Le profil cognitif au service des apprentissages : optimiser le potentiel des enfants sur le spectre de l’autisme

Courchesne, Valérie; Nader, Anne-Marie; Girard, Dominique; Bouchard, Valérie; Danis, Éliane; Soulières, Isabelle

doi:https://doi.org/10.7202/1040041ar

Akshoomoff, N. (2006). Use of the Mullen Scales of Early Learning for the assessment of young children with autism spectrum disorders. Child Neuropsychology, 12(4-5), 269-277. doi: 10.1080/09297040500473714

10.1080/09297040500473714 Google Scholar

Alderson-Day, B. (2014). Verbal problem-solving difficulties in autism spectrum disorders and atypical language development. Autism Research 7(6), 720-730. doi: 10.1002/aur.1424

10.1002/aur.1424 Google Scholar

American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders, 5^e édition (DSM-5). doi: 10.1176/appi.books.9780890425596.744053

10.1176/appi.books.9780890425596 Google Scholar

Atkin, K., & Lorch, M. P. (2006). Hyperlexia in a 4-year-old boy with autistic spectrum disorder. Journal of Neurolinguistics, 19(4), 253-269. doi: 10.1016/j.jneuroling.2005.11.006

10.1016/j.jneuroling.2005.11.006 Google Scholar

Baird, G., Simonoff, E., Pickles, A., Chandler, S., Loucas, T., Meldrum, D., & Charman, T. (2006). Prevalence of disorders of the autism spectrum in a population cohort of children in South Thames: the special needs and autism project (SNAP). The Lancet, 368(9531), 210-215. doi: http://dx.doi.org/10.1016/S0140-6736(06)69041-7

10.1016/S0140-6736(06)69041-7 Google Scholar

Baldo, J. V., Bunge, S. A., Wilson, S. M., & Dronkers, N. F. (2010). Is relational reasoning dependent on language? A voxel-based lesion symptom mapping study. Brain and Language, 113(2), 59-64. doi: 10.1016/j.bandl.2010.01.004

10.1016/j.bandl.2010.01.004 Google Scholar

Barbeau, E. B., Soulières, I., Dawson, M., Zeffiro, T. A., & Mottron, L. (2013). The level and nature of autistic intelligence III: inspection time. Journal of Abnormal Psychology, 122(1), 295-301. doi: 10.1037/a0029984

10.1037/a0029984 Google Scholar

Barnes, K. A., Howard Jr., J. H., Howard, D. V., Gilotty, L., Kenworthy, L., Gaillard, W. D.,& Vaidya, C. J. (2008). Intact implicit learning of spatial context and temporal sequences in childhood autism spectrum disorder. Neuropsychology, 22(5), 563-570. doi: 10.1037/0894-4105.22.5.563

10.1037/0894-4105.22.5.563 Google Scholar

Baron-Cohen, S. (1989). Perceptual role taking and protodeclarative pointing in autism. British Journal of Developmental Psychology, 7, 113-127.

10.1111/j.2044-835X.1989.tb00793.x Google Scholar

Baum, K. T., Shear, P. K., Howe, S. R., & Bishop, S. L. (2014). A comparison of WISC-IV and SB-5 intelligence scores in adolescents with autism spectrum disorder. Autism, 19(6), 736-745. doi: 10.1177/1362361314554920

10.1177/1362361314554920 Google Scholar

Bellebaum, C., Brodmann, K., & Thoma, P. (2014). Active and observational reward learning in adults with autism spectrum disorder: relationship with empathy in an atypical sample. Cognitive Neuropsychiatry, 19(3), 205-225. doi: 10.1080/13546805.2013.823860

10.1080/13546805.2013.823860 Google Scholar

Bertone, A., Mottron, L., Jelenic, P., & Faubert, J. (2005). Enhanced and diminished visuo-spatial information processing in autism depends on stimulus complexity. Brain, 128, 2430-2441. doi: 10.1093/brain/awh561

10.1093/brain/awh561 Google Scholar

Beversdorf, D. Q., Narayanan, A., Hillier, A., & Hughes, J. D. (2007). Network model of decreased context utilization in autism spectrum disorder. Journal of Autism and Developmental Disorders, 37(6), 1040-1048. doi: 10.1007/s10803-006-0242-7

10.1007/s10803-006-0242-7 Google Scholar

Biederman, I. (1987). Recognition-by-components: a theory of human image understanding. Psychological Review, 94(2), 115-147. doi: 10.1037/0033-295X.94.2.115

10.1037/0033-295X.94.2.115 Google Scholar

Blair, C. (2006). How similar are fluid cognition and general intelligence? A developmental neuroscience perspective on fluid cognition as an aspect of human cognitive ability. The Behavioral and Brain Sciences, 29(2), 109-125. doi: 10.1017/S0140525X06009034

10.1017/S0140525X06009034 Google Scholar

Bölte, S., Dziobek, I., & Poustka, F. (2009). Brief report: the level and nature of autistic intelligence revisited. Journal of Autism and Developmental Disorders, 39(4), 678-682. doi: 10.1007/s10803-008-0667-2

10.1007/s10803-008-0667-2 Google Scholar

Bölte, S., & Poustka, F. (2002). The relation between general cognitive level and adaptive behavior domains in individuals with autism with and without co-morbid mental retardation. Child Psychiatry and Human Development, 33(2), 165-172. doi: 10.1023/A:1020734325815

10.1023/A:1020734325815 Google Scholar

Bott, L., Brock, J., Brockdorff, N., Boucher, J., & Lamberts, K. (2006). Perceptual similarity in autism. Quarterly Journal of Experimental Psychology, 59(7), 1237-1254. doi: 10.1080/02724980543000196

