Abstract

Dyscalculia is a specific learning disorder that impairs the acquisition of arithmetic and the sense of number despite adequate schooling and general ability. This article traces the disorder from its behavioural signature, a slow and effortful grasp of numerical magnitude, through the leading core-deficit accounts to its basis in the parietal cortex. Its central debate is whether the primary impairment lies in an inherited sense of approximate number or in the mapping between symbols and the magnitudes they denote. Three interactive demonstrations let the reader probe the numerical distance effect, follow the developmental trajectory of number acuity, and see how the diagnostic threshold sets the reported prevalence.

Keywords: dyscalculia, number sense, numerical cognition

Dyscalculia is a persistent difficulty in learning arithmetic and in grasping the magnitudes that numbers stand for, out of keeping with a person's age, schooling, and general intelligence (Butterworth, Varma, & Laurillard, 2011). It is the arithmetical counterpart of dyslexia, and like dyslexia it is developmental, specific, and enduring rather than a temporary gap that instruction closes. The World Health Organization classifies it in ICD-11 as 6A03.2, developmental learning disorder with impairment in mathematics, and the same condition appears in DSM-5 as a specific learning disorder with impairment in mathematics. What makes dyscalculia of theoretical interest, beyond its considerable practical cost, is that it isolates the machinery of number from the rest of cognition: a child of normal intelligence, memory, and language who nonetheless cannot tell at a glance that seven is more than five reveals that numerical competence rests on a dedicated system, one that can be selectively impaired. The sections below set out the core deficit and how it is measured, the competing accounts of its origin in the sense of number, its basis in the parietal lobe, its prevalence and diagnosis, and what intervention can achieve.

Key Takeaways
  • Dyscalculia is a specific, persistent learning disorder of arithmetic and number sense, distinct from low general ability or poor teaching, affecting roughly five to six percent of people.
  • Its behavioural signature is slow, effortful processing of numerical magnitude, seen in an exaggerated numerical distance effect and impaired comparison of quantities.
  • Leading accounts locate the core deficit either in an impaired approximate number system or in a weak mapping between number symbols and the magnitudes they denote.
  • Neuroimaging implicates the intraparietal sulcus, the parietal region that represents numerical magnitude in the typical brain.
  • Dyscalculia frequently co-occurs with dyslexia and attention disorders, yet its numerical deficit is dissociable from them.

The Core Numerical Deficit

The defining feature of dyscalculia is not that arithmetic facts are hard to memorise, though they are, but that the quantities behind the symbols are represented imprecisely. Karin Landerl, Anna Bevan, and Brian Butterworth tested eight- and nine-year-olds with dyscalculia on the simplest numerical tasks, comparing two digits, naming a digit, counting a set of dots, and found that the children were impaired on these basic capacities even though their reading, intelligence, and working memory were normal, which pointed to a deficit specific to number rather than a general cognitive weakness (Landerl, Bevan, & Butterworth, 2004). One of the clearest markers is the numerical distance effect: everyone is slower to decide which of two numbers is larger when the two are close, such as 6 and 7, than when they are far apart, such as 2 and 9, because close magnitudes overlap in their internal representation. In dyscalculia this effect is exaggerated, the sign of a coarser, fuzzier representation of magnitude in which even distant numbers are harder to tell apart. Butterworth argued that arithmetic development depends on an inherited capacity to represent and manipulate the number of things in a set, and that dyscalculia is best understood as a deficit in this foundational numerosity system rather than as a failure of memory or language (Butterworth, 2005). Figure 1 shows how overlapping magnitude representations produce the distance effect, and the demonstration below turns that idea into a reaction-time curve for a typical reader and for a reader whose representations are less precise.

Figure 1

Overlapping Magnitude Representations and the Numerical Distance Effect

Fuzzy internal representations of numbers overlapping on a mental number line A horizontal number line runs from one to nine. Above it, each number is drawn as a broad bell-shaped bump rather than a sharp point, representing an imprecise internal sense of that quantity. The bumps for the far-apart numbers two and eight barely overlap, so the two quantities are easy to tell apart and the comparison is fast. The bumps for the close numbers six and seven overlap heavily, so the two quantities are confusable and the comparison is slow. In dyscalculia the bumps are wider still, so even distant numbers overlap and every comparison is harder, which is the exaggerated distance effect. 1 2 3 4 5 6 7 8 9 2 8 far pair: little overlap, fast and accurate close pair 6 and 7: heavy overlap, slow
Note. Each number is represented not as a point but as a spread of activation on an internal number line, so nearby quantities overlap and are confusable. The greater the overlap, the slower and less accurate the comparison, which is the numerical distance effect. In dyscalculia the representations are broader, so overlap and confusion extend even to distant numbers. The figure is an original schematic of the magnitude-representation account.

