robustness of our previous findings, we aimed to replicate our results using data from the Enhancing Neuroimaging Genetics Through Meta-Analysis (ENIGMA) autism working group. METHODS: We studied 781 autistic and 927 non-autistic individuals (6-30 years, IQ?? 50), across 37 sites. Voxel-based morphometry was used to quantify GM volume as before. Subsequently, we used spatial maps of the two autism-related independent components (ICs) previously identified in the LEAP sample as templates for regression analyses to separately estimate the ENIGMA-participant loadings to each of these two ICs. Between-group differences in participants' loadings on each component were examined, and we additionally investigated the relation between participant loadings and autistic behaviors within the autism group. RESULTS: The two components of interest, previously identified in the LEAP dataset, showed significant between-group differences upon regressions into the ENIGMA cohort. The associated brain patterns were consistent with those found in the initial identification study. The first IC was primarily associated with increased volumes of bilateral insula, inferior frontal gyrus, orbitofrontal cortex, and caudate in the autism group relative to the control group (? = 0.129, p = 0.013). The second IC was related to increased volumes of the bilateral amygdala, hippocampus, and parahippocampal gyrus in the autism group relative to non-autistic individuals (? = 0.116, p = 0.024). However, when accounting for the site-by-group interaction effect, no significant main effect of the group can be identified (p > 0.590). We did not find significant univariate association between the brain measures and behavior in autism (p > 0.085). LIMITATIONS: The distributions of age, IQ, and sex between LEAP and ENIGMA are statistically different from each other. Owing to limited access to the behavioral data of the autism group, we were unable to further our understanding of the neural basis of behavioral dimensions of the sample. CONCLUSIONS: The current study is unable to fully replicate the autism-related brain patterns from LEAP in the ENIGMA cohort. The diverse group effects across ENIGMA sites demonstrate the challenges of generalizing the average findings of the GM covariation patterns to a large-scale cohort integrated retrospectively from multiple studies. Further analyses need to be conducted to gain additional insights into the generalizability of these two GM covariation patterns. En ligne : https://dx.doi.org/10.1186/s13229-024-00583-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537
in Molecular Autism > 15 (2024) . - 3p.[article] Gray matter covariations in autism: out-of-sample replication using the ENIGMA autism cohort [texte imprimé] / Ting MEI, Auteur ; Alberto LLERA, Auteur ; Natalie J. FORDE, Auteur ; Daan VAN ROOIJ, Auteur ; Dorothea L. FLORIS, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur . - 3p.
Langues : Anglais (eng)
in Molecular Autism > 15 (2024) . - 3p.
Mots-clés : Humans Gray Matter/diagnostic imaging Autistic Disorder/diagnostic imaging Autism Spectrum Disorder/diagnostic imaging Retrospective Studies Magnetic Resonance Imaging/methods Brain/diagnostic imaging Autism Gray matter volume covariation Replication advisory board member of, and a speaker for Janssen Cilag BV, Eli Lilly, Shire, Lundbeck, Roche, 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 or royalties. The present work is unrelated to the above grants and relationships. The other authors report no biomedical financial interests or potential conflicts of interest. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (henceforth autism) is a complex neurodevelopmental condition associated with differences in gray matter (GM) volume covariations, as reported in our previous study of the Longitudinal European Autism Project (LEAP) data. To make progress on the identification of potential neural markers and to validate the robustness of our previous findings, we aimed to replicate our results using data from the Enhancing Neuroimaging Genetics Through Meta-Analysis (ENIGMA) autism working group. METHODS: We studied 781 autistic and 927 non-autistic individuals (6-30 years, IQ?? 50), across 37 sites. Voxel-based morphometry was used to quantify GM volume as before. Subsequently, we used spatial maps of the two autism-related independent components (ICs) previously identified in the LEAP sample as templates for regression analyses to separately estimate the ENIGMA-participant loadings to each of these two ICs. Between-group differences in participants' loadings