10.1080/02724980543000196 Google Scholar

Bowler, D. (2012). Autism spectrum disorders (ASD). Autism, 16(3), 223-225. doi: 10.1177/1362361312445960

10.1177/1362361312445960 Google Scholar

Bowler, D. M., Matthews, N. J., & Gardiner, J. M. (1997). Asperger's syndrome and memory: similarity to autism but not amnesia. Neuropsychologia, 35(1), 65-70. doi: S0028-3932(96)00054-1 [pii]

10.1016/S0028-3932(96)00054-1 Google Scholar

Broadbent, J., & Stokes, M. A. (2013). Removal of negative feedback enhances WCST performance for individuals with ASD. Research in Autism Spectrum Disorders, 7, 785-792. doi: 10.1016/j.rasd.2013.03.002

10.1016/j.rasd.2013.03.002 Google Scholar

Brown, J., Aczel, B., Jiménez, L., Kaufman, S. B., & Grant, K. P. (2010). Intact implicit learning in autism spectrum conditions. Quarterly Journal of Experimental Psychology, 63(9), 1789-1812. doi: 10.1080/17470210903536910

10.1080/17470210903536910 Google Scholar

Cardoso-Martins, C., & da Silva, J. R. (2010). Cognitive and language correlates of hyperlexia: evidence from children with autism spectrum disorders. Reading and Writing, 23(2), 129-145. doi: 10.1007/s11145-008-9154-6

10.1007/s11145-008-9154-6 Google Scholar

Caron, M. J., Mottron, L., Berthiaume, C., & Dawson, M. (2006). Cognitive mechanisms, specificity and neural underpinnings of visuospatial peaks in autism. Brain, 129(7), 1789-1802. doi: 10.1093/brain/awl072

10.1093/brain/awl072 Google Scholar

Carpenter, P. A., Just, M. A., & Shell, P. (1990). What one intelligence test measures: a theoretical account of the processing in the Raven Progressive Matrices Test. Psychological Review, 97(3), 404-431. doi: 10.1037/0033-295X.97.3.404

10.1037//0033-295X.97.3.404 Google Scholar

Cattell, R. B. (1987). Intelligence: its structure, growth and action. Amsterdam, North-Holland: Elsevier.

Google Scholar

Centers for disease control and prevention. (2008). Prevalence of autism spectrum disorders : autism and developmental disabilities monitoring network, 14 sites, United States, 2008. Repéré à http://www.cdc.gov/mmwr/preview/mmwrhtml/ss6103a1.htm

Google Scholar

Centers for disease control and prevention. (2010). Prevalence of autism spectrum disorder among children aged 8 years : autism and developemental disabilities monitoring network, 11 sites, United States, 2010. Repéré à http://www.cdc.gov/mmwr/preview/mmwrhtml/ss6302a1.htm

Google Scholar

Charman, T., Jones, C. R., Pickles, A., Simonoff, E., Baird, G., & Happé, F. (2011). Defining the cognitive phenotype of autism. Brain Research, 1380, 10-21. doi: 10.1016/j.brainres.2010.10.075

10.1016/j.brainres.2010.10.075 Google Scholar

Charman, T., Pickles, A., Simonoff, E., Chandler, S., Loucas, T., & Baird, G. (2011). IQ in children with autism spectrum disorders: data from the special needs and autism project (SNAP). Psychological Medicine, 41, 619-627. doi: 10.1017/S0033291710000991

10.1017/S0033291710000991 Google Scholar

Church, B. A., Krauss, M. S., Lopata, C., Toomey, J. A., Thomeer, M. L., Coutinho, M. V., … Mercado, E. (2010). Atypical categorization in children with high-functioning autism spectrum disorder. Psychonomic Bulletin & Review, 17(6), 862-868. doi: 10.3758/PBR.17.6.862

10.3758/PBR.17.6.862 Google Scholar

Dawson, M., Mottron, L., & Gernsbacher, M. A. (2008). Learning in Autism. Dans J. H. Byrne & H. Roediger (dir.), Learning and memory: A comprehensive reference: cognitive psychology of memory (vol. 2, p.759-72). New York: Elsevier.

10.1016/B978-012370509-9.00152-2 Google Scholar

Dawson, M., Soulières, I., Gernsbacher, M. A., & Mottron, L. (2007). The level and nature of autistic intelligence. Psychological Science, 18(8), 657-662. doi: 10.1111/j.1467-9280.2007.01954.x

10.1111/j.1467-9280.2007.01954.x Google Scholar

Deary, I. J., Bell, P. J., Bell, A. J., Campbell, M. L., & Fazal, N. D. (2004). Sensory discrimination and intelligence: testing Spearman's other hypothesis. American Journal of Psychology, 117(1), 1-18. doi: 10.2307/1423593

10.2307/1423593 Google Scholar

Demetras, M. J., Post, K. N., & Snow, C. E. (1986). Feedback to first language learners: the role of repetitions and clarification questions. Journal of Child Language, 13(2), 275-292. doi: 10.1017/S0305000900008059

10.1017/S0305000900008059 Google Scholar

Demurie, E., Roeyers, H., Baeyens, D., & Sonuga-Barke, E. (2011). Common alterations in sensitivity to type but not amount of reward in ADHD and autism spectrum disorders. Journal of Child Psychology and Psychiatry 52(11), 1164-1173. doi: 10.1111/j.1469-7610.2010.02374.x

10.1111/j.1469-7610.2010.02374.x Google Scholar

Dichter, G. S., Felder, J. N., Green, S. R., Rittenberg, A. M., Sasson, N. J., & Bodfish, J. W. (2012). Reward circuitry function in autism spectrum disorders. Social Cognitive and Affective Neuroscience, 7(2), 160-172. doi: 10.1093/scan/nsq095