Time It

The Numerical Distance Effect

Deciding which of two numbers is larger is slower when they are close together, such as 6 and 7, than when they are far apart, such as 2 and 9, because nearby magnitudes overlap in their internal representation. Move the distance between the two numbers and compare the reaction-time curves: the reader with dyscalculia, whose magnitudes are represented more coarsely, is slower everywhere and, crucially, slows far more sharply as the numbers get closer. That steeper rise is the exaggerated distance effect.

Numerical distance between the two numbers1 (compare 5 and 6)
numerical distance between the two numbers (near on left, far on right)reaction time (ms)400160012345678dyscalculia (k = 1200)typical (k = 600)
Typical readerReader with dyscalculia
At a distance of 1: the typical reader takes about 1000 ms and the reader with dyscalculia about 1600 ms, a gap of 600 ms. At the hardest, adjacent comparison the gap is at its widest, because the coarse representation overlaps most when the numbers are closest.
An illustrative reaction-time model: the time to judge which of two numbers is larger is a 400-millisecond baseline plus a term k divided by the numerical distance, with k set to 600 for a typical reader and 1200 for a reader with dyscalculia. This is the exact model used in the Worked Example; set the distance to 1 to reproduce 1000 against 1600 milliseconds. Timings are representative, not measured. Computed locally, not stored.

The Number-Sense Account

Where the core deficit comes from is the central theoretical question, and the leading answer points to the approximate number system, the evolutionarily ancient capacity to estimate and compare quantities without counting. Manuela Piazza and colleagues measured the precision of this system in children with dyscalculia by asking them to judge which of two dot clouds was more numerous, a task that needs no symbols or schooling, and found that a ten-year-old with dyscalculia had the number acuity of a typical five-year-old, a developmental lag of about five years in the most basic sense of quantity (Piazza et al., 2010). Michele Mazzocco, Lisa Feigenson, and Justin Halberda showed the same link from the other direction, reporting that the sharpness of the approximate number system, measured in ninth-graders, was poorer in those who had been identified with mathematical learning disability years earlier, tying the acuity of nonsymbolic number directly to the disorder (Mazzocco, Feigenson, & Halberda, 2011). This is the same system whose ordinary operation, and its relation to school mathematics, is set out in the article on the approximate number system and its link to math achievement. A competing view holds that the primary problem is not the approximate system itself but the access deficit, the weak or slow mapping between the exact symbols of formal arithmetic, the digits and number words, and the approximate magnitudes they are meant to denote, so that the symbols never come to evoke a firm sense of how much they mean. The two accounts are not mutually exclusive, and much current work treats dyscalculia as heterogeneous, with different children impaired at different points along the path from raw numerosity to fluent symbolic arithmetic. Whether any part of the number sense is spared is itself disputed: some studies report intact subitizing, the immediate apprehension of one to four items, alongside impaired estimation of larger quantities (Decarli et al., 2020), while others find children with dyscalculia slower even to enumerate these small sets, so the dissociation is far from clean (Landerl, Bevan, & Butterworth, 2004). The demonstration below traces how number acuity sharpens with age in typical development and lags in dyscalculia.

Track It

The Developmental Trajectory of Number Acuity

The precision of the approximate number system, measured as a Weber fraction, sharpens through childhood: the smaller the fraction, the finer the sense of quantity. In dyscalculia this development lags. Slide through the ages and read off the age-equivalent, the age of a typical child whose number acuity matches that of the child with dyscalculia. At age 10 the gap is about five years, the lag Piazza and colleagues reported.

Age of the child (years)10
age (years)Weber fraction (lower is sharper)00.867891011121314dyscalculiatypical
Typical developmentDyscalculia
At age 10: the child with dyscalculia has a Weber fraction of about 0.50, the number acuity of a typical child of about 5.0 years, a lag of roughly 5.0 years. This is the five-year gap Piazza and colleagues found: a 10-year-old with the acuity of a typical 5-year-old.
An illustrative model of the Weber fraction, the acuity of the approximate number system, sharpening with age toward an adult floor. A smaller fraction means finer discrimination. The dyscalculic curve is offset upward by a constant, and the age-equivalent is read off as the typical age with matching acuity. At age 10 the model returns the acuity of a typical 5-year-old, the five-year lag reported by Piazza and colleagues. Values are schematic, not measured. Computed locally, not stored.

