Cerebellar gray matter differentiates children with early language delay in autism / Anila M. D'MELLO in Autism Research, 9-11 (November 2016)  

Public ISBD [article]  inAutism Research > 9-11 (November 2016) . - p.1191-1204 Titre : Cerebellar gray matter differentiates children with early language delay in autism Type de document : texte imprimé Auteurs : Anila M. D'MELLO, Auteur ; Dorothea M. MOORE, Auteur ; Deana CROCETTI, Auteur ; Stewart H. MOSTOFSKY, Auteur ; Catherine J. STOODLEY, Auteur Article en page(s) : p.1191-1204 Langues : Anglais (eng) Mots-clés : autism  cerebellum  early language delay  voxel-based morphometry  ADOS  imaging Index. décimale : PER Périodiques Résumé : Early language delay (ELD) is one of the earliest indicators of autism spectrum disorder (ASD), and predicts later cognitive and behavioral outcomes. We aimed to determine the neural correlates of ELD in autism, and examine the relationships between gray matter (GM), age of first word/phrase, and core ASD symptoms. We used voxel-based morphometry to examine whole-brain differences in GM in 8–13 year old children with autism (n = 13 ELD; n = 22 non-ELD) and 35 age-matched typically developing (TD) children. Multiple regression analyses examined the relationships between GM, age of first word/phrase, and autism diagnostic observation schedule (ADOS) scores. Composite age of first word/phrase negatively correlated with GM throughout the cerebellum. Both ASD groups (ELD and non-ELD) had reduced GM in right cerebellar Crus I/II when compared to TD children. Left cerebellar Crus I/II was the only region in the brain that differentiated ELD and non-ELD children, with ELD children showing reduced GM relative to both non-ELD and TD groups. Group×score interactions converged in left Crus I/II, such that the non-ELD group showed poorer ADOS scores with increasing GM, whereas the ELD group showed poorer ADOS scores as GM decreased. Reduced GM in right cerebellar Crus I/I was related ASD diagnosis, while children with ELD showed additional reduced GM in left Crus I/II. These findings highlight the importance of specific cerebellar networks in both ASD and early language development, and suggest that bilateral disruption in cerebellar regions that interconnect with fronto-parietal networks could impact language acquisition in ASD. En ligne : http://dx.doi.org/10.1002/aur.1622 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297 [article] Cerebellar gray matter differentiates children with early language delay in autism [texte imprimé] / Anila M. D'MELLO, Auteur ; Dorothea M. MOORE, Auteur ; Deana CROCETTI, Auteur ; Stewart H. MOSTOFSKY, Auteur ; Catherine J. STOODLEY, Auteur . - p.1191-1204. Langues : Anglais (eng) in Autism Research > 9-11 (November 2016) . - p.1191-1204 Mots-clés : autism  cerebellum  early language delay  voxel-based morphometry  ADOS  imaging Index. décimale : PER Périodiques Résumé : Early language delay (ELD) is one of the earliest indicators of autism spectrum disorder (ASD), and predicts later cognitive and behavioral outcomes. We aimed to determine the neural correlates of ELD in autism, and examine the relationships between gray matter (GM), age of first word/phrase, and core ASD symptoms. We used voxel-based morphometry to examine whole-brain differences in GM in 8–13 year old children with autism (n = 13 ELD; n = 22 non-ELD) and 35 age-matched typically developing (TD) children. Multiple regression analyses examined the relationships between GM, age of first word/phrase, and autism diagnostic observation schedule (ADOS) scores. Composite age of first word/phrase negatively correlated with GM throughout the cerebellum. Both ASD groups (ELD and non-ELD) had reduced GM in right cerebellar Crus I/II when compared to TD children. Left cerebellar Crus I/II was the only region in the brain that differentiated ELD and non-ELD children, with ELD children showing reduced GM relative to both non-ELD and TD groups. Group×score interactions converged in left Crus I/II, such that the non-ELD group showed poorer ADOS scores with increasing GM, whereas the ELD group showed poorer ADOS scores as GM decreased. Reduced GM in right cerebellar Crus I/I was related ASD diagnosis, while children with ELD showed additional reduced GM in left Crus I/II. These findings highlight the importance of specific cerebellar networks in both ASD and early language development, and suggest that bilateral disruption in cerebellar regions that interconnect with fronto-parietal networks could impact language acquisition in ASD. En ligne : http://dx.doi.org/10.1002/aur.1622 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297

