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1
The epidemiology of cognitive development
In: https://hal.archives-ouvertes.fr/hal-02927365 ; 2020 (2020)
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2
White matter network connectivity deficits in developmental dyslexia
In: ISSN: 1065-9471 ; EISSN: 1097-0193 ; Human Brain Mapping ; https://hal.archives-ouvertes.fr/hal-02158487 ; Human Brain Mapping, Wiley, 2019, 40 (2), pp.505-516. ⟨10.1002/hbm.24390⟩ (2019)
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3
The Effect of Older Siblings on Language Development as a Function of Age Difference and Sex
In: ISSN: 0956-7976 ; Psychological Science ; https://hal.archives-ouvertes.fr/hal-02324780 ; Psychological Science, Association for Psychological Science, 2019, 30 (9), pp.1333-1343. ⟨10.1177/0956797619861436⟩ (2019)
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4
Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia
In: ISSN: 2158-3188 ; EISSN: 2158-3188 ; Translational Psychiatry ; https://hal.archives-ouvertes.fr/hal-02158502 ; Translational Psychiatry, Nature Pub. Group, 2019, 9, pp.77. ⟨10.1038/s41398-019-0402-0⟩ (2019)
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5
Sex differences in psychomotor development during the preschool period: A longitudinal study of the effects of environmental factors and of emotional, behavioral, and social functioning
In: ISSN: 0022-0965 ; EISSN: 1096-0457 ; Journal of Experimental Child Psychology ; https://hal.archives-ouvertes.fr/hal-02158494 ; Journal of Experimental Child Psychology, Elsevier, 2019, 178, pp.369-384. ⟨10.1016/j.jecp.2018.09.002⟩ (2019)
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6
Does pre-testing promote better retention than post-testing?
In: ISSN: 2056-7936 ; EISSN: 2056-7936 ; npj Science of Learning ; https://hal.archives-ouvertes.fr/hal-02324042 ; npj Science of Learning, Nature Publishing Group, 2019, 4 (1), ⟨10.1038/s41539-019-0053-1⟩ (2019)
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7
Comorbidity and cognitive overlap between developmental dyslexia and congenital amusia
In: ISSN: 0264-3294 ; EISSN: 1464-0627 ; Cognitive Neuropsychology ; https://hal.archives-ouvertes.fr/hal-02158506 ; Cognitive Neuropsychology, Taylor & Francis (Routledge), 2019, 36 (1-2), pp.1-17. ⟨10.1080/02643294.2019.1578205⟩ (2019)
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8
Alterations in white matter pathways underlying phonological and morphological processing in Chinese developmental dyslexia
In: ISSN: 1878-9293 ; EISSN: 1878-9307 ; Developmental Cognitive Neuroscience ; https://hal.archives-ouvertes.fr/hal-02158470 ; Developmental Cognitive Neuroscience, Elsevier, 2018, 31, pp.11-19. ⟨10.1016/j.dcn.2018.04.002⟩ (2018)
Abstract: International audience ; Chinese is a logographic language that is different from alphabetic languages in visual and semantic complexity. Thus far, it is still unclear whether Chinese children with dyslexia show similar disruption of white matter pathways as in alphabetic languages. The present study focused on the alteration of white matter pathways in Chinese children with dyslexia. Using diffusion tensor imaging tractography, the bilateral arcuate fasciculus (AF-anterior, AF-posterior and AF-direct segments), inferior fronto-occipital fasciculus (IFOF) and inferior longitudinal fasciculus (ILF) were delineated in each individual's native space. Compared with age-matched controls, Chinese children with dyslexia showed reduced fractional anisotropy in the left AF-direct and the left ILF. Further regression analyses revealed a functional dissociation between the left AF-direct and the left ILF. The AF-direct tract integrity was associated with phonological processing skill, an ability important for reading in all writing systems, while the ILF integrity was associated with morphological processing skill, an ability more strongly recruited for Chinese reading. In conclusion, the double disruption locus in Chinese children with dyslexia, and the functional dissociation between dorsal and ventral pathways reflect both universal and specific properties of reading in Chinese.
Keyword: [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences
URL: https://doi.org/10.1016/j.dcn.2018.04.002
https://hal.archives-ouvertes.fr/hal-02158470/file/DCN18.pdf
https://hal.archives-ouvertes.fr/hal-02158470/document
https://hal.archives-ouvertes.fr/hal-02158470
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9
Are high-IQ students more at risk of school failure?
