Developmental dyscalculia is related to visuo-spatial memory and inhibition impairment

Cortex

Volumn 49, Issue 10, 2013, Pages 2674-2688

  Szucs, Denes ^a   Devine, Amy ^a   Soltesz, Fruzsina ^a   Nobes, Alison ^a   Gabriel, Florence ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Developmental disorders; Developmental learning disability; Intraparietal sulcus (IPS); Mathematical difficulty; Number sense

Indexed keywords

ARTICLE; ATTENTION; ATTENTION DEFICIT DISORDER; CHILD; DEVELOPMENTAL DISORDER; DYSCALCULIA; DYSLEXIA; EXECUTIVE FUNCTION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INHIBITION (PSYCHOLOGY); INTELLIGENCE QUOTIENT; INTRAPARIETAL SULCUS; MAJOR CLINICAL STUDY; MEMORY DISORDER; NEUROIMAGING; PRIMARY SCHOOL; PSYCHOLOGIC TEST; READING; SCHOOL CHILD; SHORT TERM MEMORY; SPATIAL MEMORY; STROOP TEST; TASK PERFORMANCE; VISUAL MEMORY; VISUOSPATIAL MEMORY; WORKING MEMORY;

DEVELOPMENTAL DISORDERS; DEVELOPMENTAL LEARNING DISABILITY; INTRAPARIETAL SULCUS (IPS); MATHEMATICAL DIFFICULTY; NUMBER SENSE;

ATTENTION; CHILD; DATA INTERPRETATION, STATISTICAL; DEVELOPMENTAL DISABILITIES; FEMALE; HUMANS; IMAGINATION; INHIBITION (PSYCHOLOGY); INTELLIGENCE TESTS; LEARNING DISORDERS; MALE; MATHEMATICS; MEMORY; MEMORY, SHORT-TERM; NEUROPSYCHOLOGICAL TESTS; PSYCHOMOTOR PERFORMANCE; REACTION TIME; REGRESSION ANALYSIS; ROTATION; SIZE PERCEPTION; SPACE PERCEPTION; STROOP TEST; TRAIL MAKING TEST; VISUAL PERCEPTION;

EID: 84889654601     PISSN: 00109452     EISSN: 19738102     Source Type: Journal    
DOI: 10.1016/j.cortex.2013.06.007     Document Type: Article

References (100)

