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Liste des citations scientifiques incluses dans l’audit, avec leur score final de concordance et leur statut de vérification.
Citation n° 501
Référence citée
Just M.A. et al., 2012. Autism as a neural systems disorder. Brain.
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MA Just; TA Keller; VL Malave (2012). Autism as a neural systems disorder: a theory of frontal-posterior underconnectivity. https://doi.org/google scholar
Citation n° 502
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D'Cruz A.-M. et al., 2013. Reduced behavioral flexibility in ASD. Biol Psychiatry.
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D'Cruz AM; Ragozzino ME; Mosconi MW (2013). Reduced behavioral flexibility in autism spectrum disorders. Neuropsychology. https://doi.org/10.1037/a0031721
Citation n° 503
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South M. et al., 2017. Ruminative thinking and repetitive cognition in ASD. J Autism Dev Disord.
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K Cooper; A Russell; S Calley (2022). Cognitive processes in autism: Repetitive thinking in autistic versus non-autistic adults. . https://doi.org/10.1177/13623613211034380
Citation n° 504
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Menon V., 2011. Large-scale brain networks and psychopathology: A triple network model. Trends Cogn Sci.
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Menon, Vinod; Crossref; Crossref (2011). Large-scale brain networks and psychopathology: a unifying triple network model. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2011.08.003
Citation n° 505
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Courchesne E. et al., 2019. Functional connectivity of default mode network in ASD. Neurolmage: Clinical.
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Amritha Harikumar; Chao Zhang; Chase C. Dougherty (2023). 44 Functional Connectivity In The Default Mode Network Of ASD and ADHD. Journal of the International Neuropsychological Society. https://doi.org/10.1017/s1355617723005945
Citation n° 506
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Uljarevic M. et al., 2017. Cognitive rigidity and intolerance of uncertainty in ASD: A meta-analysis. Autism.
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S Bird; LAE Moid; CA Jones (2024). The relationships between restrictive/repetitive behaviours, intolerance of uncertainty, and anxiety in autism: A systematic review and meta-analysis. ... in Autism Spectrum Disorders. https://doi.org/google scholar
Citation n° 507
Référence citée
Pérez Velazquez J.L. et Fernandez Galan R., « Information Gain in the Brain's Resting State: A New Perspective on Autism », publié dans Frontiers in Neuroinformatics.
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Pérez Velazquez, José L.; Galan, Roberto F.; Crossref (2013). Information gain in the brain's resting state: A new perspective on autism. Frontiers in Neuroinformatics. https://doi.org/10.3389/fninf.2013.00037
Citation n° 508
Référence citée
Stavropoulos, K. K., & Carver, L. J. (2014). Reward sensitivity to faces versus objects in children with autism spectrum disorder and typically developing children. Journal of Child Psychology and Psychiatry, 55(10), 1164-1172. DOI: 10.1111/jcpp.12164
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Stavropoulos, Katherine K. M.; Carver, Leslie J.; Crossref (2014). Reward sensitivity to faces versus objects in children: an ERP study. Social Cognitive and Affective Neuroscience, 9(10), 1569-1575. https://doi.org/10.1093/scan/nst149
Citation n° 509
Référence citée
Stavropoulos, K. K., et al. (2018). Evidence for altered reward prediction error signals in autism. Molecular Autism, 9, 1-13. DOI: 10.1186/s13229-018-0207-1
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Stavropoulos, Katherine K. M.; Carver, Leslie J.; Crossref (2014). Effect of Familiarity on Reward Anticipation in Children with and without Autism Spectrum Disorders. PLoS ONE, 9(9), e106667. https://doi.org/10.1371/journal.pone.0106667
Citation n° 510