Development of a Self-Report Measure of Prediction in Daily Life: The Prediction-Related Experiences Questionnaire / Toni A. MAY ; Kristin L. K. KOSKEY ; Lindsay BUNGERT ; Annie CARDINAUX ; Jonathan CANNON ; Isaac N. TREVES ; Anila M. D'MELLO ; Robert M. JOSEPH ; Cindy LI ; Sidney DIAMOND ; John D. E. GABRIELI ; Pawan SINHA in Journal of Autism and Developmental Disorders, 55-7 (July 2025)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 55-7 (July 2025) . - p.2550-2565 Titre : Development of a Self-Report Measure of Prediction in Daily Life: The Prediction-Related Experiences Questionnaire Type de document : texte imprimé Auteurs : Toni A. MAY, Auteur ; Kristin L. K. KOSKEY, Auteur ; Lindsay BUNGERT, Auteur ; Annie CARDINAUX, Auteur ; Jonathan CANNON, Auteur ; Isaac N. TREVES, Auteur ; Anila M. D'MELLO, Auteur ; Robert M. JOSEPH, Auteur ; Cindy LI, Auteur ; Sidney DIAMOND, Auteur ; John D. E. GABRIELI, Auteur ; Pawan SINHA, Auteur Article en page(s) : p.2550-2565 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Predictions are complex, multisensory, and dynamic processes involving real-time adjustments based on environmental inputs. Disruptions to prediction abilities have been proposed to underlie characteristics associated with autism. While there is substantial empirical literature related to prediction, the field lacks a self-assessment measure of prediction skills related to daily tasks. Such a measure would be useful to better understand the nature of day-to-day prediction-related activities and characterize these abilities in individuals who struggle with prediction. En ligne : https://doi.org/10.1007/s10803-024-06379-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=559 [article] Development of a Self-Report Measure of Prediction in Daily Life: The Prediction-Related Experiences Questionnaire [texte imprimé] / Toni A. MAY, Auteur ; Kristin L. K. KOSKEY, Auteur ; Lindsay BUNGERT, Auteur ; Annie CARDINAUX, Auteur ; Jonathan CANNON, Auteur ; Isaac N. TREVES, Auteur ; Anila M. D'MELLO, Auteur ; Robert M. JOSEPH, Auteur ; Cindy LI, Auteur ; Sidney DIAMOND, Auteur ; John D. E. GABRIELI, Auteur ; Pawan SINHA, Auteur . - p.2550-2565. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 55-7 (July 2025) . - p.2550-2565 Index. décimale : PER Périodiques Résumé : Predictions are complex, multisensory, and dynamic processes involving real-time adjustments based on environmental inputs. Disruptions to prediction abilities have been proposed to underlie characteristics associated with autism. While there is substantial empirical literature related to prediction, the field lacks a self-assessment measure of prediction skills related to daily tasks. Such a measure would be useful to better understand the nature of day-to-day prediction-related activities and characterize these abilities in individuals who struggle with prediction. En ligne : https://doi.org/10.1007/s10803-024-06379-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=559

Exclusion of females in autism research: Empirical evidence for a "leaky" recruitment-to-research pipeline / Anila M. D'MELLO in Autism Research, 15-10 (October 2022)  