on each component were examined, and we additionally investigated the relation between participant loadings and autistic behaviors within the autism group. RESULTS: The two components of interest, previously identified in the LEAP dataset, showed significant between-group differences upon regressions into the ENIGMA cohort. The associated brain patterns were consistent with those found in the initial identification study. The first IC was primarily associated with increased volumes of bilateral insula, inferior frontal gyrus, orbitofrontal cortex, and caudate in the autism group relative to the control group (? = 0.129, p = 0.013). The second IC was related to increased volumes of the bilateral amygdala, hippocampus, and parahippocampal gyrus in the autism group relative to non-autistic individuals (? = 0.116, p = 0.024). However, when accounting for the site-by-group interaction effect, no significant main effect of the group can be identified (p > 0.590). We did not find significant univariate association between the brain measures and behavior in autism (p > 0.085). LIMITATIONS: The distributions of age, IQ, and sex between LEAP and ENIGMA are statistically different from each other. Owing to limited access to the behavioral data of the autism group, we were unable to further our understanding of the neural basis of behavioral dimensions of the sample. CONCLUSIONS: The current study is unable to fully replicate the autism-related brain patterns from LEAP in the ENIGMA cohort. The diverse group effects across ENIGMA sites demonstrate the challenges of generalizing the average findings of the GM covariation patterns to a large-scale cohort integrated retrospectively from multiple studies. Further analyses need to be conducted to gain additional insights into the generalizability of these two GM covariation patterns. En ligne : https://dx.doi.org/10.1186/s13229-024-00583-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537 Lack of replication of previous autism spectrum disorder GWAS hits in European populations / Bà rbara TORRICO in Autism Research, 10-2 (February 2017)
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Titre : Lack of replication of previous autism spectrum disorder GWAS hits in European populations Type de document : texte imprimé Auteurs : Bà rbara TORRICO, Auteur ; Andreas G. CHIOCCHETTI, Auteur ; Elena BACCHELLI, Auteur ; Elisabetta TRABETTI, Auteur ; Amaia HERVAS, Auteur ; Barbara FRANKE, Auteur ; Jan K. BUITELAAR, Auteur ; Nanda N. ROMMELSE, Auteur ; Afsheen YOUSAF, Auteur ; Eftichia DUKETIS, Auteur ; Christine M. FREITAG, Auteur ; Rafaela CABALLERO-ANDALUZ, Auteur ; Amalia MARTINEZ-MIR, Auteur ; Francisco G. SCHOLL, Auteur ; Marta RIBASES, Auteur ; ITAN, Auteur ; Agatino BATTAGLIA, Auteur ; Giovanni MALERBA, Auteur ; Richard DELORME, Auteur ; Marion BENABOU, Auteur ; Elena MAESTRINI, Auteur ; Thomas BOURGERON, Auteur ; Bru CORMAND, Auteur ; Claudio TOMA, Auteur Article en page(s) : p.202-211 Langues : Anglais (eng) Mots-clés : genome-wide association study replication autism spectrum disorder European populations MACROD2 SEMA5A MSNP1 Index. décimale : PER Périodiques Résumé : Common variants contribute significantly to the genetics of autism spectrum disorder (ASD), although the identification of individual risk polymorphisms remains still elusive due to their small effect sizes and limited sample sizes available for association studies. During the last decade several genome-wide association studies (GWAS) have enabled the detection of a few plausible risk variants. The three main studies are family-based and pointed at SEMA5A (rs10513025), MACROD2 (rs4141463) and MSNP1 (rs4307059). In our study we attempted to replicate these GWAS hits using a case-control association study in five European populations of ASD patients and gender-matched controls, all Caucasians. Results showed no association of individual variants with ASD in any of the population groups considered or in the combined European sample. We performed a meta-analysis study across five European populations for rs10513025 (1,904 ASD cases and 2,674 controls), seven European populations for rs4141463 (2,855 ASD cases and 36,177 controls) and five European populations for rs4307059 (2,347 ASD cases and 2,764 controls). The results showed an odds ratio (OR) of 1.05 (95% CI = 0.84–1.32) for rs10513025, 1.0002 (95% CI = 0.93–1.08) for rs4141463 and 1.01 (95% CI = 0.92–1.1) for rs4307059, with no significant P-values (rs10513025, P = 0.73; rs4141463, P = 0.95; rs4307059, P = 0.9). No association was found when we considered either only high functioning autism (HFA), genders separately or only multiplex families. Ongoing GWAS projects with larger ASD cohorts will contribute to clarify the role of common variation in the disorder and will likely identify risk variants of modest effect not detected previously. En ligne : http://dx.doi.org/10.1002/aur.1662 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=303
