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Ashburn SM, Matejko AA, Eden GF. Activation and functional connectivity of cerebellum during reading and during arithmetic in children with combined reading and math disabilities. Front Neurosci 2024; 18:1135166. [PMID: 38741787 PMCID: PMC11090247 DOI: 10.3389/fnins.2024.1135166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 02/06/2024] [Indexed: 05/16/2024] Open
Abstract
Background Reading and math constitute important academic skills, and as such, reading disability (RD or developmental dyslexia) and math disability (MD or developmental dyscalculia) can have negative consequences for children's educational progress. Although RD and MD are different learning disabilities, they frequently co-occur. Separate theories have implicated the cerebellum and its cortical connections in RD and in MD, suggesting that children with combined reading and math disability (RD + MD) may have altered cerebellar function and disrupted functional connectivity between the cerebellum and cortex during reading and during arithmetic processing. Methods Here we compared Control and RD + MD groups during a reading task as well as during an arithmetic task on (i) activation of the cerebellum, (ii) background functional connectivity, and (iii) task-dependent functional connectivity between the cerebellum and the cortex. Results The two groups (Control, RD + MD) did not differ for either task (reading, arithmetic) on any of the three measures (activation, background functional connectivity, task-dependent functional connectivity). Conclusion These results do not support theories that children's deficits in reading and math originate in the cerebellum.
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Affiliation(s)
| | | | - Guinevere F. Eden
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington, DC, United States
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2
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Marks RA, Pollack C, Meisler SL, D'Mello AM, Centanni TM, Romeo RR, Wade K, Matejko AA, Ansari D, Gabrieli JDE, Christodoulou JA. Neurocognitive mechanisms of co-occurring math difficulties in dyslexia: Differences in executive function and visuospatial processing. Dev Sci 2024; 27:e13443. [PMID: 37675857 PMCID: PMC10918042 DOI: 10.1111/desc.13443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 08/02/2023] [Accepted: 08/14/2023] [Indexed: 09/08/2023]
Abstract
Children with dyslexia frequently also struggle with math. However, studies of reading disability (RD) rarely assess math skill, and the neurocognitive mechanisms underlying co-occurring reading and math disability (RD+MD) are not clear. The current study aimed to identify behavioral and neurocognitive factors associated with co-occurring MD among 86 children with RD. Within this sample, 43% had co-occurring RD+MD and 22% demonstrated a possible vulnerability in math, while 35% had no math difficulties (RD-Only). We investigated whether RD-Only and RD+MD students differed behaviorally in their phonological awareness, reading skills, or executive functions, as well as in the brain mechanisms underlying word reading and visuospatial working memory using functional magnetic resonance imaging (fMRI). The RD+MD group did not differ from RD-Only on behavioral or brain measures of phonological awareness related to speech or print. However, the RD+MD group demonstrated significantly worse working memory and processing speed performance than the RD-Only group. The RD+MD group also exhibited reduced brain activations for visuospatial working memory relative to RD-Only. Exploratory brain-behavior correlations along a broad spectrum of math ability revealed that stronger math skills were associated with greater activation in bilateral visual cortex. These converging neuro-behavioral findings suggest that poor executive functions in general, including differences in visuospatial working memory, are specifically associated with co-occurring MD in the context of RD. RESEARCH HIGHLIGHTS: Children with reading disabilities (RD) frequently have a co-occurring math disability (MD), but the mechanisms behind this high comorbidity are not well understood. We examined differences in phonological awareness, reading skills, and executive function between children with RD only versus co-occurring RD+MD using behavioral and fMRI measures. Children with RD only versus RD+MD did not differ in their phonological processing, either behaviorally or in the brain. RD+MD was associated with additional behavioral difficulties in working memory, and reduced visual cortex activation during a visuospatial working memory task.
