Autistic Adults Show Intact Learning on a Visuospatial Serial Reaction Time Task / Isaac N. TREVES in Journal of Autism and Developmental Disorders, 54-4 (April 2024)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 54-4 (April 2024) . - p.1549-1557 Titre : Autistic Adults Show Intact Learning on a Visuospatial Serial Reaction Time Task Type de document : Texte imprimé et/ou numérique Auteurs : Isaac N. TREVES, Auteur ; Jonathan CANNON, Auteur ; Eren SHIN, Auteur ; Cindy E. LI, Auteur ; Lindsay BUNGERT, Auteur ; Amanda O?BRIEN, Auteur ; Annie CARDINAUX, Auteur ; Pawan SINHA, Auteur ; John D. E. GABRIELI, Auteur Article en page(s) : p.1549-1557 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Some theories have proposed that autistic individuals have difficulty learning predictive relationships. We tested this hypothesis using a serial reaction time task in which participants learned to predict the locations of a repeating sequence of target locations. We conducted a large-sample online study with 61 autistic and 71 neurotypical adults. The autistic group had slower overall reaction times, but demonstrated sequence-specific learning equivalent to the neurotypical group, consistent with other findings of typical procedural memory in autism. The neurotypical group, however, made significantly more prediction-related errors early in the experiment when the stimuli changed from repeated sequences to random locations, suggesting certain limited behavioural differences in the learning or utilization of predictive relationships for autistic adults. En ligne : https://doi.org/10.1007/s10803-023-05894-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=526 [article] Autistic Adults Show Intact Learning on a Visuospatial Serial Reaction Time Task [Texte imprimé et/ou numérique] / Isaac N. TREVES, Auteur ; Jonathan CANNON, Auteur ; Eren SHIN, Auteur ; Cindy E. LI, Auteur ; Lindsay BUNGERT, Auteur ; Amanda O?BRIEN, Auteur ; Annie CARDINAUX, Auteur ; Pawan SINHA, Auteur ; John D. E. GABRIELI, Auteur . - p.1549-1557. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 54-4 (April 2024) . - p.1549-1557 Index. décimale : PER Périodiques Résumé : Some theories have proposed that autistic individuals have difficulty learning predictive relationships. We tested this hypothesis using a serial reaction time task in which participants learned to predict the locations of a repeating sequence of target locations. We conducted a large-sample online study with 61 autistic and 71 neurotypical adults. The autistic group had slower overall reaction times, but demonstrated sequence-specific learning equivalent to the neurotypical group, consistent with other findings of typical procedural memory in autism. The neurotypical group, however, made significantly more prediction-related errors early in the experiment when the stimuli changed from repeated sequences to random locations, suggesting certain limited behavioural differences in the learning or utilization of predictive relationships for autistic adults. En ligne : https://doi.org/10.1007/s10803-023-05894-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=526

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 et/ou numérique 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 et/ou numérique] / 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 et/ou numérique Auteurs : Anila M. D'MELLO, Auteur ; Isabelle R. FROSCH, Auteur ; Cindy E. LI, Auteur ; Annie L. 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 et/ou numérique] / Anila M. D'MELLO, Auteur ; Isabelle R. FROSCH, Auteur ; Cindy E. LI, Auteur ; Annie L. 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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