in Autism Research > 10-2 (February 2017) . - p.202-211[article] Lack of replication of previous autism spectrum disorder GWAS hits in European populations [texte imprimé] / Bà rbara TORRICO, Auteur ; Andreas G. CHIOCCHETTI, Auteur ; Elena BACCHELLI, Auteur ; Elisabetta TRABETTI, Auteur ; Amaia HERVAS, Auteur ; Barbara FRANKE, Auteur ; Jan K. BUITELAAR, Auteur ; Nanda N. ROMMELSE, Auteur ; Afsheen YOUSAF, Auteur ; Eftichia DUKETIS, Auteur ; Christine M. FREITAG, Auteur ; Rafaela CABALLERO-ANDALUZ, Auteur ; Amalia MARTINEZ-MIR, Auteur ; Francisco G. SCHOLL, Auteur ; Marta RIBASES, Auteur ; ITAN, Auteur ; Agatino BATTAGLIA, Auteur ; Giovanni MALERBA, Auteur ; Richard DELORME, Auteur ; Marion BENABOU, Auteur ; Elena MAESTRINI, Auteur ; Thomas BOURGERON, Auteur ; Bru CORMAND, Auteur ; Claudio TOMA, Auteur . - p.202-211.
Langues : Anglais (eng)
in Autism Research > 10-2 (February 2017) . - p.202-211
Mots-clés : genome-wide association study replication autism spectrum disorder European populations MACROD2 SEMA5A MSNP1 Index. décimale : PER Périodiques Résumé : Common variants contribute significantly to the genetics of autism spectrum disorder (ASD), although the identification of individual risk polymorphisms remains still elusive due to their small effect sizes and limited sample sizes available for association studies. During the last decade several genome-wide association studies (GWAS) have enabled the detection of a few plausible risk variants. The three main studies are family-based and pointed at SEMA5A (rs10513025), MACROD2 (rs4141463) and MSNP1 (rs4307059). In our study we attempted to replicate these GWAS hits using a case-control association study in five European populations of ASD patients and gender-matched controls, all Caucasians. Results showed no association of individual variants with ASD in any of the population groups considered or in the combined European sample. We performed a meta-analysis study across five European populations for rs10513025 (1,904 ASD cases and 2,674 controls), seven European populations for rs4141463 (2,855 ASD cases and 36,177 controls) and five European populations for rs4307059 (2,347 ASD cases and 2,764 controls). The results showed an odds ratio (OR) of 1.05 (95% CI = 0.84–1.32) for rs10513025, 1.0002 (95% CI = 0.93–1.08) for rs4141463 and 1.01 (95% CI = 0.92–1.1) for rs4307059, with no significant P-values (rs10513025, P = 0.73; rs4141463, P = 0.95; rs4307059, P = 0.9). No association was found when we considered either only high functioning autism (HFA), genders separately or only multiplex families. Ongoing GWAS projects with larger ASD cohorts will contribute to clarify the role of common variation in the disorder and will likely identify risk variants of modest effect not detected previously. En ligne : http://dx.doi.org/10.1002/aur.1662 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=303 Links Between Autistic Traits, Feelings of Gender Dysphoria, and Mentalising Ability: Replication and Extension of Previous Findings from the General Population / Aimilia KALLITSOUNAKI in Journal of Autism and Developmental Disorders, 51-5 (May 2021)
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Titre : Links Between Autistic Traits, Feelings of Gender Dysphoria, and Mentalising Ability: Replication and Extension of Previous Findings from the General Population Type de document : texte imprimé Auteurs : Aimilia KALLITSOUNAKI, Auteur ; David M. WILLIAMS, Auteur ; Sophie E. LIND, Auteur Article en page(s) : p.1458-1465 Langues : Anglais (eng) Mots-clés : Autism Gender dysphoria Gender identity Mindreading Replication Theory of mind Index. décimale : PER Périodiques Résumé : Gender nonconformity is substantially elevated in the autistic population, but the reasons for this are currently unclear. In a recent study, Kallitsounaki and Williams (Kallitsounaki and Williams, Journal of Autism and Developmental Disorders, 2020; authors 1 and 2 of the current paper) found significant relations between autistic traits and both gender dysphoric feelings and recalled cross-gender behaviour, and between mentalising ability and gender dysphoric feelings. The current study successfully replicated these findings (results were supplemented with Bayesian analyses), in sample of 126 adults. Furthermore, it extended the previous finding of the role of mentalising in the relation between autistic traits and gender dysphoric feelings, by showing that mentalising fully mediated this link. Results provide a potential partial explanation for the increased rate of gender nonconformity in the autistic population. En ligne : http://dx.doi.org/10.1007/s10803-020-04626-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=445