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Affiliation(s)
- Rebecca A Marks
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, Massachusetts, USA
| | - Courtney Pollack
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Steven L Meisler
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, Massachusetts, USA
| | - Anila M D'Mello
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Department of Psychology, University of Texas at Dallas, Richardson, Texas, USA
| | - Tracy M Centanni
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Psychology, Texas Christian University, Fort Worth, Texas, USA
| | - Rachel R Romeo
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Human Development and Quantitative Methodology, University of Maryland College Park, College Park, Maryland, USA
| | - Karolina Wade
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Anna A Matejko
- Department of Psychology, University of Western Ontario, London, Ontario, Canada
- Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
- Department of Psychology, Durham University, Durham, UK
| | - Daniel Ansari
- Department of Psychology, University of Western Ontario, London, Ontario, Canada
- Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
| | - John D E Gabrieli
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Joanna A Christodoulou
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, Massachusetts, USA
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Matejko AA, Lozano M, Schlosberg N, McKay C, Core L, Revsine C, Davis SN, Eden GF. The relationship between phonological processing and arithmetic in children with learning disabilities. Dev Sci 2023; 26:e13294. [PMID: 35727164 PMCID: PMC9768103 DOI: 10.1111/desc.13294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 05/24/2022] [Accepted: 05/25/2022] [Indexed: 01/21/2023]
Abstract
Phonological processing skills have not only been shown to be important for reading skills, but also for arithmetic skills. Specifically, previous research in typically developing children has suggested that phonological processing skills may be more closely related to arithmetic problems that are solved through fact retrieval (e.g., remembering the solution from memory) than procedural computation (e.g., counting). However, the relationship between phonological processing and arithmetic in children with learning disabilities (LDs) has not been investigated. Yet, understanding these relationships in children with LDs is especially important because it can help elucidate the cognitive underpinnings of math difficulties, explain why reading and math disabilities frequently co-occur, and provide information on which cognitive skills to target for interventions. In 63 children with LDs, we examined the relationship between different phonological processing skills (phonemic awareness, phonological memory, and rapid serial naming) and arithmetic. We distinguished between arithmetic problems that tend to be solved with fact retrieval versus procedural computation to determine whether phonological processing skills are differentially related to these two arithmetic processes. We found that phonemic awareness, but not phonological memory or rapid serial naming, was related to arithmetic fact retrieval. We also found no association between any phonological processing skills and procedural computation. These results converge with prior research in typically developing children and suggest that phonemic awareness is also related to arithmetic fact retrieval in children with LD. These results raise the possibility that phonemic awareness training might improve both reading and arithmetic fact retrieval skills. RESEARCH HIGHLIGHTS: Relationships between phonological processing and various arithmetic skills were investigated in children with learning disabilities (LDs) for the first time. We found phonemic awareness was related to arithmetic involving fact retrieval, but not to arithmetic involving procedural computation in LDs. The results suggest that phonemic awareness is not only important to skilled reading, but also to some aspects of arithmetic. These results raise the question of whether intervention in phonemic awareness might improve arithmetic fact retrieval skills.
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Affiliation(s)
- Anna A Matejko
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington, District of Columbia, USA
| | - Melanie Lozano
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington, District of Columbia, USA
| | - Nicole Schlosberg
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington, District of Columbia, USA
| | - Cameron McKay
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington, District of Columbia, USA
- Interdisciplinary Program in Neuroscience, Georgetown University, Washington, District of Columbia, USA
| | - Lucy Core
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington, District of Columbia, USA
| | - Cambria Revsine
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington, District of Columbia, USA
| | - Shelby N Davis
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington, District of Columbia, USA
| | - Guinevere F Eden
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington, District of Columbia, USA
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Sokolowski HM, Matejko AA, Ansari D. The role of the angular gyrus in arithmetic processing: a literature review. Brain Struct Funct 2023; 228:293-304. [PMID: 36376522 DOI: 10.1007/s00429-022-02594-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 10/30/2022] [Indexed: 11/16/2022]
Abstract
Since the pioneering work of the early 20th century neuropsychologists, the angular gyrus (AG), particularly in the left hemisphere, has been associated with numerical and mathematical processing. The association between the AG and numerical and mathematical processing has been substantiated by neuroimaging research. In the present review article, we will examine what is currently known about the role of the AG in numerical and mathematical processing with a particular focus on arithmetic. Specifically, we will examine the role of the AG in the retrieval of arithmetic facts in both typically developing children and adults. The review article will consider alternative accounts that posit that the involvement of the AG is not specific to arithmetic processing and will consider how numerical and mathematical processing and their association with the AG overlap with other neurocognitive processes. The review closes with a discussion of future directions to further characterize the relationship between the angular gyrus and arithmetic processing.