The Brain Basis

The representation of numerical magnitude in the typical brain is centred on the parietal lobe, and specifically the intraparietal sulcus, a strip of cortex that responds to the quantity of a set whether it is shown as dots, digits, or number words. Dyscalculia is associated with altered function and structure in exactly this region. Gavin Price, Ian Holloway, Pekka Räsänen, Manda Vesterinen, and Daniel Ansari scanned children while they compared numerosities and found that, unlike typical children, those with dyscalculia failed to modulate intraparietal sulcus activity as a function of the distance between the quantities being compared, a direct neural echo of the imprecise magnitude representation seen in their behaviour (Price et al., 2007). Reviews of the imaging literature converge on the same picture of a parietal, and particularly intraparietal, difference in activation, connectivity, and grey matter, alongside compensatory recruitment of frontal regions as children work harder to reach answers that come automatically to their peers (Kucian & von Aster, 2015). Butterworth and colleagues drew the educational moral: because dyscalculia has an identifiable basis in a specialised brain system, it should be understood and remediated as a distinct developmental condition, not dismissed as laziness or low ability, and targeted teaching that rebuilds the sense of number can engage that system directly (Butterworth, Varma, & Laurillard, 2011). Table 1 summarises the signatures of dyscalculia at each level of analysis.

Table 1

Signatures of Dyscalculia Across Levels of Analysis

LevelSignatureInterpretation
BehaviouralExaggerated numerical distance effect; slow, error-prone magnitude comparisonCoarse internal representation of quantity
CognitivePoor acuity of the approximate number systemWeak foundational sense of number
NeuralReduced and less distance-tuned intraparietal sulcus activityAtypical parietal magnitude processing
EducationalPersistent low arithmetic attainment despite adequate teachingSpecific, enduring learning disorder

Note. The levels reinforce one another: the behavioural distance effect (Landerl, Bevan, & Butterworth, 2004), the impaired number acuity (Piazza et al., 2010), and the parietal signature (Price et al., 2007) are three views of a single deficit in the representation of numerical magnitude.

Prevalence and Diagnosis

Dyscalculia is about as common as dyslexia, with most surveys placing its prevalence between three and seven percent of the population; a large and careful epidemiological study in Israel put the figure at about six percent and, importantly, followed the children over time to show that the disorder is persistent rather than a passing delay (Shalev, Auerbach, Manor, & Gross-Tsur, 2000). Diagnosis rests on demonstrating a severe and specific weakness in mathematics, using standardised achievement tests, that is not explained by low general ability, poor schooling, or sensory impairment, and that has persisted despite appropriate instruction. The precise figure reported for prevalence depends heavily on where the threshold is drawn, because mathematical ability is continuous and dyscalculia occupies the lower tail of that continuum rather than forming a natural category with a clear boundary; a stricter cutoff yields a lower prevalence and a looser one a higher prevalence, which is much of why estimates vary across studies. A further complication is comorbidity: dyscalculia often co-occurs with dyslexia, attention-deficit disorder, and anxiety, and disentangling a primary numerical deficit from the arithmetic difficulties that follow from a reading or attention problem is a central diagnostic challenge. The demonstration below shows how the choice of diagnostic cutoff on a continuous distribution of ability translates directly into a prevalence estimate.

Set It

The Diagnostic Threshold Sets the Prevalence

Dyscalculia has no natural boundary; it is the lower tail of a continuous distribution of mathematical ability. That means the reported prevalence is not a fact of nature but a consequence of where the diagnostic line is drawn. Slide the cutoff and watch the shaded tail, and the prevalence it implies, grow and shrink. This is much of why published estimates range from three to seven percent.

Diagnostic cutoff (standard deviations below the mean)-1.5
meancutoffdyscalculiamathematical ability (standard deviations from the mean)
A cutoff 1.5 standard deviations below the mean marks the lowest 6.7% as dyscalculic, about 2 children in a class of 30. Near this cutoff the model returns roughly the six percent found by large epidemiological studies.
Mathematical ability is continuous and roughly normal, and dyscalculia occupies the lower tail. The reported prevalence is simply the area below the diagnostic cutoff, so a stricter cutoff yields a lower figure. A cutoff about 1.55 standard deviations below the mean gives roughly 6 percent, the estimate from Shalev and colleagues, or about 2 children in a class of 30. The distribution is illustrative. Computed locally, not stored.