10.1093/scan/nsq095 Google Scholar

Dovgopoly, A., & Mercado, E. (2013). A connectionist model of category learning by individuals with high-functioning autism spectrum disorder. Cognitive, Affective & Behavioral Neuroscience, 13, 371-389. doi: 10.3758/s13415-012-0148-0

10.3758/s13415-012-0148-0 Google Scholar

Edwards, D. J., Perlman, A., & Reed, P. (2012). Unsupervised categorization in a sample of children with autism spectrum disorders. Research in Developmental Disabilities, 33(4), 1264-1269. doi: 10.1016/j.ridd.2012.02.021

10.1016/j.ridd.2012.02.021 Google Scholar

Eigsti, I.-M., & Mayo, J. (2011). Implicit learning in ASD. Dans D. Fein (dir.), The Neuropsychology of Autism (p. 267-279). USA: OUP

Google Scholar

Evans, J. S. B. T. (2002). Logic and human reasoning: an assessment of the deduction paradigm. Psychological Bulletin, 128(6), 978-996. doi: 10.1037/0033-2909.128.6.978

10.1037//0033-2909.128.6.978 Google Scholar

Flanagan, H. E., Smith, I. M., Vaillancourt, T., Duku, E., Szatmari, P., Bryson, S., … Georgiades, S. (2015). Stability and change in the cognitive and adaptative behaviour scores of preschoolers with autism spectrum disorder. Journal of Autism and Developmental Disorders, 45(9), 2691-2703.

10.1007/s10803-015-2433-6 Google Scholar

Fombonne, E. (2003). Epidemiological surveys of autism and other pervasive developmental disorders: an update. Journal of Autism and Developmental Disorders, 33(4), 365-382.

10.1023/A:1025054610557 Google Scholar

Fountain, C., Winter, A. S., & Bearman, P. S. (2012). Six developmental trajectories characterize children with autism. Pediatrics, 129(5), e1112-e1120. doi: 10.1542/peds.2011-1601

10.1542/peds.2011-1601 Google Scholar

Freeman, B. J., Ritvo, E. R., Yokota, A., Childs, J., & Pollard, J. (1988). WISC-R and Vineland Adaptive Behavior Scale scores in autistic children. Journal of the American Academy of Child and Adolescent Psychiatry, 27(4), 428-429.

10.1097/00004583-198807000-00008 Google Scholar

Frith, C. (2003). What do imaging studies tell us about the neural basis of autism? Novartis Foundation Symposium, 251, 149-176.

10.1002/0470869380.ch10 Google Scholar

Froehlich, A. L., Anderson, J. S., Bigler, E. D., Miller, J. S., Lange, N. T., Dubray, M. B., … Lainhart, J. E. (2012). Intact prototype formation but impaired generalization in autism. Research in Autism Spectrum Disorders, 6(2), 921-930. doi: 10.1016/j.rasd.2011.12.006

10.1016/j.rasd.2011.12.006 Google Scholar

Gaigg, S. B., Gardiner, J. M., & Bowler, D. M. (2008). Free recall in autism spectrum disorder: the role of relational and item-specific encoding. Neuropsychologia, 46(4), 983-992. doi: 10.1016/j.neuropsychologia.2007.11.011

10.1016/j.neuropsychologia.2007.11.011 Google Scholar

Gastgeb, H. Z., Dundas, E. M., Minshew, N. J., & Strauss, M. S. (2012). Category formation in autism: can individuals with autism form categories and prototypes of dot patterns? Journal of Autism and Developmental Disorders, 42(8), 1694-1704. doi: 10.1007/s10803-011-1411-x

10.1007/s10803-011-1411-x Google Scholar

Gastgeb, H. Z., Strauss, M. S., & Minshew, N. J. (2006). Do individuals with autism process categories differently? The effect of typicality and development. Child Development, 77(6), 1717-1729. doi: 10.1111/j.1467-8624.2006.00969.x

10.1111/j.1467-8624.2006.00969.x Google Scholar

Geschwind, D. H., & Levitt, P. (2007). Autism spectrum disorders: developmental disconnection syndromes. Current Opinion in Neurobiology, 17(1), 103-111. doi: 10.1016/j.conb.2007.01.009

10.1016/j.conb.2007.01.009 Google Scholar

Goldstein, S., Naglieri, J. A., & Ozonoff, S. (2009). Assessment of autism spectrum disorder. New York: Guilford.

Google Scholar

Green, A. E., Kenworthy, L., Mosner, M. G., Gallagher, N. M., Fearon, E. W., Balhana, C. D., & Yerys, B. E. (2014). Abstract analogical reasoning in high-functioning children with autism spectrum disorders. Autism Research 7(6), 677-686. doi: 10.1002/aur.1411

10.1002/aur.1411 Google Scholar

Grigorenko, E. L., Klin, A., & Volkmar, F. (2003). Annotation: hyperlexia: disability or superability? Journal of Child Psychology and Psychiatry, 44(8), 1079-1091. doi: 10.1111/1469-7610.00193

10.1111/1469-7610.00193 Google Scholar

Grondhuis, S. N., & Mulick, J. A. (2013). Comparison of the Leiter International Performance Scale-Revised and the Stanford-Binet Intelligence Scales, in children with autism spectrum disorders. American Journal on Intellectual and Developmental Disabilities, 118(1), 44-54. doi: 10.1352/1944-7558-118.1.44.