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Affiliation(s)
- H Moriah Sokolowski
- Rotman Research Institute, Baycrest Hospital, North York, ON, M6A 2E1, Canada.,Numerical Cognition Laboratory, Department of Psychology & Brain and Mind Institute, University of Western Ontario, London, ON, N6A 3K, Canada
| | - Anna A Matejko
- Department of Psychology, Durham University, Durham, DH1 3LE, UK
| | - Daniel Ansari
- Numerical Cognition Laboratory, Department of Psychology & Brain and Mind Institute, University of Western Ontario, London, ON, N6A 3K, Canada.
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Laws ML, Matejko AA, Lozano M, Napoliello E, Eden GF. Dorsal visual stream activity during coherent motion processing is not related to math ability or dyscalculia. Neuroimage Clin 2022; 35:103042. [PMID: 35580422 PMCID: PMC9117688 DOI: 10.1016/j.nicl.2022.103042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 04/12/2022] [Accepted: 05/08/2022] [Indexed: 11/16/2022]
Abstract
Math disability (MD) or developmental dyscalculia is a highly prevalent learning disability involving deficits in computation and arithmetic fact retrieval and is associated with dysfunction of parietal and prefrontal cortices. It has been suggested that dyscalculia (and other learning disabilities and developmental disorders) can be viewed in terms of a broader 'dorsal stream vulnerability,' which could explain a range of dorsal visual stream function deficits, including poor coherent visual motion perception. Behavioral evidence from two studies in typical children has linked performance on visual motion perception to math ability, and a third behavioral study reported poorer visual motion perception in a small group of children with MD compared to controls. Visual motion perception relies on the magnocellular-dominated dorsal stream, particularly its constituent area V5/MT. Here we used functional MRI to measure brain activity in area V5/MT during coherent visual motion processing to test its relationship with math ability. While we found bilateral activation in V5/MT in 66 children/adolescents with varied math abilities, we found no relationships between V5/MT activity and standardized math measures. Next, we selected a group of children/adolescents with MD (n = 23) and compared them to typically developing controls (n = 18), but found no differences in activity in V5/MT or elsewhere in the brain. We followed these frequentist statistics with Bayesian analyses, which favored null models in both studies. We conclude that dorsal stream function subserving visual motion processing in area V5/MT is not related to math ability, nor is it altered in those with the math disability dyscalculia.
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Affiliation(s)
- Marissa L Laws
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington DC, United States; Interdisciplinary Program in Neuroscience, Georgetown University Medical Center, Washington DC, United States
| | - Anna A Matejko
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington DC, United States
| | - Melanie Lozano
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington DC, United States
| | - Eileen Napoliello
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington DC, United States
| | - Guinevere F Eden
- Center for the Study of Learning, Department of Pediatrics, Georgetown University Medical Center, Washington DC, United States; Interdisciplinary Program in Neuroscience, Georgetown University Medical Center, Washington DC, United States.
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Brignoni‐Pérez E, Matejko AA, Jamal NI, Eden GF. Functional neuroanatomy of arithmetic in monolingual and bilingual adults and children. Hum Brain Mapp 2021; 42:4880-4895. [PMID: 34255408 PMCID: PMC8449110 DOI: 10.1002/hbm.25587] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 06/08/2021] [Accepted: 06/28/2021] [Indexed: 12/31/2022] Open
Abstract
Prior studies on the brain bases of arithmetic have not focused on (or even described) their participants' language backgrounds. Yet, unlike monolinguals, early bilinguals have the capacity to solve arithmetic problems in both of their two languages. This raises the question whether this ability, or any other experience that comes with being bilingual, affects brain activity for arithmetic in bilinguals relative to monolinguals. Here, we used functional magnetic resonance imaging to compare brain activity in 44 English monolinguals and 44 Spanish-English early bilinguals, during the solving of arithmetic problems in English. We used a factorial design to test for a main effect of bilingual Language Experience. Based on the known modulating roles of arithmetic operation and age, we used two arithmetic tasks (addition and subtraction) and studied two age groups (adults and children). When collapsing across operations and age, we found broad bilateral activation for arithmetic in both the monolingual group and the bilingual group. However, an analysis of variance revealed that there was no effect of Language Experience, nor an interaction of Language Experience with Operation or Age Group. Bayesian analyses within regions of interest chosen for their role in arithmetic further supported the finding of no effect of Language Experience on brain activity underlying arithmetic. We conclude that early bilingualism does not influence the functional neuroanatomy of simple arithmetic.