1. Alloway T.P. Automated Working Memory Assessment (AWMA) 2007, Pearson Assessment, London: UK.
2. Andersson U. Skill development in different components of arithmetic and basic cognitive functions: Findings from a three-year longitudinal study of children with different types of learning difficulties. Journal of Educational Psychology 2010, 102(1):115-134.
3. Andersson U., Ostergren R. Number magnitude processing and basic cognitive functions in children with mathematical learning disabilities. Learning and Individual Differences 2013, 22(6):701-714. ISSN 1041-6080, http://dx.doi.org/10.1016/j.lindif.2012.05.004.
4. Ashcraft M.H. The development of mental arithmetic: A chronometric approach. Developmental Review 1982, 2:213-236.
5. Ashcraft M.H. Cognitive psychology and simple arithmetic: A review and summary of new directions. Mathematical Cognition 1995, 1:3-34.
6. Ashkenazi S., Rubinsten O., Henik A. Attention, automaticity, and developmental dyscalculia. Neuropsychology 2009, 23(4):535-540.
7. Ashkenazi S., Rosenberg-Lee M., Tenison C., Menon V. Weak task-related modulation and stimulus representations during arithmetic problem solving in children with developmental dyscalculia. Developmental Cognitive Neuroscience 2012, 2(1):152-166.
8. Baddeley A.D. Working Memory 1986, Oxford University Press, Oxford, UK.
9. Barrouillet P., Fayol M., Lathuliere E. Selecting between competitors in multiplication tasks: An explanation of the errors produced by adolescents with learning disabilities. International Journal of Behavioral Development 1997, 21:253-275.
10. Blair C., Razza R.P. Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten. Child Development 2007, 78:647-663.
11. Bryce D., Szucs D., Soltész F., Whitebread D. The development of inhibitory control: a single-trial Lateralized Readiness Potential study. Neuroimage 2011, 57:671-685.
12. Bull R., Scerif G. Executive functioning as a predictor of children's mathematics ability: Inhibition, switching, and working memory. Developmental Neuropsychology 2011, 19:273-293.
13. Bull R., Johnston R.S., Roy J.A. Exploring the roles of the visual-spatial sketch pad and central executive in children's arithmetical skills: Views from cognition and developmental neuropsychology. Developmental Neuropsychology 1999, 15:421-442.
14. Bull R., Espy K.A., Wiebe S.A. Short-term memory, working memory, and executive functioning in preschoolers: Longitudinal predictors of mathematical achievement at age 7 years. Developmental Neuropsychology 2008, 33:205-228.
15. Carretti B., Cornoldi C., De Beni R., Palladino P. What happens to information to be suppressed in working-memory tasks? Short and long term effects. The Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology 2004, 57(6):1059-1084.
16. Chihara L., Hesterberg T. Mathematical Statistics with Resampling and R 2011, John Wiley & Sons, New York.
17. Cieslik E.C., Zilles K., Grefkes C., Eickhoff S.B. Dynamic interactions in the fronto-parietal network during a manual stimulus-response compatibility task. NeuroImage 2011, 58(3):860-869.
18. Cornoldi C., Marzocchi G.M., Belotti M., Caroli M.G., Meo T., Braga C. Working memory interference control deficit in children referred by teachers for ADHD symptoms. Child Neuropsychology: A Journal on Normal and Abnormal Development in Childhood and Adolescence 2001, 7(4):230-240.
19. Coull J.T., Frith C.D. Differential activation of right superior parietal cortex and intraparietal sulcus by spatial and nonspatial attention. NeuroImage 1998, 8(2):176-187.
20. Culham J.C., Kanwisher N.G. Neuroimaging of cognitive functions in human parietal cortex. Current Opinion in Neurobiology 2001, 11:157-163.
21. Davis N., Cannistraci C.J., Rogers B.P., Gatenby J.C., Fuchs L.S., Anderson A., et al. Aberrant functional activation in school age children at-risk for mathematical disability: A functional imaging study of simple arithmetic skill. Neuropsychologia 2009, 47:2470-2479.
22. Davranche K., Nazarian B., Vidal F., Coull J. Orienting attention in time activates left intraparietal sulcus for both perceptual and motor task goals. Journal of Cognitive Neuroscience 2011, 23(11):3318-3330.
23. De Beni R., Palladino P., Pazzaglia F., Cornoldi C. Increases in intrusion errors and working memory deficit of poor comprehenders. The Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology 1998, 51(2):305-332.
24. Dehaene S. The Number Sense 1997, Oxford University Press.
25. De Smedt B., Gilmore C. Defective number module or impaired access? Numerical magnitude processing in first graders with mathematical difficulties. Journal of Experimental Child Psychology 2011, 108:278-292.