10.1352/1944-7558-118.1.44 Google Scholar

Hayashi, M., Kato, M., Igarashi, K., & Kashima, H. (2008). Superior fluid intelligence in children with Asperger's disorder. Brain and Cognition, 66(3), 306-310. doi: 10.1016/j.bandc.2007.09.008

10.1016/j.bandc.2007.09.008 Google Scholar

Hill, E. L. (2004). Executive dysfunction in autism. TRENDS in Cognitive Sciences, 8(1), 26-32. doi: 10.1016/j.tics.2003.11.003

10.1016/j.tics.2003.11.003 Google Scholar

Howlin, P., Goode, S., Hutton, J., & Rutter, M. (2004). Adult outcome for children with autism. Journal of Child Psychology and Psychiatry, 45(2), 212-229. doi: 10.1111/j.1469-7610.2004.00215

10.1111/j.1469-7610.2004.00215.x Google Scholar

Jolliffe, T., & Baron-Cohen, S. (1997). Are people with autism and Asperger Syndrome faster than normal on the Embedded Figures Test? Journal of Child Psychology and Psychiatry, 38, 527-534. doi: 10.1111/j.1469-7610.1997.tb01539.x

10.1111/j.1469-7610.1997.tb01539.x Google Scholar

Just, M. A., Cherkassky, V. L., Keller, T. A., Kana, R. K., & Minshew, N. J. (2007). Functional and anatomical cortical underconnectivity in autism: evidence from an FMRI study of an executive function task and corpus callosum morphometry. Cerebral Cortex, 17(4), 951-961. doi: 10.1093/cercor/bhl006

10.1093/cercor/bhl006 Google Scholar

Just, M. A., Cherkassky, V. L., Keller, T. A., & Minshew, N. J. (2004). Cortical activation and synchronization during sentence comprehension in high-functioning autism: evidence of underconnectivity. Brain, 127(8), 1811-1821. doi: 10.1093/brain/awh199

10.1093/brain/awh199 Google Scholar

Kamio, Y., & Toichi, M. (2000). Dual access to semantics in autism: is pictorial access superior to verbal access? Journal of Child Psychology and Psychiatry, 41(7), 859-867.

10.1111/1469-7610.00673 Google Scholar

Kanne, S. M., Gerber, A. J., Quirmbach, L. M., Sparrow, S. S., Cicchetti, D. V., & Saulnier, C. A. (2011). The role of adaptative behavior in autism spectrum disorders: implications for functional outcome. Journal of Autism and Developmental Disorders, 41(8), 1007-1018. doi: 10.1007/s10803-010-1126-4

10.1007/s10803-010-1126-4 Google Scholar

Kanner, L. (1943). Autistic disturbances of affective contact. Nervous Child, 2, 217-250.

Google Scholar

Keehn, B., Brenner, L., Palmer, E., Lincoln, A. J., & Müller, R.-A. (2008). Functional brain organization for visual search in ASD. Journal of the International Neuropsychological Society, 14(6), 990-1003. doi: 10.1017/S1355617708081356

10.1017/S1355617708081356 Google Scholar

Kéïta, L., Mottron, L., Dawson, M., & Bertone, A. (2011). Atypical lateral connectivity: a neural basis for altered visuospatial processing in autism. Biological Psychiatry, 70(9), 806-811. doi: 10.1016/j.biopsych.2011.07.031

10.1016/j.biopsych.2011.07.031 Google Scholar

Kjelgaard, M. M., & Tager-Flusberg, H. (2001). An investigation of language impairment in autism: implications for genetic subgroups. Language and Cognitive Processes, 16(2-3), 287-308. doi: 10.1080/01690960042000058

10.1080/01690960042000058 Google Scholar

Klin, A., Jones, W., Schultz, R., Volkmar, F., & Cohen, D. (2002). Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in Individuals with autism. Archives of General Psychiatry, 59(9), 809-816. doi: 10.1001/archpsyc.59.9.809

10.1001/archpsyc.59.9.809 Google Scholar

Klinger, L. G., Klinger, M. R., & Pohlig, R. l. (2007). Implicit Learning Impairments in Autism Spectrum Disorders: Implications for Treatment (New Developments in Autism: The Future is Today (p. 76-103). London, England Jessica Kingsley Publishers.

Google Scholar

Kohls, G., Chevallier, C., Troiani, V., & Schultz, R. T. (2012). Social 'wanting' dysfunction in autism: neurobiological underpinnings and treatment implications. Journal of Neurodevelopmental Disorders, 4(10), 1-20. doi: 10.1186/1866-1955-4-10

10.1186/1866-1955-4-10 Google Scholar

Kohls, G., Peltzer, J., Schulte-Rüther, M., Kamp-Becker, I., Remschmidt, H., Herpertz-Dahlmann, B., & Konrad, K. (2011). Atypical brain responses to reward cues in autism as revealed by event-related potentials. Journal of Autism and Developmental Disorders, 41(11), 1523-1533. doi: 10.1007/s10803-011-1177-1

10.1007/s10803-011-1177-1 Google Scholar

La Malfa, G., Lassi, S., Bertelli, M., Salvini, R., & Placidi, G. F. (2004). Autism and intellectual disability: a study of prevalence on a sample of the Italian population. Journal of Intellectual Disability Research, 48(Pt 3), 262-267. doi: 10.1111/j.1365-2788.2003.00567.x

10.1111/j.1365-2788.2003.00567.x Google Scholar

Larson, M. J., South, M., Krauskopf, E., Clawson, A., & Crowley, M. J. (2011). Feedback and reward processing in high-functioning autism. Psychiatry Research, 187(1-2), 198-203. doi: 10.1016/j.psychres.2010.11.006

10.1016/j.psychres.2010.11.006 Google Scholar

Leekam, S. R., López, B., & Moore, C. (2000). Attention and joint attention in preschool children with autism. Developmental Psychology, 36(2), 261-273.

10.1037//0012-1649.36.2.261 Google Scholar

Leiter, R. G. (1936). The Leiter International Performance Scale. Chicago, IL: Stoelting.