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Affiliation(s)
- Edith Brignoni‐Pérez
- Center for the Study of Learning, Department of PediatricsGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
- Interdisciplinary Program in NeuroscienceGeorgetown UniversityWashingtonDistrict of ColumbiaUSA
| | - Anna A. Matejko
- Center for the Study of Learning, Department of PediatricsGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
| | - Nasheed I. Jamal
- Center for the Study of Learning, Department of PediatricsGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
| | - Guinevere F. Eden
- Center for the Study of Learning, Department of PediatricsGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
- Interdisciplinary Program in NeuroscienceGeorgetown UniversityWashingtonDistrict of ColumbiaUSA
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Abstract
Visuospatial working memory (VSWM) plays an important role in arithmetic problem solving, and the relationship between these two skills is thought to change over development. Even though neuroimaging studies have demonstrated that VSWM and arithmetic both recruit frontoparietal networks, inferences about common neural substrates have largely been made by comparisons across studies. Little work has examined how brain activation for VSWM and arithmetic converge within the same participants and whether there are age-related changes in the overlap of these neural networks. In this study, we examined how brain activity for VSWM and arithmetic overlap in 38 children and 26 adults. Although both children and adults recruited the intraparietal sulcus (IPS) for VSWM and arithmetic, children showed more focal activation within the right IPS, whereas adults recruited the bilateral IPS, superior frontal sulcus/middle frontal gyrus, and right insula. A comparison of the two groups revealed that adults recruited a more left-lateralized network of frontoparietal regions for VSWM and arithmetic compared with children. Together, these findings suggest possible neurocognitive mechanisms underlying the strong relationship between VSWM and arithmetic and provide evidence that the association between VSWM and arithmetic networks changes with age.
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Affiliation(s)
- Anna A Matejko
- Georgetown University, Washington, DC.,Western University, London, ON, Canada
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Torre GA, Matejko AA, Eden GF. The relationship between brain structure and proficiency in reading and mathematics in children, adolescents, and emerging adults. Dev Cogn Neurosci 2020; 45:100856. [PMID: 32949854 PMCID: PMC7502824 DOI: 10.1016/j.dcn.2020.100856] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 08/26/2020] [Accepted: 09/04/2020] [Indexed: 11/18/2022] Open
Abstract
Behavioral and brain imaging studies speak to commonalities between reading and math. Here, we investigated relationships between individual differences in reading and math ability (single word reading and calculation) with brain anatomy (cortical thickness and surface area) in 342 participants between 6-22 years of age from the NIH Pediatric MRI Database. We found no brain-behavioral correlations in the full sample. When dividing the dataset into three age-specific subgroups, cortical thickness of the left supramarginal gyrus (SMG) and fusiform gyrus (FG) correlated with reading ability in the oldest subgroup (15-22 years) only. Next, we tested unique contributions of these educational measures to neuroanatomy. Single word reading ability, age, and their interaction all contributed unique variance to cortical thickness in the left SMG and intraparietal sulcus (IPS). Age, and the interaction between age and reading, predicted cortical thickness in the left FG. However, regression analyses for math ability showed no relationships with cortical thickness; nor for math or reading ability with surface area. Overall, our results demonstrate relationships between cortical thickness and reading ability in emerging adults, but not in younger age groups. Surprisingly, there were no such relationships with math, and hence no convergence between the reading and math results.
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Affiliation(s)
- G A Torre
- Center for the Study of Learning, Georgetown University Medical Center, Washington DC, United States; Department of Pediatrics, Georgetown University Medical Center, Washington DC, United States.
| | - A A Matejko
- Center for the Study of Learning, Georgetown University Medical Center, Washington DC, United States; Department of Pediatrics, Georgetown University Medical Center, Washington DC, United States
| | - G F Eden
- Center for the Study of Learning, Georgetown University Medical Center, Washington DC, United States; Department of Pediatrics, Georgetown University Medical Center, Washington DC, United States.