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Guiraud, J. A., et al. (2011). Differential habituation to repeated sounds in infants at risk for autism. Brain Research, 1402, 155-162. DOI: 10.1016/j.brainres.2011.06.035
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Guiraud, Jeanne A.; Kushnerenko, Elena; Tomalski, Przemyslaw (2011). Differential habituation to repeated sounds in infants at high risk for autism. NeuroReport, 22(16), 845-849. https://doi.org/10.1097/wnr.0b013e32834c0bec
Citation n° 511
Référence citée
Uddin, L. Q., et al. (2013). Salience network-based classification and prediction of symptom severity in children with autism. JAMA Psychiatry, 70(8), 869-879. DOI: 10.1001/jamapsychiatry.2013.104
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Uddin, Lucina Q.; Supekar, Kaustubh; Lynch, Charles J. (2013). Salience Network-Based Classification and Prediction of Symptom Severity in Children With Autism. JAMA Psychiatry, 70(8), 869. https://doi.org/10.1001/jamapsychiatry.2013.104
Citation n° 512
Référence citée
Guo, X., et al. (2016). Alterations in amygdala functional connectivity in children and adolescents with autism spectrum disorder. Psychiatry Research: Neuroimaging, 257, 47-53. DOI: 10.1016/j.pscychresns.2016.10.005
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Guo, Xiaonan; Duan, Xujun; Long, Zhiliang (2016). Decreased amygdala functional connectivity in adolescents with autism: A resting-state fMRI study. Psychiatry Research: Neuroimaging, 257, 47-56. https://doi.org/10.1016/j.pscychresns.2016.10.005
Citation n° 513
Référence citée
Taylor, J. L., & Corbett, B. A. (2014). A review of rhythm and synchrony in children with autism spectrum disorders. Psychoneuroendocrinology, 49, 207-216. DOI: 10.1016/j.psyneuen.2014.07.015
Référence retrouvée
Taylor, Julie Lounds; Corbett, Blythe A.; Crossref (2014). A review of rhythm and responsiveness of cortisol in individuals with autism spectrum disorders. Psychoneuroendocrinology, 49, 207-228. https://doi.org/10.1016/j.psyneuen.2014.07.015
Citation n° 514
Référence citée
Robertson & Baron-Cohen, 2017. Sensory perception in autism. Nature Reviews Neuroscience.
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Caroline E. Robertson; Simon Baron-Cohen; Crossref+OpenAlex (2017). Sensory perception in autism. Nature reviews. Neuroscience, 18(11), 671. https://doi.org/10.1038/nrn.2017.112
Citation n° 515
Référence citée
South & Rodgers, 2017. Sensory, emotional and cognitive contributions to anxiety in autism spectrum disorders.
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South, Mikle; Rodgers, Jacqui; Crossref (2017). Sensory, Emotional and Cognitive Contributions to Anxiety in Autism Spectrum Disorders. Frontiers in Human Neuroscience, 11. https://doi.org/10.3389/fnhum.2017.00020
Citation n° 516
Référence citée
Boulter, Freeston, South & Rodgers, 2014. Intolerance of uncertainty as a framework for understanding anxiety in autism.
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Boulter, Christina; Freeston, Mark; South, Mikle (2014). Intolerance of Uncertainty as a Framework for Understanding Anxiety in Children and Adolescents with Autism Spectrum Disorders. Journal of Autism and Developmental Disorders, 44(6), 1391-1402. https://doi.org/10.1007/s10803-013-2001-x
Citation n° 517
Référence citée
Van de Cruys et al., 2014. Precise minds in uncertain worlds: Predictive coding in autism.
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Van de Cruys, Sander; Evers, Kris; Van der Hallen, Ruth (2014). Precise minds in uncertain worlds: Predictive coding in autism. Psychological Review, 121(4), 649-675. https://doi.org/10.1037/a0037665
Citation n° 518
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South et al., 2011. Unbounded autobiographical memory and executive function in autism.
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Ozonoff, Sally; South, Mikle; Provencal, Sherri (2005). Executive Functions. Handbook of Autism and Pervasive Developmental Disorders, 606-627. https://doi.org/10.1002/9780470939345.ch22
Citation n° 519
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Rodgers et al., 2012. The relationship between anxiety and repetitive behaviours in autism spectrum disorder.