Google Scholar

López, B., & Leekam, S. R. (2003). Do children with autism fail to process information in context? Journal of Child Psychology and Psychiatry, 44(2), 285-300. doi: 10.1111/1469-7610.00121

10.1111/1469-7610.00121 Google Scholar

Lord, C., Rutter, M., & Couteur, A. L. (1994). Autism Diagnostic Interview-Revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal Autism Developmental Disorders, 24(5), 659-685.

10.1007/BF02172145 Google Scholar

Lord, C., & Schopler, E. (1989). The role of age at assessment, developmental level, and test in the stability of intelligence scores in young autistic children. Journal of Autism and Developmental Disorders, 19(4), 483-499. doi: 10.1007/BF02212853

10.1007/BF02212853 Google Scholar

Mackintosh, N. J. (1998). IQ and human intelligence. Oxford: Oxford University Press.

Google Scholar

Manjaly, Z. M., Bruning, N., Neufang, S., Stephan, K. E., Brieber, S., Marshall, J. C., … Fink, G. R. (2007). Neurophysiological correlates of relatively enhanced local visual search in autistic adolescents. NeuroImage, 35(1), 283-291. doi: 10.1016/j.neuroimage.2006.11.036

10.1016/j.neuroimage.2006.11.036 Google Scholar

Marr, D. (1982). Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. New York, NY: Henry Holt and Co., Inc.

Google Scholar

Matson, J. L., & Shoemaker, M. (2009). Intellectual disability and its relationship to autism spectrum disorders. Research in Developmental Disabilities, 30(6), 1107-1014. doi: 10.1016/j.ridd.2009.06.003

10.1016/j.ridd.2009.06.003 Google Scholar

Mayes, S. D., & Calhoun, S. (2008). WISC-IV and WIAT-II profiles in children with high-functioning autism. Journal of Autism and Developmental Disorders, 38(3), 428-439. doi: 10.1007/s10803-007-0410-4

10.1007/s10803-007-0410-4 Google Scholar

McKenzie, R., Evans, J. S. B. T., & Handley, S. J. (2010). Conditional reasoning in autism: activation and integration of knowledge and belief. Developmental Psychology, 46(2), 391-403. doi: 10.1037/a0017412

10.1037/a0017412 Google Scholar

Minshew, N. J., & Goldstein, G. (1993). Is autism an amnesic disorder? Evidence from the California Verbal Learning Test. Neuropsychology, 7(2), 209-216. doi: 10.1037/0894-4105.7.2.209

10.1037//0894-4105.7.2.209 Google Scholar

Minshew, N. J., Goldstein, G., Muenz, L. R., & Payton, J. B. (1992). Neuropsychological functioning in nonmentally retarded autistic Individuals. Journal of Clinical and Experimental Neuropsychology, 14(5), 749-761. doi: 10.1080/01688639208402860

10.1080/01688639208402860 Google Scholar

Minshew, N. J., Meyer, J., & Goldstein, G. (2002). Abstract reasoning in autism: a disassociation between concept formation and concept identification. Neuropsychology, 16(3), 327-334. doi: 10.1037//0894-4105.16.3.327

10.1037//0894-4105.16.3.327 Google Scholar

Minshew, N. J., & Williams, D. L. (2007). The new neurobiology of autism: cortex, connectivity, and neuronal organization. Archives of Neurology, 64(7), 945-950. doi: 10.1001/archneur.64.7.945

10.1001/archneur.64.7.945 Google Scholar

Molesworth, C. J., Bowler, D. M., & Hampton, J. A. (2005). The prototype effect in recognition memory: intact in autism? Journal of Child Psychology and Psychiatry, 46(6), 661-672. doi: 10.1111/j.1469-7610.2004.00383.x

10.1111/j.1469-7610.2004.00383.x Google Scholar

Molesworth, C. J., Bowler, D. M., & Hampton, J. A. (2008). When prototypes are not best: judgments made by children with autism. Journal of Autism and Developmental Disorders, 38, 1721-1730. doi: 10.1007/s10803-008-0557-7

10.1007/s10803-008-0557-7 Google Scholar

Morgan, B., Maybery, M., & Durkin, K. (2003). Weak central coherence, poor joint attention, and low verbal ability: independent deficits in early autism. Developmental Psychology, 39(4), 646-656. doi: 10.1037/0012-1649.39.4.646

10.1037/0012-1649.39.4.646 Google Scholar

Morsanyi, K., & Handley, S. J. (2012). Reasoning on the basis of fantasy content: two studies with high-functioning autistic adolescents. Journal of autism and developmental disorders, 42(11), 2297-2311. doi: 10.1007/s10803-012-1477-0

10.1007/s10803-012-1477-0 Google Scholar

Morsanyi, K., Handley, S. J., & Evans, J. S. (2010). Decontextualised minds: adolescents with autism are less susceptible to the conjunction fallacy than typically developing adolescents. Journal of Autism and Developmental Disorders, 40(11), 1378-1388. doi: 10.1007/s10803-010-0993-z

10.1007/s10803-010-0993-z Google Scholar

Morsanyi, K., & Holyoak, K. J. (2010). Analogical reasoning ability in autistic and typically developing children. Developmental Science, 13(4), 578-587. doi: 10.1111/j.1467-7687.2009.00915.x

10.1111/j.1467-7687.2009.00915.x Google Scholar

Mottron, Dawson, & Soulieres. (2009). Enhanced perception in savant syndrome: patterns, structure and creativity. Philos Trans R Soc Lond B Biol Sci, 364(1522), 1385-1391. doi: 364/1522/1385 [pii] 10.1098/rstb.2008.0333