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Matejko AA, Ansari D. The neural association between arithmetic and basic numerical processing depends on arithmetic problem size and not chronological age. Dev Cogn Neurosci 2019; 37:100653. [PMID: 31102959 PMCID: PMC6969316 DOI: 10.1016/j.dcn.2019.100653] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 04/16/2019] [Accepted: 04/26/2019] [Indexed: 11/30/2022] Open
Abstract
The intraparietal sulcus (IPS) is thought to be an important region for basic number processing (e.g. symbol-quantity associations) and arithmetic (e.g. addition). Evidence for shared circuitry within the IPS is largely based on comparisons across studies, and little research has investigated number processing and arithmetic in the same individuals. It is also unclear how the neural overlap between number processing and arithmetic is influenced by age and arithmetic problem difficulty. This study investigated these unresolved questions by examining basic number processing (symbol-quantity matching) and arithmetic (addition) networks in 26 adults and 42 children. Number processing and arithmetic elicited overlapping activity in the IPS in children and adults, however, the overlap was influenced by arithmetic problem size (i.e. which modulated the need to use procedural strategies). The IPS was recruited for number processing, and for arithmetic problems more likely to be solved using procedural strategies. We also found that the overlap between number processing and small-problem addition in children was comparable to the overlap between number processing and large-problem addition in adults. This finding suggests that the association between number processing and arithmetic in the IPS is related to the cognitive operation being performed rather than age.
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Affiliation(s)
- Anna A Matejko
- Numerical Cognition Laboratory, Department of Psychology and Brain & Mind Institute, Western University, London, ON, Canada; Center for the Study of Learning, Department of Pediatrics, Building D, Georgetown University, Washington DC, USA.
| | - Daniel Ansari
- Numerical Cognition Laboratory, Department of Psychology and Brain & Mind Institute, Western University, London, ON, Canada.
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Matejko AA, Ansari D. How do individual differences in children's domain specific and domain general abilities relate to brain activity within the intraparietal sulcus during arithmetic? An fMRI study. Hum Brain Mapp 2017; 38:3941-3956. [PMID: 28488352 DOI: 10.1002/hbm.23640] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 04/21/2017] [Accepted: 04/24/2017] [Indexed: 11/10/2022] Open
Abstract
Previous research has demonstrated that children recruit the intraparietal sulcus (IPS) during arithmetic, which has largely been attributed to domain-specific processes such as quantity manipulations. However, the IPS has also been found to be important for domain-general abilities, such as visuo-spatial working memory (VSWM). Based on the current literature it is unclear whether individual differences in domain-specific skills, domain-general skills, or a combination of the two, are related to the recruitment of the IPS during arithmetic. This study examines how individual differences in both domain general and domain specific competencies relate to brain activity in the IPS during arithmetic, and whether the relationships are related to how brain activity is measured. In a sample of 44 school-aged children, we found that VSWM was only weakly related to a neural index of arithmetic complexity (neural problem size effect), whereas symbolic number processing skills (symbolic comparison and ordering) were related to overall arithmetic activity (both small and large problems). By simultaneously examining multiple domain-general and domain specific measures, we were also able to determine that symbolic skills were a stronger predictor of brain activity within the IPS than domain general skills such as VSWM and domain specific skills such as non-symbolic number processing. Together, these findings highlight that neural problem size effect may reflect different cognitive processes than brain activity across both small and large arithmetic problems, and that symbolic number processing skills are a critical predictor of variability in IPS activity during arithmetic. Hum Brain Mapp 38:3941-3956, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Anna A Matejko
- Numerical Cognition Laboratory, Department of Psychology and Brain & Mind Institute, Westminster Hall, Western University, London, Ontario, Canada
| | - Daniel Ansari
- Numerical Cognition Laboratory, Department of Psychology and Brain & Mind Institute, Westminster Hall, Western University, London, Ontario, Canada