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Rodgers, J.; Glod, M.; Connolly, B. (2012). The Relationship Between Anxiety and Repetitive Behaviours in Autism Spectrum Disorder. Journal of Autism and Developmental Disorders, 42(11), 2404-2409. https://doi.org/10.1007/s10803-012-1531-y
Citation n° 520
Référence citée
Green et al., 2015. Neurobiology of sensory overresponsivity in youth with autism spectrum disorders.
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Green, Shulamite A.; Hernandez, Leanna; Tottenham, Nim (2015). Neurobiology of Sensory Overresponsivity in Youth With Autism Spectrum Disorders. JAMA Psychiatry, 72(8), 778. https://doi.org/10.1001/jamapsychiatry.2015.0737
Citation n° 521
Référence citée
Dajani & Uddin, 2015. Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience.
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Dajani, Dina R.; Uddin, Lucina Q.; Crossref (2015). Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience. Trends in Neurosciences, 38(9), 571-578. https://doi.org/10.1016/j.tins.2015.07.003
Citation n° 522
Référence citée
Hoshino et al., 1987. Cortisol response in autistic children. Psychiatry and Clinical Neurosciences.
Référence retrouvée
Jasna Marinovic-Curin; Ivana Marinovic-Terzic; Zorana Bujas-Petkovic (2007). Slower cortisol response during ACTH stimulation test in autistic children. European Child & Adolescent Psychiatry, 17(1), 39. https://doi.org/10.1007/s00787-007-0632-1
Citation n° 523
Référence citée
Taylor & Corbett, 2014. A review of rhythm and responsiveness of cortisol in individuals with autism. Psychoneuroendocrinology.
Référence retrouvée
Taylor, Julie Lounds; Corbett, Blythe A.; Crossref (2014). A review of rhythm and responsiveness of cortisol in individuals with autism spectrum disorders. Psychoneuroendocrinology, 49, 207-228. https://doi.org/10.1016/j.psyneuen.2014.07.015
Citation n° 524
Référence citée
Langmann, A., Becker, J., Poustka, L., Becker, K., & Kamp-Becker, I. (2017). Diagnostic utility of the Autism Diagnostic Observation Schedule in a clinical sample of adolescents and adults. Research in Autism Spectrum Disorders, 34, 34-43. DOI: 10.1016/j.rasd.2016.11.012
Référence retrouvée
Langmann, Anika; Becker, Joachim; Poustka, Luise (2017). Diagnostic utility of the autism diagnostic observation schedule in a clinical sample of adolescents and adults. Research in Autism Spectrum Disorders, 34, 34-43. https://doi.org/10.1016/j.rasd.2016.11.012
Citation n° 525
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Bastiaansen, J. A., Meffert, H., Hein, S., Huizinga, P., et al. (2011). Diagnosing Autism Spectrum Disorders in Adults: the Use of Autism Diagnostic Observation Schedule (ADOS) Module 4. Journal of Autism and Developmental Disorders, 41, 1256-1266. DOI: 10.1007/s10803-010-1157-x
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Bastiaansen, Jojanneke A.; Meffert, Harma; Hein, Simone (2011). Diagnosing Autism Spectrum Disorders in Adults: the Use of Autism Diagnostic Observation Schedule (ADOS) Module 4. Journal of Autism and Developmental Disorders, 41(9), 1256-1266. https://doi.org/10.1007/s10803-010-1157-x
Citation n° 526
Référence citée
Wetherhill, S., et al. (2021). Predicting diagnostic outcome in adult autism spectrum disorder using the Autism Diagnostic Observation Schedule, second edition. BMC Psychiatry, 21(1), 24. DOI: 10.1186/s12888-020-03028-7
Référence retrouvée
Adamou, Marios; Jones, Sarah L.; Wetherhill, Stephanie (2021). Predicting diagnostic outcome in adult autism spectrum disorder using the autism diagnostic observation schedule, second edition. BMC Psychiatry, 21(1). https://doi.org/10.1186/s12888-020-03028-7
Citation n° 527
Référence citée
