Lecture 7 - Dyscalculia Flashcards

1
Q

definitions of dyscalculia

A
  • Ladislav Kosc (1970, cited in 1974):
    ○ “Developmental dyscalculia is a structural disorder of mathematical abilities which has its origin in a genetic or congenital disorder of those parts of the brain that are the direct anatomico-physiological substrate of the maturation of the mathematical abilities adequate to age, without a simultaneous disorder of general mental functions.”
    • DSM-V (American Psychiatric Association, 2013)
      ○ “A neurodevelopmental disorder of biological origin manifested in learning difficulty and problems in acquiring academic skills markedly below age level and manifested in the early school years, lasting for at least 6 months ; not attributed to intellectual disabilities, developmental disorders, or neurological or motor disorders”.
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2
Q

specific characteristics of dyscalculia

A

○ Low performance only in the domain of mathematics that is ‘out of line’ with age-/IQ-related expectations
○ Usually 1.5-2SD below the mean

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3
Q

prevalence

A

○ ~5–6%
○ comparable to dyslexia
○ prevalence in boys and girls roughly the same

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4
Q

stability

A

○ Early onset, persists into adulthood
○ Often restricted progress and no catch-up with peers despite extra help
○ “Doesn’t grow out”

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5
Q

heritability

A

○ Dyscalculia runs in families suggesting that there is a genetic component
○ Familial recurrence (Shalev et al., 2001, see also Landerl & Moll, 2010): siblings have a 5-10 times greater risk compared to controls to also have dyscalculia
○ Twin studies (e.g., Alacron et al., 1997): if one twin has dyscalculia, then 58% of monozygotic co-twins and 39% of dizygotic co-twins also have dyscalculia
○ Searches for any particular genes that lead to dyscalculia have not lead to any real results – there is not one gene for dyscalculia (see e.g., Carvalho & Haase, 2019)
§ many genes that each have a small effect contribute to individual differences in maths

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6
Q

behavioural symptoms

A
  • primary symptoms
    ○ persistent difficulties in maths (domain-specific skills)
    ○ & (often) certain domain-general skills

secondary symptoms
○ low motivation, increasing frustration
○ avoidance, maths anxiety
○ lack of self-confidence, low opinion of capabilities
○ psychosomatic symptoms

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7
Q

domain specific skills

A
  • Mathematical competence not a simple, compact, or unitary concept
    ○ it is necessary to acquire many different skills and concepts
    ○ often content is hierarchical in nature (more complex skills build on previously acquired skills)
    ○ development of skills, concepts and strategies is not always discrete (children may develop several in parallel)
    • e.g., Haberstroh & Schulte-Körne (2019), Landerl, Vogel, & Grabner (2021)
      ○ Difficulties in, e.g.,
      § Counting
      § ordinality & cardinality understanding
      § rapid naming of small quantities (subitizing)
      § comparing two quantities or symbolic numbers
      § estimation (e.g., number of objects, time; plausibility of results)
      § determining the position of a number on the number line
      § understanding the place-value system, transcoding
      § arithmetic (e.g., immature strategies; relations between operations)
      § fact retrieval (e.g., small addition/subtraction facts, multiplication facts)
      ○ Difficulties in basic number processing and arithmetic (and further, more complex mathematical tasks)
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8
Q

domain general skills

A
  • Landerl, Vogel, & Grabner, 2021
    • Difficulties in various domain-general skills that are critical for numerical development have been associated with dyscalculia, for example difficulties with
      ○ verbal & visual-spatial working memory: temporarily holding information available for processing
      ○ visual-spatial skills: mentally manipulating and understanding the spatial relations between and within objects
      ○ executive functions (updating, shifting, and inhibition): monitoring and updating memory contents, switching between tasks, and suppressing distracting information and unwanted responses
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9
Q