10.1098/rstb.2008.0333 Google Scholar

Mottron, L., Belleville, S., Stip, E., & Morasse, K. (1998). Atypical memory performance in an autistic savant. Memory (Hove, England), 6(6), 593-607. doi: 10.1080/741943372

10.1080/741943372 Google Scholar

Mottron, L., Bouvet, L., Bonnel, A., Samson, F., Burack, J. A., Dawson, M., & Heaton, P. (2013). Veridical mapping in the development of exceptional autistic abilities. Neuroscience and Biobehavioral Reviews, 37(2), 209-228. doi: 10.1016/j.neubiorev.2012.11.016

10.1016/j.neubiorev.2012.11.016 Google Scholar

Mottron, L., & Burack, J. A. (2001). Enhanced Perceptual Functioning in the Development of Autism. Dans J. A. Burack, T. Charman, N. Yirmiya, & P. R. Zelazo (dir.), The development of autism: perspectives from therory and research (p.131-148). Mahwah, NJ: Erlbaum.

Google Scholar

Mottron, L., & Dawson, M. (2013). The autistic spectrum. Handbook of clinical neurology, 111, 263-271.

10.1016/B978-0-444-52891-9.00029-4 Google Scholar

Mottron, L., Dawson, M., & Soulières, I. (2009). Enhanced perception in savant syndrome: patterns, structure and creativity. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 364(1522), 1385-1391. doi: 10.1098/rstb.2008.0333

10.1098/rstb.2008.0333 Google Scholar

Mottron, L., Dawson, M., Soulières, I., Hubert, B., & Burack, J. (2006). Enhanced perceptual functioning in autism: an update, and eight principles of autistic perception. Journal of Autism and Developmental Disorders, 36(1), 27-43. doi: 10.1007/s10803-005-0040-7

10.1007/s10803-005-0040-7 Google Scholar

Nader, A.-M., Courchesne, V., Dawson, M., & Soulières, I. (2016). Does WISC-IV underestimate the intelligence of autistic children? Journal of Autism and Developmental Disorders, 46(5), 1582-1589. doi: 10.1007/s10803-014-2270-z

10.1007/s10803-014-2270-z Google Scholar

Nader, A.-M., Jelenic, P., & Soulières, I. (2015). Discrepancy between WISC-III and WISC-IV cognitive profile in autism spectrum: what does it reveal about autistic cognition? PloS One, 10(12), e0144645. doi: 10.1371/journal.pone.0144645

10.1371/journal.pone.0144645 Google Scholar

Nader, A. M., Jelenic, P., & Soulières, I. (2012). Cognitive profile in autistic versus Asperger children: A comparison of WISC-III and WISC-IV profiles. Communication présentée International Meeting for Autism Research, Toronto, Canada.

Google Scholar

Neisser, U. (1998). Introduction: rising test scores and what they mean. Dans U. Neisser (dir.), The rising curve: long-term gains in IQ and related measures (p. 3-22). Washington, DC: American Psychological Association.

10.1037/10270-016 Google Scholar

O'Riordan, M. A., Plaisted, K. C., Driver, J., & Baron-Cohen, S. (2001). Superior visual search in autism. Journal of Experimental Psychology: Human Perception and Performance, 27(3), 719-730. doi: 10.1037/0096-1523.27.3.719

10.1037//0096-1523.27.3.719 Google Scholar

Oliveras-Rentas, R. E., Kenworthy, L., Roberson, R. B., Martin, A., & Wallace, G. L. (2012). WISC-IV profile in high-functioning autism spectrum disorders: impaired processing speed is associated with increased autism communication symptoms and decreased adaptive communication abilities. Journal of Autism and Developmental Disorders, 42(5), 655-664. doi: 10.1007/s10803-011-1289-7

10.1007/s10803-011-1289-7 Google Scholar

Ozonoff, S., & Miller, J. N. (1995). Teaching theory of mind: a new approach to social skills training for individuals with autism. Journal of Autism and Developmental Disorders, 25(4), 415-433. doi: 10.1007/BF02179376

10.1007/BF02179376 Google Scholar

Pennington, B. F., & Ozonoff, S. (1996). Executive functions and developmental psychopathology. Journal of Child Psychology and Psychiatry, 37(1), 51-87. doi: 10.1111/j.1469-7610.1996.tb01380.x

10.1111/j.1469-7610.1996.tb01380.x Google Scholar

Perry, A., Flanagan, H. E., Geier, J. D., & Freeman, N. L. (2009). Brief report: the Vineland Adaptative Behavior Scales in young children with autism spectrum disorders at different cognitive levels. Journal of Autism and Developmental Disorders, 39(7), 1066-1078. doi: 10.1007/s10803-009-0704-9

10.1007/s10803-009-0704-9 Google Scholar

Pierce, K., Conant, D., Hazin, R., Stoner, R., & Desmond, J. (2011). Preference for geometric patterns early in life as a risk factor for autism. Archives of General Psychiatry, 68(1), 101-109. doi: 10.1001/archgenpsychiatry.2010.113

10.1001/archgenpsychiatry.2010.113 Google Scholar

Plaisted, K., O'Riordan, M., & Baron-Cohen, S. (1998). Enhanced discrimination of novel, highly similar stimuli by adults with autism during a perceptual learning task. Journal of Child Psychology and Psychiatry, 39(5), 765-775. doi: 10.1111/1469-7610.00375

10.1111/1469-7610.00375 Google Scholar

Rapin, I., Dunn, M. A., Allen, D. A., Stevens, M. C., & Fein, D. (2009). Subtypes of language disorders in school-age children with autism. Developmental Neuropsychology, 34(2), 66-84. doi: 10.1080/87565640802564648

10.1080/87565640802564648 Google Scholar

Richland, L. E., & Burchinal, M. R. (2013). Early executive function predicts reasoning development. Psychological Science, 24(1), 87-92. doi: 10.1177/0956797612450883

10.1177/0956797612450883 Google Scholar

Rivard, M., Terroux, A., Parent-Boursier, C., & Mercier, C. (2014). Determinants of stress in parents of children with autism spectrum disorders. Journal of Autism and Developmental Disorders, 44(7), 1609-1620. doi: 10.1007/s10803-013-2028-z

10.1007/s10803-013-2028-z Google Scholar

Roid, G. H.,, & Miller, L. J. (1997). Leiter International Performance Scale-Revised (Leiter-R) manual. Wood Dale, IL: Stoelting.