Intervention and Outcome

Because the core deficit is in the sense of number itself, the most direct interventions rebuild numerical magnitude from the ground up, using structured practice with quantities, number lines, and games that link symbols to the amounts they represent, often delivered adaptively so that difficulty tracks the child's current level (Kucian & von Aster, 2015). The educational case set out by Butterworth and colleagues is that early, specific, sustained instruction aimed at the number sense can improve arithmetic in dyscalculia, and that adaptive software offers a way to deliver the intensive, individualised practice that the disorder demands (Butterworth, Varma, & Laurillard, 2011). Outcomes nonetheless remain sobering: without effective support the disorder persists into adulthood, where it carries real costs in employment, everyday financial management, and health decisions that require handling numbers, which is why identifying dyscalculia early and treating it as a genuine and specific condition matters as much as the theoretical questions it raises.

Worked Example

The exaggerated distance effect can be made concrete with the simple reaction-time model used in the demonstration above, in which the time to compare two numbers falls as the distance between them grows. Let the response time be a baseline of 400 milliseconds plus a term that shrinks with distance, so that time equals 400 plus the quantity *k* divided by the numerical distance *d*, where *k* scales the size of the distance effect. For a typical reader take *k* equal to 600, and for a reader with dyscalculia, whose magnitude representations are less precise, take *k* equal to 1200. Consider the hardest comparison, adjacent numbers a distance of 1 apart. The typical reader takes 400 plus 600 divided by 1, which is 1000 milliseconds, while the reader with dyscalculia takes 400 plus 1200 divided by 1, which is 1600 milliseconds. Now consider an easy comparison a distance of 5 apart. The typical reader takes 400 plus 600 divided by 5, that is 400 plus 120, or 520 milliseconds, and the reader with dyscalculia takes 400 plus 1200 divided by 5, that is 400 plus 240, or 640 milliseconds. The size of the distance effect is the difference between the hard and easy comparisons. For the typical reader it is 1000 minus 520, or 480 milliseconds; for the reader with dyscalculia it is 1600 minus 640, or 960 milliseconds, exactly twice as large. The steeper the reaction-time curve, the fuzzier the underlying representation of magnitude, which is why the exaggerated distance effect is read as evidence of a coarser sense of number.

Discussion

Dyscalculia matters first because it is a natural experiment in the architecture of the mind. That a person of normal intelligence, memory, and language can nonetheless fail at the most elementary numerical tasks is strong evidence that number rests on a dedicated cognitive and neural system, separable from general reasoning, and the disorder has become one of the main sources of evidence for that view (Butterworth, 2005). It matters second because the debate over its origin, an impaired approximate number system versus a broken mapping between symbols and magnitudes, sharpens a question that runs through all of numerical cognition, namely how the exact symbols of formal arithmetic connect to the approximate quantities the brain represents by default (Mazzocco, Feigenson, & Halberda, 2011). It matters third because the neural evidence ties a specific learning difficulty to a specific piece of cortex, offering a model for how developmental disorders can be understood as atypical development of identifiable brain systems (Price et al., 2007). And it matters in practice, because dyscalculia is common, persistent, and costly, yet far less recognised than dyslexia, so that many affected children are never identified and are left to conclude that they are simply bad at a subject that in fact depends on a system their brains build differently.

Common Misconceptions

Dyscalculia is just being bad at maths.
It is a specific and persistent disorder of numerical magnitude, present even on the simplest comparison and counting tasks that ordinary weakness at school mathematics leaves untouched, and it occurs despite adequate teaching (Landerl, Bevan, & Butterworth, 2004). Poor attainment can have many causes; dyscalculia is the particular one that starts in the sense of number.
Dyscalculia reflects low intelligence.
The numerical deficit appears in children whose intelligence, reading, and working memory are all normal, which is precisely what marks it as domain-specific rather than a symptom of general cognitive weakness (Landerl, Bevan, & Butterworth, 2004). Dyscalculia is found across the whole range of general ability.
Children grow out of dyscalculia.
Longitudinal follow-up shows the disorder is persistent, with most affected children continuing to struggle years later rather than catching up (Shalev, Auerbach, Manor, & Gross-Tsur, 2000). It is a developmental condition to be supported, not a delay that resolves on its own.