In: ISSN: 0160-2896 ; Intelligence ; https://hal.archives-ouvertes.fr/hal-02158490 ; Intelligence, Elsevier, 2018, 71, pp.32-40. ⟨10.1016/j.intell.2018.09.003⟩ (2018)
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10
Vocabulary growth rate from preschool to school-age years is reflected in the connectivity of the arcuate fasciculus in 14-year-old children
In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal.archives-ouvertes.fr/hal-02158479 ; Developmental Science, Wiley, 2018, 21 (5), pp.e12647. ⟨10.1111/desc.12647⟩ (2018)
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11
Neuroéducation et neuropsychanalyse : du neuroenchantement aux neurofoutaises ; : http://www.scilogs.fr/ramus-meninges/neurofoutaises/
In: ISSN: 0769-4113 ; Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo) ; https://hal.archives-ouvertes.fr/hal-02158499 ; Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo), Association pour la Recherche sur la Cognition, 2018 (2018)
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12
Neuroanatomy of developmental dyslexia: Pitfalls and promise
In: ISSN: 1873-7528 ; Neuroscience & Biobehavioral Reviews ; https://hal.archives-ouvertes.fr/hal-02324914 ; Neuroscience & Biobehavioral Reviews, Oxford: Elsevier Ltd., 2018, 84, pp.434-452. ⟨10.1016/j.neubiorev.2017.08.001⟩ (2018)
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13
Predictors of the IQ-achievement gap in France: A longitudinal analysis
In: ISSN: 0160-2896 ; Intelligence ; https://hal.archives-ouvertes.fr/hal-02158474 ; Intelligence, Elsevier, 2018, 69, pp.104-116. ⟨10.1016/j.intell.2018.05.008⟩ (2018)
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14
Phonological skills, visual attention span, and visual stress in developmental dyslexia.
In: ISSN: 0012-1649 ; Developmental Psychology ; https://hal.archives-ouvertes.fr/hal-01400569 ; Developmental Psychology, American Psychological Association, 2016, 52 (10), pp.1503 - 1516. ⟨10.1037/dev0000184⟩ (2016)
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15
Multi-parameter machine learning approach to the neuroanatomical basis of developmental dyslexia
In: ISSN: 1065-9471 ; EISSN: 1097-0193 ; Human Brain Mapping ; https://hal.archives-ouvertes.fr/hal-01400559 ; Human Brain Mapping, Wiley, 2016 (2016)
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16
Predicting changes in language skills between 2 and 3 years in the EDEN mother–child cohort
In: ISSN: 2167-8359 ; PeerJ ; https://hal.archives-ouvertes.fr/hal-01071489 ; PeerJ, PeerJ, 2014, pp.335. ⟨10.7717/peerj.335⟩ (2014)
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17
Impaired auditory sampling in dyslexia: further evidence from combined fMRI and EEG
In: ISSN: 1662-5161 ; Frontiers in Human Neuroscience ; https://hal.sorbonne-universite.fr/hal-01557287 ; Frontiers in Human Neuroscience, Frontiers, 2013, 7, pp.454. ⟨10.3389/fnhum.2013.00454⟩ (2013)
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18
Predictors of developmental dyslexia in European orthographies with varying complexity.
In: ISSN: 0021-9630 ; EISSN: 1469-7610 ; Journal of Child Psychology and Psychiatry ; https://hal.archives-ouvertes.fr/hal-00965034 ; Journal of Child Psychology and Psychiatry, Wiley, 2013, 54 (6), pp.686-94. ⟨10.1111/jcpp.12029⟩ (2013)
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19
Genetic analysis of dyslexia candidate genes in the European cross-linguistic NeuroDys cohort.
In: ISSN: 1018-4813 ; EISSN: 1476-5438 ; European Journal of Human Genetics ; https://hal.archives-ouvertes.fr/hal-00964958 ; European Journal of Human Genetics, Nature Publishing Group, 2013, epub ahead of print. ⟨10.1038/ejhg.2013.199⟩ (2013)
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20
Cognitive mechanisms underlying reading and spelling development in five European orthographies
In: ISSN: 0959-4752 ; Learning and Instruction ; https://hal.archives-ouvertes.fr/hal-00965264 ; Learning and Instruction, Elsevier, 2013, 29, pp.65-77. ⟨10.1016/j.learninstruc.2013.09.003⟩ (2013)
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