functional differences: magnitude processing

A
  • What one might expect to find:
    ○ According to the core deficit hypothesis, individuals with dyscalculia have a deficit in number sense or problems accessing numerical magnitude
    § Does this results from an underactivation in the IPS in dyscalculia?
    • Children with dyscalculia showed significantly less activity in the IPS compared to controls during symbolic number magnitude comparison and symbolic ordering (Mussolin et al., 2010; Soltész et al., 2007; Kucian et al., 2006)
    • Differences in non-symbolic number comparison are less consistent: less activity in the IPS during non-symbolic comparison (Price et al., 2007) vs. no difference (Kovas et al., 2009; Kucian et al., 2011)
    • Functional specialization of the parietal cortex for the processing of number magnitude
      might be delayed/disturbed in dyscalculia (two recent meta analyses by Tablante et al., 2023 & Martinez-Lincoln et al., 2023)
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10
Q

functional differences: arithmetic

A
  • What one might expect to find:
    ○ Children with dyscalculia have problems in understanding and executing procedural strategies (cf. magnitude manipulation) and they show persistent deficits in the retrieval of arithmetic facts (e.g., Geary, 1993, 2011)
    § Hyperactivity in frontal regions and hypoactivity in parietal/ temporo-parietal regions?
    § No or reduced shifts in dyscalculia?
    • Findings in children with dyscalculia are mixed/inconclusive:
      ○ both increases and decreases in activity in the fronto-parietal network have been reported in comparison to typically developing children
    • Common observation regarding difficulty-related modulation of the IPS (De Smedt et al., 2011; Ashkenazi et al., 2012)
      ○ typically developing children: increased brain activity in the IPS during the solution of more complex arithmetic problems than during easier problems
      ○ children with dyscalculia: recruited the IPS to the same extent for both types of problems
      § children with dyscalculia may continue to rely on (more immature) procedural strategies for both easy and complex problems
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11
Q
  • persistent neural aberration:
A

even if performance deficits are successfully remediated, children with dyscalculia will continue to show atypical responses in the same brain areas that they did before tutoring

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12
Q
  • neural compensation:
A

children with dyscalculia, after tutoring, will recruit additional and distinct (compensatory) brain systems compared with TD children

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13
Q

neural normalization:

A

atypical brain responses before tutoring becomes indistinguishable from typically developing peers after tutoring

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14
Q

gray and white matter volume

A

cf. McCaskey et al., 2020
- Reductions in gray and white matter volume have been reported across the fronto-parietal network:
○ gray: IPS, frontal regions, occipital regions, temporal regions
○ white: parts of the superior longitudinal fasciculus and inferior longitudinal fasciculus
- ! very few studies !
○ However, no studies to date have reported increased gray or white matter volumes in individuals with dyscalculia compared to peers without dyscalculia

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15
Q

white matter connectivity

A

cf. De Smedt et al., 2019
- Few studies have investigated brain connections and how these relate to dyscalculia in children, results are mixed:
- Hypo-connectivity or hyper-connectivity

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16
Q

limitations of a dyscalculic brain

A
  • Functional and structural differences largely occur within the fronto-parietal network that is critical for numerical and arithmetic processing in adults and typically developing children
    • But:
      ○ Findings are mixed and have to be interpreted with caution
      ○ Comparably few studies on the neural correlates of dyscalculia
      ○ Often large age ranges
      ○ Small sample sizes
      ○ Inconsistent cut-off criteria/inclusion criteria
      ○ Cause or effect?
17
Q

implications for EN

A
  • Add another level of explanation:
    ○ Corroborate (or not) established theory and open questions
    ○ The integration of different levels of analysis and data has the potential to generate a better explanatory model of mechanisms underlying a particular educational phenomenon
    • Advance understanding about causal mechanisms:
      ○ Describe/distinguish underlying causes of dyscalculia (potentially different subtypes)
    • Early identification of children at risk:
      ○ Neuroscientific measures may complement behavioural or environmental risk factors by being available long before a child starts school
    • Informing of design and evaluation of educational interventions
      ○ Potential to predict response to instruction and help identify tailored support to meet children’s needs