in Journal of Autism and Developmental Disorders > 51-5 (May 2021) . - p.1458-1465[article] Links Between Autistic Traits, Feelings of Gender Dysphoria, and Mentalising Ability: Replication and Extension of Previous Findings from the General Population [texte imprimé] / Aimilia KALLITSOUNAKI, Auteur ; David M. WILLIAMS, Auteur ; Sophie E. LIND, Auteur . - p.1458-1465.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 51-5 (May 2021) . - p.1458-1465
Mots-clés : Autism Gender dysphoria Gender identity Mindreading Replication Theory of mind Index. décimale : PER Périodiques Résumé : Gender nonconformity is substantially elevated in the autistic population, but the reasons for this are currently unclear. In a recent study, Kallitsounaki and Williams (Kallitsounaki and Williams, Journal of Autism and Developmental Disorders, 2020; authors 1 and 2 of the current paper) found significant relations between autistic traits and both gender dysphoric feelings and recalled cross-gender behaviour, and between mentalising ability and gender dysphoric feelings. The current study successfully replicated these findings (results were supplemented with Bayesian analyses), in sample of 126 adults. Furthermore, it extended the previous finding of the role of mentalising in the relation between autistic traits and gender dysphoric feelings, by showing that mentalising fully mediated this link. Results provide a potential partial explanation for the increased rate of gender nonconformity in the autistic population. En ligne : http://dx.doi.org/10.1007/s10803-020-04626-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=445 Exploring EEG resting state differences in autism: sparse findings from a large cohort / Wenyi XIAO ; Nemanja VACI ; Michael X. COHEN ; Elizabeth MILNE in Molecular Autism, 16 (2025)
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Titre : Exploring EEG resting state differences in autism: sparse findings from a large cohort Type de document : texte imprimé Auteurs : Wenyi XIAO, Auteur ; Nemanja VACI, Auteur ; Michael X. COHEN, Auteur ; Elizabeth MILNE, Auteur Article en page(s) : 13 p. Langues : Anglais (eng) Mots-clés : Humans Electroencephalography Male Female Autistic Disorder/physiopathology/diagnosis Child Adolescent Adult Young Adult Rest Cohort Studies Child, Preschool Autism diagnosis Big data Biomarkers Heterogeneity NIMH data archive Neurodevelopmental disorders Replication Resting state data were drawn from the National Institute of Mental Health Data Archive (NDA). Consent for publication: Not applicable. Competing interests: The authors declare no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism is a complex neurodevelopmental condition, the precise neurobiological underpinnings of which remain elusive. Here, we focus on group differences in resting state EEG (rsEEG). Although many previous reports have pointed to differences between autistic and neurotypical participants in rsEEG, results have failed to replicate, sample sizes have typically been small, and only a small number of variables are reported in each study. METHODS: Here, we combined five datasets to create a large sample of autistic and neurotypical individuals (n = 776) and extracted 726 variables from each participant's data. We computed effect sizes and split-half replication rate for group differences between autistic and neurotypical individuals for each EEG variable while accounting for age, sex and IQ. Bootstrapping analysis with different sample sizes was done to establish how effect size and replicability varied with sample size. RESULTS: Despite the broad and exploratory approach, very few EEG measures varied with autism diagnosis, and when larger effects were found, the majority were not replicable under split-half testing. In the bootstrap analysis, smaller sample sizes were associated with larger effect sizes but lower replication rates. LIMITATIONS: Although we extracted a comprehensive set of EEG signal components from the data, there is the possibility that measures more sensitive to group differences may exist outside the set that we tested. The