Glossary

Acalculia.
A loss of calculation ability caused by acquired brain damage in a person who had previously learned arithmetic.
Access deficit.
The hypothesis that dyscalculia stems from a weak mapping between number symbols and the magnitudes they denote, rather than from an impaired sense of quantity itself.
Approximate number system.
The evolutionarily ancient system that estimates and compares quantities approximately, without counting or symbols.
Arithmetic fact retrieval.
The recall of simple sums and products from memory rather than by computation, a process that is characteristically slow and unreliable in dyscalculia.
Comorbidity.
The co-occurrence of two disorders more often than chance, as when dyscalculia accompanies dyslexia or attention disorder.
Developmental dyscalculia.
Dyscalculia arising in the course of development, as distinct from acalculia acquired through later brain injury.
Dyscalculia.
A specific, persistent learning disorder that impairs arithmetic and the sense of number despite adequate schooling and general ability.
Intraparietal sulcus.
A groove in the parietal lobe that represents numerical magnitude and shows atypical activity in dyscalculia.
Magnitude representation.
The internal, approximate coding of how much a number denotes, pictured as a spread of activation on a mental number line.
Nonsymbolic number.
A quantity conveyed directly by a set of objects, such as a cloud of dots, and grasped without counting.
Number sense.
The intuitive, largely nonverbal grasp of quantity and its relations that underlies formal arithmetic.
Numerical distance effect.
The finding that comparing two numbers is slower and less accurate the closer together they are, revealing overlapping magnitude representations.
Specific learning disorder.
A neurodevelopmental disorder that impairs one academic domain, such as mathematics or reading, out of proportion to general ability.
Symbolic number.
A quantity conveyed by a learned symbol, such as a digit or a spoken number word, rather than by a perceived set.
Weber fraction.
A measure of the precision of the approximate number system; a smaller fraction means finer, more acute discrimination of quantities.

Key Researchers

Brian Butterworth (b. 1944). Emeritus Professor of Cognitive Neuropsychology at University College London; he argued that arithmetic rests on an inherited capacity for numerosity and framed dyscalculia as a deficit in that foundational number system, work summarised in his book on the mathematical brain. Faculty Page - ORCID - Google Scholar - Wikipedia

Daniel Ansari. Professor and Canada Research Chair at Western University, where he directs the Numerical Cognition Laboratory; his neuroimaging work established the atypical parietal magnitude processing that characterises dyscalculia in the developing brain. Faculty Page - ORCID - Google Scholar - Wikipedia

Karin Landerl. Professor of Developmental Psychology at the University of Graz; her studies of basic numerical capacities in children with dyscalculia isolated a number-specific deficit distinct from reading, intelligence, and memory. Faculty Page - ORCID - Google Scholar

Michele Mazzocco. Professor at the Institute of Child Development, University of Minnesota; her longitudinal research tied the acuity of the approximate number system to mathematical learning disability, connecting nonsymbolic number to the disorder. Faculty Page - ORCID - Google Scholar

Frequently Asked Questions

What is dyscalculia?
Dyscalculia is a specific learning disorder that makes arithmetic and the understanding of number persistently difficult, out of keeping with a person's age, schooling, and general intelligence. It is the mathematical counterpart of dyslexia and is thought to arise from an impaired sense of numerical magnitude rather than from low ability or poor teaching (Butterworth, Varma, & Laurillard, 2011).

What causes dyscalculia?
The leading view is that dyscalculia stems from a core deficit in the brain systems that represent numerical magnitude, in particular an imprecise approximate number system, so that quantities are grasped only coarsely and the symbols of arithmetic never map firmly onto the amounts they denote (Piazza et al., 2010). It runs in families and has a substantial heritable component.

How is dyscalculia different from just being bad at maths?
Ordinary difficulty with school mathematics can come from anxiety, gaps in teaching, or low general ability, whereas dyscalculia shows up on the most elementary numerical tasks, such as comparing two digits or counting a small set, even when intelligence, reading, and memory are normal (Landerl, Bevan, & Butterworth, 2004). It is specific, persistent, and rooted in the sense of number.

How common is dyscalculia?
Most studies place the prevalence between three and seven percent, roughly as common as dyslexia, with a large epidemiological study reporting about six percent (Shalev, Auerbach, Manor, & Gross-Tsur, 2000). The exact figure depends on where the diagnostic threshold is set, because mathematical ability is continuous.