26. De Visscher A., Noël M.P. A case study of arithmetic facts dyscalculia caused by a hypersensitivity-to-interference in memory. Cortex 2013, 49(1):50-70. http://dx.doi.org/10.1016/j.cortex.2012.01.003. Epub 2012 Jan 12.
27. Devine A., Soltesz F., Nobes A., Goswami U., Szucs D. Gender differences in developmental dyscalculia depend on diagnostic criteria. Learning and Instruction 2013, 27:31-39.
28. Dumontheil I., Klingberg T. Brain activity during a visuospatial working memory task predicts arithmetical performance 2 years later. Cerebral Cortex 2011, 22(5):1078-1085.
29. Espy K.A., McDiarmid M.M., Cwik M.F., Stalets M.M., Hamby A., Senn T.E. The contribution of executive functions to emergent mathematical skills in preschool children. Developmental Neuropsychology 2004, 26:465-486.
30. Geary D.C. Mathematical disabilities: Cognitive, neuropsychological, and genetic components. Psychological Bulletin 1993, 114:345-362.
31. Geary D.C. Mathematics and learning disabilities. Journal of Learning Disabilities 2004, 37:4-15.
32. Geary D.C. Cognitive predictors of achievement growth in mathematics: A five year longitudinal study. Developmental Psychology 2011, 47:1539-1552.
33. Geary D.C., Brown S.C., Samaranayake V.A. Cognitive addition: A short longitudinal study of strategy choice and speed-of-processing differences in normal and mathematically disabled children. Developmental Psychology 1991, 27:787-797.
34. Geary D.C., Hoard M.K., Nugent L., Bailey D.H. Mathematical cognition deficits in children with learning disabilities and persistent low achievement: A five year prospective study. Journal of Educational Psychology 2012, 104:206-223.
35. Gebuis T., Reynvoet B. The interplay between nonsymbolic number and its continuous visual properties. Journal of Experimental Psychology: General 2012, 141(4):642-648. http://dx.doi.org/10.1037/a0026218. Epub 2011 Nov 14.
36. Gebuis T., Reynvoet B. Continuous visual properties explain neural responses to non-symbolic number. Psychophysiology 2012, 49(11):1481-1491. http://dx.doi.org/10.1111/j.1469-8986.2012.01461.x. Epub 2012 Oct 9.
37. Hannula M.M., Lepola J., Lehtinen E. Spontaneous focusing on numerosity as a domain-specific predictor of arithmetical skills. Journal of Experimental Child Psychology 2010, 107:394-406.
38. Hasher L., Zacks R.T. Working memory, comprehension and aging: A review and new view. The Psychology of Learning and Motivation 1988, vol. 22:193-225. Academic Press, New York, NY.
39. Heine A., Wißmann J., Tamm S., De Smedt B., Schneider M., Stern E., et al. An electrophysiological investigation of non-symbolic magnitude processing: Numerical distance effects in children with and without mathematical learning disabilities. Cortex 2012 Nov 28, pii: S0010-9452(12)00328-0. http://dx.doi.org/10.1016/j.cortex.2012.11.009. [Epub ahead of print].
40. Hitch G.J., McAuley E. Working memory in children with specific arithmetical learning difficulties. British Journal of Psychology 1991, 82:375-386.
41. Holloway I.D., Ansari D. Domain-specific and domain-general changes in children's development of number comparison. Developmental Science 2008, 11(5):644-649.
42. Isaacs E.B., Edmonds C.J., Lucas A., Gadian D.G. Calculation difficulties in children of very low birthweight-A neural correlate. Brain 2001, 124:1701-1707.
43. Jarvis H.L., Gathercole S.E. Verbal and nonverbal working memory and achievements on national curriculum tests at 7 and 14 years of age. Educational and Child Psychology 2003, 20:123-140.
44. Keeler M.L., Swanson H.L. Does strategy knowledge influence working memory in children with mathematical disabilities?. Journal of Learning Disabilities 2001, 34:418-434.
45. Kovas Y., Giampietro V., Viding E., Ng V., Brammer M., Barker G., et al. Brain correlates of non-symbolic numerosity estimation in low and high mathematical ability children. PLoS ONE 2009, 4(2):e4587. 10.1371/journal.pone.0004587.
46. Kucian K., Loenneker T., Dietrich T., Dosch M., Martin E., von Aster M. Impaired neural networks for approximate calculation in dyscalculic children: A functional MRI study. Behavioral and Brain Functions 2006, 2:31. 10.1186/1744-9081-2-31.
47. Kucian K., Loenneker T., Martin E., von Aster M. Non-symbolic numerical distance effect in children with and without developmental dyscalculia: A parametric FMRI study. Developmental Neuropsychology 2011, 36(6):D741-D762.
48. Landerl K., Kolle C. Typical and atypical development of basic numerical skills in elementary school. Journal of Experimental Child Psychology 2009, 103(4):546-565.