10.1037/t05120-000 Google Scholar

Roid, G. H. (2003). Stanford Binet Intelligence Scales (5^e éd.). Itsaca, IL: Riverside Publishing.

Google Scholar

Ropar, D., & Peebles, D. (2007). Sorting preference in children with autism: the dominance of concrete features. Journal of Autism and Developmental Disorders, 37(2), 270-280. doi: 10.1007/s10803-006-0166-2

10.1007/s10803-006-0166-2 Google Scholar

Ropar, D., Mitchell, P., & Sheppard, E. (2008). The Influence of Conceptual Knowledge on Perceptual Processing in Autism. In E. McGregor, M. Nunez, K. Cebula, & J. C. Gomez (Éds), Autism: an integrate view from neurocognitive, clinical and intervention research. Oxford: Blackwell Publishing.

Google Scholar

Roser, M. E., Aslin, R. N., McKenzie, R., Zahra, D., & Fiser, J. (2015). Enhanced visual statistical learning in adults with autism. Neuropsychology, 29(2), 163-172. doi: http://dx.doi.org/10.1037/neu0000137

10.1037/neu0000137 Google Scholar

Roser, M. E., Fiser, J., Aslin, R. N., & Gazzaniga, M. S. (2011). Right hemisphere dominance in visual statistical learning. Journal of Cognitive Neuroscience, 23(5), 1088-1099. doi: 10.1162/jocn.2010.21508

10.1162/jocn.2010.21508 Google Scholar

Rutherford, M. D., & McIntosh, D. N. (2007). Rules versus prototype matching: strategies of perception of emotional facial expressions in the autism spectrum. Journal of Autism and Developmental Disorders, 37, 187-196. doi: 10.1007/s10803-006-0151-9

10.1007/s10803-006-0151-9 Google Scholar

Sahyoun, C. P., Soulières, I., Belliveau, J. W., Mottron, L., & Mody, M. (2009). Cognitive differences in pictorial reasoning between high-functioning autism and Asperger's syndrome. Journal of Autism and Developmental Disorders, 39(7), 1014-1023. doi: 10.1007/s10803-009-0712-9

10.1007/s10803-009-0712-9 Google Scholar

Samson, F., Mottron, L., Soulières, I., & Zeffiro, T. A. (2012). Enhanced visual functioning in autism: an ALE meta-analysis. Human Brain Mapping, 33(7), 1553-1581. doi: 10.1002/hbm.21307

10.1002/hbm.21307 Google Scholar

Schipul, S. E., Williams, D. L., Keller, T. A., Minshew, N. J., & Just, M. A. (2011). Distinctive neural processes during learning in autism. Cerebral Cortex, 937-950. doi: 10.1093/cercor/bhr162

10.1093/cercor/bhr162 Google Scholar

Schmitz, N., Rubia, K., Van Amelsvoort, T., Daly, E., Smith, A., & Murphy, D. G. M. (2008). Neural correlates of reward in autism. British Journal of Psychiatry, 192(1), 19-24. doi: 10.1192/bjp.bp.107.036921

10.1192/bjp.bp.107.036921 Google Scholar

Scott-Van Zeeland, A. A., Dapretto, M., Ghahremani, D. G., Poldrack, R. A., & Bookheimer, S. Y. (2010). Reward processing in autism. Autism research 3(2), 53-67. doi: 10.1002/aur.122

10.1002/aur.122 Google Scholar

Shah, A., & Frith, U. (1983). An islet of ability in autistic children: a research note. Journal of Child Psychology and Psychiatry, 24(4), 613-620. doi: 10.1111/1469-7610.ep11422546.

10.1111/j.1469-7610.1983.tb00137.x Google Scholar

Shah, A., & Holmes, N. (1985). The use of the Leiter International Performance Scale with autistic children. Journal of Autism and Developmental Disorders, 15(2), 195-203. doi: 10.1007/BF01531605

10.1007/BF01531605 Google Scholar

Solomon, M., Buaminger, N., & Rogers, S. J. (2011). Abstract reasoning and friendship in high functioning preadolescents with autism spectrum disorders. Journal of Autism and Developmental Disorders, 41(1), 32-43. doi: 10.1007/s10803-010-1017-8

10.1007/s10803-010-1017-8 Google Scholar

Solomon, M., Ozonoff, S. J., Ursu, S., Ravizza, S., Cummings, N., Ly, S., & Carter, C. S. (2009). The neural substrates of cognitive control deficits in autism Spectrum disorders. Neuropsychologia, 47(12), 2515-2526. doi: 10.1016/j.neuropsychologia.2009.04.019

10.1016/j.neuropsychologia.2009.04.019 Google Scholar

Solomon, M., Smith, A. C., Frank, M. J., Ly, S., & Carter, C. S. (2011). Probabilistic reinforcement learning in adults with autism spectrum disorders. Autism Research 4(2), 109-120. doi: 10.1002/aur.177

10.1002/aur.177 Google Scholar

Soulières, I., Dawson, M., Gernsbacher, M. A., & Mottron, L. (2011). The level and nature of autistic intelligence II: what about Asperger syndrome? PloS one, 6(9), e25372. doi: 10.1371/journal.pone.0025372