What part of the brain is involved in dyscalculia?
Numerical magnitude is represented in the parietal lobe, and especially the intraparietal sulcus, which shows reduced and less finely tuned activity in dyscalculia when children compare quantities (Price et al., 2007). Structural and connectivity differences in the same parietal region have also been reported.

Is dyscalculia related to dyslexia?
Dyscalculia and dyslexia frequently co-occur, more often than chance would predict, yet they are dissociable: many children have one without the other, and the numerical deficit in dyscalculia can be shown to be independent of reading ability (Landerl, Bevan, & Butterworth, 2004). Their overlap is a major challenge for diagnosis.

Can dyscalculia be treated?
Targeted intervention that rebuilds the sense of number, often through adaptive software and structured practice with quantities and number lines, can improve arithmetic, especially when it begins early and is sustained (Kucian & von Aster, 2015). There is no quick cure, but the disorder responds to specific, intensive teaching aimed at its core.

Do children outgrow dyscalculia?
Dyscalculia is persistent rather than a passing delay; longitudinal follow-up shows that most affected children continue to struggle years later and into adulthood without effective support (Shalev, Auerbach, Manor, & Gross-Tsur, 2000). Early identification and ongoing help are therefore important.

Support Organizations

Organizations that provide information, assessment guidance, and advocacy for dyscalculia and related learning differences.

Dyscalculia.org — US nonprofit dedicated to mathematical learning disability, offering free public information, diagnostic guidance, and remedial resources. (United States)

Learning Disabilities Association of America — National nonprofit providing support, education, and advocacy for people with learning disabilities, with affiliates in every state. (United States)

Understood — 501(c)(3) nonprofit offering free, expert-designed resources for people who learn and think differently, including dyscalculia. (United States)

The Dyscalculia Network — UK community interest company connecting families, educators, and specialists with dyscalculia guidance and intervention. (United Kingdom)

IFDDA — International Federation of Dyslexia and Dyscalculia Associations, a non-profit umbrella connecting member associations across several countries. (International)

References

Butterworth, B. (2005). The development of arithmetical abilities. Journal of Child Psychology and Psychiatry, 46(1), 3-18. https://doi.org/10.1111/j.1469-7610.2004.00374.x

Butterworth, B., Varma, S., & Laurillard, D. (2011). Dyscalculia: From brain to education. Science, 332(6033), 1049-1053. https://doi.org/10.1126/science.1201536

Decarli, G., Paris, E., Tencati, C., Nardelli, C., Vescovi, M., Surian, L., & Piazza, M. (2020). Impaired large numerosity estimation and intact subitizing in developmental dyscalculia. PLOS ONE, 15(12), e0244578. https://doi.org/10.1371/journal.pone.0244578

Kucian, K., & von Aster, M. (2015). Developmental dyscalculia. European Journal of Pediatrics, 174(1), 1-13. https://doi.org/10.1007/s00431-014-2455-7

Landerl, K., Bevan, A., & Butterworth, B. (2004). Developmental dyscalculia and basic numerical capacities: A study of 8-9-year-old students. Cognition, 93(2), 99-125. https://doi.org/10.1016/j.cognition.2003.11.004

Mazzocco, M. M. M., Feigenson, L., & Halberda, J. (2011). Impaired acuity of the approximate number system underlies mathematical learning disability (dyscalculia). Child Development, 82(4), 1224-1237. https://doi.org/10.1111/j.1467-8624.2011.01608.x

Piazza, M., Facoetti, A., Trussardi, A. N., Berteletti, I., Conte, S., Lucangeli, D., Dehaene, S., & Zorzi, M. (2010). Developmental trajectory of number acuity reveals a severe impairment in developmental dyscalculia. Cognition, 116(1), 33-41. https://doi.org/10.1016/j.cognition.2010.03.012

Price, G. R., Holloway, I., Räsänen, P., Vesterinen, M., & Ansari, D. (2007). Impaired parietal magnitude processing in developmental dyscalculia. Current Biology, 17(24), R1042-R1043. https://doi.org/10.1016/j.cub.2007.10.013

Shalev, R. S., Auerbach, J., Manor, O., & Gross-Tsur, V. (2000). Developmental dyscalculia: Prevalence and prognosis. European Child & Adolescent Psychiatry, 9(Suppl 2), S58-S64. https://doi.org/10.1007/s007870070009