Public ISBD [article]  inAutism Research > 15-10 (October 2022) . - p.1929-1940 Titre : Exclusion of females in autism research: Empirical evidence for a "leaky" recruitment-to-research pipeline Type de document : texte imprimé Auteurs : Anila M. D'MELLO, Auteur ; Isabelle R. FROSCH, Auteur ; Cindy E. LI, Auteur ; Annie CARDINAUX, Auteur ; John D. E. GABRIELI, Auteur Article en page(s) : p.1929-1940 Langues : Anglais (eng) Mots-clés : Abide  Ados  Autism Physical Health Survey  Channel 4  Images  LifeLines  Musicial Universe  Spark  autism spectrum disorder  diagnosis  exclusion criteria  females  inclusion criteria  recruitment  sex differences Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is characterized by challenges in social communication and the presence of repetitive behaviors or restricted interests. Notably, males are four times as likely as females to be diagnosed with autism. Despite efforts to increase representation and characterization of autistic females, research studies consistently enroll small samples of females, or exclude females altogether. Importantly, researchers often rely on standardized measures to confirm diagnosis prior to enrollment in research studies. We retrospectively analyzed the effects of one such measure (Autism Diagnostic Observation Schedule, ADOS) on research inclusion/exclusion rates by sex in autistic adults, all of whom had a preexisting community diagnosis of autism (n = 145, 95 male, 50 female). Using the ADOS as a confirmatory diagnostic measure resulted in the exclusion of autistic females at a rate over 2.5 times higher than that of autistic males. We compared sex ratios in our sample to those in other large, publically available datasets that rely either on community diagnosis (6 datasets, total n = 42,209) or standardized assessments (2 datasets, total n = 214) to determine eligibility of participants for research. Reliance on community diagnosis rather than confirmatory diagnostic assessments resulted in significantly more equal sex ratios. These results provide evidence for a "leaky" recruitment-to-research pipeline for females in autism research. LAY SUMMARY: Despite efforts to increase the representation of autistic females in research, studies consistently enroll small samples of females or exclude females altogether. We find that despite making up almost 50% of the initially recruited sample based upon self-report of community diagnosis, autistic females are disproportonately excluded from research participation as a result of commonly used autism diagnostic measures. In our sample, and several other publically available datasets, reliance on community diagnosis resulted in significantly more equal sex ratios. En ligne : http://dx.doi.org/10.1002/aur.2795 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 [article] Exclusion of females in autism research: Empirical evidence for a "leaky" recruitment-to-research pipeline [texte imprimé] / Anila M. D'MELLO, Auteur ; Isabelle R. FROSCH, Auteur ; Cindy E. LI, Auteur ; Annie CARDINAUX, Auteur ; John D. E. GABRIELI, Auteur . - p.1929-1940. Langues : Anglais (eng) in Autism Research > 15-10 (October 2022) . - p.1929-1940 Mots-clés : Abide  Ados  Autism Physical Health Survey  Channel 4  Images  LifeLines  Musicial Universe  Spark  autism spectrum disorder  diagnosis  exclusion criteria  females  inclusion criteria  recruitment  sex differences Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is characterized by challenges in social communication and the presence of repetitive behaviors or restricted interests. Notably, males are four times as likely as females to be diagnosed with autism. Despite efforts to increase representation and characterization of autistic females, research studies consistently enroll small samples of females, or exclude females altogether. Importantly, researchers often rely on standardized measures to confirm diagnosis prior to enrollment in research studies. We retrospectively analyzed the effects of one such measure (Autism Diagnostic Observation Schedule, ADOS) on research inclusion/exclusion rates by sex in autistic adults, all of whom had a preexisting community diagnosis of autism (n = 145, 95 male, 50 female). Using the ADOS as a confirmatory diagnostic measure resulted in the exclusion of autistic females at a rate over 2.5 times higher than that of autistic males. We compared sex ratios in our sample to those in other large, publically available datasets that rely either on community diagnosis (6 datasets, total n = 42,209) or standardized assessments (2 datasets, total n = 214) to determine eligibility of participants for research. Reliance on community diagnosis rather than confirmatory diagnostic assessments resulted in significantly more equal sex ratios. These results provide evidence for a "leaky" recruitment-to-research pipeline for females in autism research. LAY SUMMARY: Despite efforts to increase the representation of autistic females in research, studies consistently enroll small samples of females or exclude females altogether. We find that despite making up almost 50% of the initially recruited sample based upon self-report of community diagnosis, autistic females are disproportonately excluded from research participation as a result of commonly used autism diagnostic measures. In our sample, and several other publically available datasets, reliance on community diagnosis resulted in significantly more equal sex ratios. En ligne : http://dx.doi.org/10.1002/aur.2795 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488

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