49. Landerl K., Bevan A., Butterworth B. Developmental dyscalculia and basic numerical capacities: A study of 8-9-year-old students. Cognition 2004, 93(2):99-125.
50. Linden D.E.J., Bittner R.A., Muckli L., Waltz J.A., Kriegeskorte N., Goebel R., et al. Cortical capacity constraints for visual working memory: Dissociation of fMRI load effects in a fronto-parietal network. NeuroImage 2003, 20:1518-1530.
51. Ludbrook J., Dudley H. Why permutation tests are superior to t and F tests in biomedical research. The American Statistician 1998, 52:127-132.
52. Marzocchi G.M., Lucangeli D., De Meo T., Fini F., Cornoldi C. The disturbing effect of irrelevant information on arithmetic problem solving in inattentive children. Developmental Neuropsychology 2002, 21(1):73-92.
53. May C.P., Hasher L., Kane M.J. The role of interference in memory span. Memory and Cognition 1999, 27(5):759-767.
54. Mazzocco M.M., Feigenson L., Halberda J. Impaired acuity of the approximate number system underlies mathematical learning disability (dyscalculia). Child Development 2011, 82(4):1224-1237.
55. McKenzie B., Bull R., Gray C. The effects of phonological and visual-spatial interference on children's arithmetical performance. Educational and Child Psychology 2003, 20(3):93-108.
56. McLean J.F., Hitch G.J. Working memory impairments in children with specific arithmetic learning difficulties. Journal of Experimental Child Psychology 1999, 74:240-260.
57. Mecklinger A., Weber K., Gunter T.C., Engle R.W. Dissociable brain mechanisms for inhibitory control: Effects of interference content and working memory capacity. Brain Research: Cognitive Brain Research 2003, 18(1):26-38.
58. Miller G.A., Chapman J.P. Misunderstanding analysis of covariance. Journal of Abnormal Psychology 2001, 110:40-48.
59. Miyake A., Friedman N.P., Emerson M.J., Witzki A.H., Howerter A., Wager T.D. The unity and diversity of executive functions and their contributions to complex "frontal lobe" tasks: A latent variable analysis. Cognitive Psychology 2000, 41:49-100.
60. Moyer R.S., Landauer T.K. Time required for judgements of numerical inequality. Nature 1967, 215(109):1519-1520.
61. Mussolin C., Mejias S., Noel M.P. Symbolic and nonsymbolic number comparison in children with and without dyscalculia. Cognition 2010, 115:10-25.
62. Mussolin C., De Volder A., Grandin C., Schlögel X., Nassogne M.C., Noel M.P. Neural correlates of symbolic number comparison in developmental dyscalculia. Journal of Cognitive Neuroscience 2010, 22(5):860-874.
63. Palladino P. The role of interference control in working memory: A study with children at risk of ADHD. The Quarterly Journal of Experimental Psychology 2006, 59(12):2047-2055.
64. Palladino P., Ferrari M. Interference control in working memory: Comparing groups of children with atypical development. Child Neuropsychology: A Journal on Normal and Abnormal Development in Childhood and Adolescence 2013, 19(1):37-54.
65. Pasolunghi M.C., Cornoldi C., De Liberto S. Working memory and intrusions of irrelevant information in a group of specific poor problem solvers. Memory and Cognition 1999, 27(5):779-790.
66. Passolunghi M.C., Lanfranchi S. Domain-specific and domain-general precursors of mathematical achievement: A longitudinal study from kindergarten to first grade. British Journal of Educational Psychology 2012, 82:42-63.
67. Passolunghi M.C., Mammarella I.C. Spatial and visual working memory ability in children with difficulties in arithmetic word problem solving. European Journal of Cognitive Psychology 2010, 22(6):944-963.
68. Passolunghi M.C., Siegel L.S. Short-term memory, working memory, and inhibitory control in children with difficulties in arithmetic problem solving. Journal of Experimental Child Psychology 2001, 80(1):44-57.
69. Passolunghi M.C., Siegel L.S. Working memory and access to numerical information in children with disability in mathematics. Journal of Experimental Child Psychology 2004, 88(4):348-367.
70. Piazza M., Facoetti A., Trussardi A.N., Berteletti I., Conte S., Lucangeli D., et al. Developmental trajectory of number acuity reveals a severe impairment in developmental dyscalculia. Cognition 2010, 116(1):33-41.
71. Pimperton H., Nation K. Suppressing irrelevant information from working memory: Evidence for domain-specific deficits in poor comprehenders. Journal of Memory and Language 2010, 62:380-391.
72. Pinel P., Dehaene S., Riviere D., LeBihan D. Modulation of parietal activation by semantic distance in a number comparison task. NeuroImage 2001, 14(5):1013-1026.
73. Poldrack R.A. Can cognitive processes be inferred from neuroimaging data?. Trends in Cognitive Sciences 2006, 10:59-63.