Fusar-Poli, L., Brondino, N., Rocchetti, M., Panisi, C., Provenzani, U., Damiani, S., & Politi, P. (2017). Diagnosing ASD in Adults Without ID: Accuracy of the ADOS-2 and the ADI-R. Journal of Autism and Developmental Disorders, 47(11), 3370-3379. DOI: 10.1007/s10803-017-3258-2
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Fusar-Poli, Laura; Brondino, Natascia; Rocchetti, Matteo (2017). Diagnosing ASD in Adults Without ID: Accuracy of the ADOS-2 and the ADI-R. Journal of Autism and Developmental Disorders, 47(11), 3370-3379. https://doi.org/10.1007/s10803-017-3258-2
Citation n° 528
Référence citée
Hull, L., Petrides, K. V., Allison, C., Smith, P., Baron-Cohen, S., Lai, M.-C., & Mandy, W. (2017). « Putting on My Best Normal »: Social Camouflaging in Adults with Autism Spectrum Conditions. Journal of Autism and Developmental Disorders, 47(8), 2519-2534. DOI: 10.1007/s10803-017-3166-5
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Hull, Laura; Petrides, K. V.; Allison, Carrie (2017). “Putting on My Best Normal”: Social Camouflaging in Adults with Autism Spectrum Conditions. Journal of Autism and Developmental Disorders, 47(8), 2519-2534. https://doi.org/10.1007/s10803-017-3166-5
Citation n° 529
Référence citée
Bargiela, S., Steward, R., & Mandy, W. (2016). The experiences of late-diagnosed women with autism spectrum conditions: an investigation of the female autism phenotype. Journal of Autism and Developmental Disorders, 46, 3281-3294. DOI: 10.1007/s10803-016-2872-8
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Bargiela, Sarah; Steward, Robyn; Mandy, William (2016). The Experiences of Late-diagnosed Women with Autism Spectrum Conditions: An Investigation of the Female Autism Phenotype. Journal of Autism and Developmental Disorders, 46(10), 3281-3294. https://doi.org/10.1007/s10803-016-2872-8
Citation n° 530
Référence citée
Frigaux, A., Evrard, R., & Lighezzolo-Alnot, J. (2019). ADI-R et ADOS face au diagnostic différentiel des troubles du spectre autistique: intérêts, limites et ouvertures. L'Encéphale, 45(5), 441-448. DOI: 10.1016/j.encep.2019.07.002
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Frigaux, A.; Evrard, R.; Lighezzolo-Alnot, J. (2019). L’ADI-R et l’ADOS face au diagnostic différentiel des troubles du spectre autistique: intérêts, limites et ouvertures. L'Encéphale, 45(5), 441-448. https://doi.org/10.1016/j.encep.2019.07.002
Citation n° 531
Référence citée
Cassidy, S., Bradley, L., Shaw, R., & Baron-Cohen, S. (2018). Risk markers for suicidality in autistic adults. Molecular Autism, 9, 42.
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Cassidy, Sarah; Bradley, Louise; Shaw, Rebecca (2018). Risk markers for suicidality in autistic adults. Molecular Autism, 9(1). https://doi.org/10.1186/s13229-018-0226-4
Citation n° 532
Référence citée
Raymaker, D. M., et al. (2020). Having All of Your Internal Resources Exhausted Beyond Measure and Being Left with No Clean-Up Crew: Defining Autistic Burnout. Autism in Adulthood, 2(2), 132 à 143.
Référence retrouvée
Raymaker, Dora M.; Teo, Alan R.; Steckler, Nicole A. (2020). “Having All of Your Internal Resources Exhausted Beyond Measure and Being Left with No Clean-Up Crew”: Defining Autistic Burnout. Autism in Adulthood, 2(2), 132-143. https://doi.org/10.1089/aut.2019.0079
Citation n° 533
Référence citée
Hull, L., et al. (2019). Understanding the Reasons, Contexts and Costs of Camouflaging for Autistic Adults. Journal of Autism and Developmental Disorders.
Référence retrouvée
E Cage; Z Troxell-Whitman; Google Scholar (2019). Understanding the reasons, contexts and costs of camouflaging for autistic adults. ... of autism and developmental disorders. https://doi.org/10.1007/s10803-018-03878-x