combination of data from different laboratories may have obscured group differences. However, our harmonisation process was sufficient to reveal several expected maturational changes in the EEG (e.g. delta power reduction with age), providing reassurance regarding both the integrity of the data and the validity of our data-handling and analysis approaches. CONCLUSIONS: Taken together, these data do not produce compelling evidence for a clear neurobiological signature that can be identified in autism. Instead, our results are consistent with heterogeneity in autism, and caution against studies that use autism diagnosis alone as a method to categorise complex and varied neurobiological profiles. En ligne : https://dx.doi.org/10.1186/s13229-025-00647-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555
in Molecular Autism > 16 (2025) . - 13 p.[article] Exploring EEG resting state differences in autism: sparse findings from a large cohort [texte imprimé] / Wenyi XIAO, Auteur ; Nemanja VACI, Auteur ; Michael X. COHEN, Auteur ; Elizabeth MILNE, Auteur . - 13 p.
Langues : Anglais (eng)
in Molecular Autism > 16 (2025) . - 13 p.
Mots-clés : Humans Electroencephalography Male Female Autistic Disorder/physiopathology/diagnosis Child Adolescent Adult Young Adult Rest Cohort Studies Child, Preschool Autism diagnosis Big data Biomarkers Heterogeneity NIMH data archive Neurodevelopmental disorders Replication Resting state data were drawn from the National Institute of Mental Health Data Archive (NDA). Consent for publication: Not applicable. Competing interests: The authors declare no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism is a complex neurodevelopmental condition, the precise neurobiological underpinnings of which remain elusive. Here, we focus on group differences in resting state EEG (rsEEG). Although many previous reports have pointed to differences between autistic and neurotypical participants in rsEEG, results have failed to replicate, sample sizes have typically been small, and only a small number of variables are reported in each study. METHODS: Here, we combined five datasets to create a large sample of autistic and neurotypical individuals (n = 776) and extracted 726 variables from each participant's data. We computed effect sizes and split-half replication rate for group differences between autistic and neurotypical individuals for each EEG variable while accounting for age, sex and IQ. Bootstrapping analysis with different sample sizes was done to establish how effect size and replicability varied with sample size. RESULTS: Despite the broad and exploratory approach, very few EEG measures varied with autism diagnosis, and when larger effects were found, the majority were not replicable under split-half testing. In the bootstrap analysis, smaller sample sizes were associated with larger effect sizes but lower replication rates. LIMITATIONS: Although we extracted a comprehensive set of EEG signal components from the data, there is the possibility that measures more sensitive to group differences may exist outside the set that we tested. The combination of data from different laboratories may have obscured group differences. However, our harmonisation process was sufficient to reveal several expected maturational changes in the EEG (e.g. delta power reduction with age), providing reassurance regarding both the integrity of the data and the validity of our data-handling and analysis approaches. CONCLUSIONS: Taken together, these data do not produce compelling evidence for a clear neurobiological signature that can be identified in autism. Instead, our results are consistent with heterogeneity in autism, and caution against studies that use autism diagnosis alone as a method to categorise complex and varied neurobiological profiles. En ligne : https://dx.doi.org/10.1186/s13229-025-00647-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 Emotional decision-making in autism spectrum disorder: the roles of interoception and alexithymia / Punit SHAH in Molecular Autism, 7 (2016)
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PermalinkThe "Tetris effect": autistic and non-autistic people share an implicit drive for perceptual cohesion / Brónagh MCCOY ; Esther Wing-Chi YIP ; Carrie ALLISON ; Simon BARON-COHEN ; Rebecca P. LAWSON in Molecular Autism, 16 (2025)
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PermalinkTowards robust and replicable sex differences in the intrinsic brain function of autism / Dorothea L. FLORIS in Molecular Autism, 12 (2021)
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