74. Porter A.C., Raudenbush S.W. Analysis of covariance: Its model and use in psychological research. Journal of Counseling Psychology 1987, 4:383-392.
75. Price G.R., Holloway I., Räsänen P., Vesterinen M., Ansari D. Impaired parietal magnitude processing in developmental dyscalculia. Current Biology 2007, 17(24):R1042-R1043.
76. Raven J. Raven's - Educational: Coloured Progressive Matrices (CPM) 2008, Pearson Assessment, London.
77. Rotzer S., Kucian K., Martin E., von Aster M., Klaver P., Loenneker T. Optimized voxel-based morphometry in children with developmental dyscalculia. NeuroImage 2008, 39(1):417-422.
78. Rotzer S., Loenneker T., Kucian K., Martin E., Klaver P., von Aster M. Dysfunctional neural network of spatial working memory contributes to developmental dyscalculia. Neuropsychologia 2009, 47(13):2859-2865.
79. Rourke B.P. Arithmetic disabilities, specific and otherwise: A neuropsychological perspective. Journal of Learning Disabilities 1993, 26:214-226.
80. Rourke B.P., Conway J.A. Disabilities of arithmetic and mathematical reasoning: Perspectives from neurology and neuropsychology. Journal of Learning Disabilities 1997, 30:34-46.
81. Rousselle L., Noël M.P. Basic numerical skills in children with mathematics learning disabilities: A comparison of symbolic vs. non-symbolic number magnitude. Cognition 2007, 102:361-395.
82. Rykhlevskaia E., Uddin L., Kondos L., Menon V. Neuroanatomical correlates of developmental dyscalculia: Combined evidence from morphometry and tractography. Frontiers in Human Neuroscience 2009, 3:51.
83. Santangelo V., Macaluso E. The contribution of working memory to divided attention. Human Brain Mapping 2013, 34(1):158-175. http://dx.doi.org/10.1002/hbm.21430. Epub 2011 Oct 22.
84. Sattler J. Assessment of Children 1992, Jerome Sattler, San Diego. 3rd ed.
85. Schuchardt K., Maehler C., Hasselhorn M. Working memory deficits in children with specific learning disorders. Journal of Learning Disabilities 2008, 41(6):514-523.
86. Shah P., Miyake A. The separability of working memory resources for spatial thinking and language processing: An individual differences approach. Journal of Experimental Psychology: General 1996, 125:4-27.
87. Shalev R.S., Gross-Tsur V. Developmental dyscalculia. Pediatric Neurology 2001, 24:337-342.
88. Soltész F., Szücs D., Dékány J., Márkus A., Csépe V. A combined event-related potential and neuropsychological investigation of developmental dyscalculia. Neuroscience Letters 2007, 417:181-186.
89. Swanson H.L. Cognitive processes that underlie mathematical precociousness in young children. Journal of Experimental Child Psychology 2006, 93:239-264.
90. Swanson H.L. Working memory, attention, and mathematical problem solving: A longitudinal study of elementary school children. Journal of Educational Psychology 2011, 103:821-837.
91. Szucs D., Nobes A., Devine A., Gabriel F., Gebuis T. Visual stimulus parameters seriously compromise the measurement of approximate number system acuity and comparative effects between adults and children. Frontiers in Psychology 2013, 4:444.
92. Szucs D., Soltész F., Bryce D., Whitebread D. Real-time tracking of motor response activation and response competition in a Stroop task in young children: a lateralized readiness potential study. Journal of Cognitive Neuroscience 2009, 11:2195-2206.
93. Todd J.J., Marois R. Capacity limit of visual short-term memory in human posterior parietal cortex. Nature 2004, 428:751-754.
94. van der Sluis S., van der Leij A., de Jong P.F. Working memory in Dutch children with reading-and arithmetic-related LD. Journal of Learning Disabilities 2005, 38(3):207-221.
95. Vandenberghe R., Molenberghs P., Gillebert C. Spatial attention deficits in humans: The critical role of superior compared to inferior parietal lesions. Neuropsychologia 2012, 50(6):1092-1103.
96. Vincent D., Crumpler M. Hodder Group Reading Tests 1-3 (II) 2007, Hodder; Education, London: UK.
97. Wechsler D. Wechsler Intelligence Scale for Children - Third Edition (WISC-III) 1991, Psychological Corporation, San Antonio, TX.
98. Wechsler D. Wechsler Individual Achievement Test - Second UK Edition (WIAT-II UK) 2005, Harcourt Assessment, London: UK.
99. Williams J. Mathematics Assessment for Learning and Teaching 2005, Hodder Education, London: UK.
100. Yang J., Han H., Chui D., Shen Y., Wu J. Prominent activation of the intraparietal and somatosensory areas during angle discrimination by intra-active touch. Human Brain Mapping 2013, 33(12):2957-2970. http://dx.doi.org/10.1002/hbm.21419. Epub 2011 Oct 22.