10.1371/journal.pone.0025372 Google Scholar

Soulières, I., Dawson, M., Samson, F., Barbeau, E. B., Sahyoun, C. P., Strangman, G. E., … Mottron, L. (2009). Enhanced visual processing contributes to matrix reasoning in autism. Human Brain Mapping, 30(12), 4082-4107. doi: 10.1002/hbm.20831

10.1002/hbm.20831 Google Scholar

Soulières, I., Mottron, L., Giguère, G., & Larochelle, S. (2011). Category induction in autism: slower, perhaps different, but certainly possible. Quarterly Journal of Experimental Psychology, 64(2), 311-327. doi: 10.1080/17470218.2010.492994

10.1080/17470218.2010.492994 Google Scholar

Soulières, I., Mottron, L., Saumier, D., & Larochelle, S. (2007). Atypical categorical perception in autism: autonomy of discrimination? Journal of Autism and Developmental Disorders, 37, 481-490. doi: 10.1007/s10803-006-0172-4

10.1007/s10803-006-0172-4 Google Scholar

Soulières, I., Zeffiro, T. A., Girard, M. L., & Mottron, L. (2011). Enhanced mental image mapping in autism. Neuropsychologia, 49(5), 848-857. doi: 10.1016/j.neuropsychologia.2011.01.027

10.1016/j.neuropsychologia.2011.01.027 Google Scholar

Spearman, C. (1936). Les aptitudes de l'Homme: leur nature et leur mesure (traduit par F. Brachet). Paris, France: Conservatoire National des Arts et Métiers.

Google Scholar

Stevenson, J. L., & Gernsbacher, M. A. (2013). Abstract spatial reasoning as an autistic strength. PloS one, 8(3), e59329. doi: 10.1371/journal.pone.0059329

10.1371/journal.pone.0059329 Google Scholar

Swettenham, J. (1996). Can children with autism be taught to understand false belief using computers? Journal of Child Psychology and Psychiatry, 37(2), 157-165. doi: 10.1111/j.1469-7610.1996.tb01387.x

10.1111/j.1469-7610.1996.tb01387.x Google Scholar

Szatmari, P., Bryson, S. E., Boyle, M. H., Streiner, D. L., & Duku, E. (2003). Predictors of outcome among high functioning children with autism and Asperger syndrome. Journal of Child Psychology and Psychiatry, 44(4), 520-528. doi: 10.1111/1469-7610.00141

10.1111/1469-7610.00141 Google Scholar

Szatmari, P., Georgiades, S., Duku, E., Bennett, T. A., Bryson, S., Fombonne, E., … Thompson, A. (2015). Developmental trajectories of symptom severity and adaptative functioning in an inception cohort of preschool children with autism spectrum disorder. JAMA Psychiatry, 72(3), 2014-2463. doi: 10.1001/jamapsychiatry.2014.2463

10.1001/jamapsychiatry.2014.2463 Google Scholar

Tager-Flusberg, H. (1991). Semantic processing in the free recall of autistic children: further evidence for a cognitive deficit. British Journal of Developmental Psychology, 9(3), 417-430. doi: 10.1111/j.2044-835X.1991.tb00886.x

10.1111/j.2044-835X.1991.tb00886.x Google Scholar

Turk-Browne, N. B., Jungé, J., & Scholl, B. J. (2005). The automaticity of visual statistical learning. Journal of Experimental Psychology: General, 134(4), 552-564. doi: 10.1037/0096-3445.134.4.552

10.1037/0096-3445.134.4.552 Google Scholar

Turner, L. M., Stone, W. L., Pozdol, S. L., & Coonrod, E. E. (2006). Follow-up of children with autism spectrum disorders from age 2 to age 9. Autism, 10(3). doi: 10.1177/1362361306063296

10.1177/1362361306063296 Google Scholar

VanMeter, L., Fein, D., Morris, R., Waterhouse, L., & Allen, D. (1997). Delay versus deviance in autistic social behavior. Journal of Autism and Developmental Disorders, 27(5), 557-569. doi: 10.1023/A:1025830110640

10.1023/A:1025830110640 Google Scholar

Venter, A., Lord, C., & Schopler, E. (1992). A follow-up-study of high-functioning autistic children. Journal of Child Psychology and Psychiatry, 33(3), 489-507. doi: 10.1111/j.1469-7610.1992.tb00887.x

10.1111/j.1469-7610.1992.tb00887.x Google Scholar

Vladusich, T., Olu-Lafe, O., Kim, D. S., Tager-Flusberg, H., & Grossberg, S. (2010). Prototypical category learning in high-functioning autism. Autism Research, 3(5), 226-236. doi: 10.1002/aur.148

10.1002/aur.148 Google Scholar

Wechsler, D. (2003). Wechsler Intelligence Scale for Children-WISC-IV. San Antonio, TX: Psychological Corporation.

10.1037/t15174-000 Google Scholar

Wechsler, D. (2008). Wechsler Adult Intelligence Scale–Fourth Edition (WAIS–IV). San Antonio, TX: Psychological Corporation.

10.1037/t15169-000 Google Scholar

Wechsler, D. (2012). Wechsler Preschool and Primary Scale of Intelligence - Fourth Edition (WPPSI-IV). San Antonio, TX : Psychological Corporation.

Google Scholar

Le profil cognitif au service des apprentissages : optimiser le potentiel des enfants sur le spectre de l’autismeCognitive profile as a support to learning processes: Optimizing potential for children on the autism spectrum

Résumé

Abstract

Bibliographie

Résumés

Résumé

Abstract

Parties annexes

Bibliographie

Outils de citation

Citer cet article

Exporter la notice de cet article