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Merkley R, Matejko AA, Ansari D. Strong causal claims require strong evidence: A commentary on Wang and colleagues. J Exp Child Psychol 2017; 153:163-167. [DOI: 10.1016/j.jecp.2016.07.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Accepted: 07/14/2016] [Indexed: 10/20/2022]
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Matejko AA, Ansari D. Trajectories of Symbolic and Nonsymbolic Magnitude Processing in the First Year of Formal Schooling. PLoS One 2016; 11:e0149863. [PMID: 26930195 PMCID: PMC4773065 DOI: 10.1371/journal.pone.0149863] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2015] [Accepted: 02/05/2016] [Indexed: 11/27/2022] Open
Abstract
Sensitivity to numerical magnitudes is thought to provide a foundation for higher-level mathematical skills such as calculation. It is still unclear how symbolic (e.g. Arabic digits) and nonsymbolic (e.g. Dots) magnitude systems develop and how the two formats relate to one another. Some theories propose that children learn the meaning of symbolic numbers by scaffolding them onto a pre-existing nonsymbolic system (Approximate Number System). Others suggest that symbolic and nonsymbolic magnitudes have distinct and non-overlapping representations. In the present study, we examine the developmental trajectories of symbolic and nonsymbolic magnitude processing skills and how they relate to each other in the first year of formal schooling when children are becoming more fluent with symbolic numbers. Thirty Grade 1 children completed symbolic and nonsymbolic magnitude processing tasks at three time points in Grade 1. We found that symbolic and nonsymbolic magnitude processing skills had distinct developmental trajectories, where symbolic magnitude processing was characterized by greater gains than nonsymbolic skills over the one-year period in Grade 1. We further found that the development of the two formats only related to one another in the first half of the school year where symbolic magnitude processing skills influenced later nonsymbolic skills. These findings indicate that symbolic and nonsymbolic abilities have different developmental trajectories and that the development of symbolic abilities is not strongly linked to nonsymbolic representations by Grade 1. These findings also suggest that the relationship between symbolic and nonsymbolic processing is not as unidirectional as previously thought.
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Affiliation(s)
- Anna A. Matejko
- Numerical Cognition Laboratory, Department of Psychology and Brain & Mind Institute, Westminster Hall, Western University, London ON, Canada
| | - Daniel Ansari
- Numerical Cognition Laboratory, Department of Psychology and Brain & Mind Institute, Westminster Hall, Western University, London ON, Canada
- * E-mail:
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Matejko AA, Ansari D. Drawing connections between white matter and numerical and mathematical cognition: A literature review. Neurosci Biobehav Rev 2015; 48:35-52. [DOI: 10.1016/j.neubiorev.2014.11.006] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Revised: 11/05/2014] [Accepted: 11/08/2014] [Indexed: 10/24/2022]
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Matejko AA, Price GR, Mazzocco MMM, Ansari D. Individual differences in left parietal white matter predict math scores on the Preliminary Scholastic Aptitude Test. Neuroimage 2012; 66:604-10. [PMID: 23108272 DOI: 10.1016/j.neuroimage.2012.10.045] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2012] [Revised: 08/31/2012] [Accepted: 10/04/2012] [Indexed: 11/18/2022] Open
Abstract
Mathematical skills are of critical importance, both academically and in everyday life. Neuroimaging research has primarily focused on the relationship between mathematical skills and functional brain activity. Comparatively few studies have examined which white matter regions support mathematical abilities. The current study uses diffusion tensor imaging (DTI) to test whether individual differences in white matter predict performance on the math subtest of the Preliminary Scholastic Aptitude Test (PSAT). Grades 10 and 11 PSAT scores were obtained from 30 young adults (ages 17-18) with wide-ranging math achievement levels. Tract based spatial statistics was used to examine the correlation between PSAT math scores, fractional anisotropy (FA), radial diffusivity (RD) and axial diffusivity (AD). FA in left parietal white matter was positively correlated with math PSAT scores (specifically in the left superior longitudinal fasciculus, left superior corona radiata, and left corticospinal tract) after controlling for chronological age and same grade PSAT critical reading scores. Furthermore, RD, but not AD, was correlated with PSAT math scores in these white matter microstructures. The negative correlation with RD further suggests that participants with higher PSAT math scores have greater white matter integrity in this region. Individual differences in FA and RD may reflect variability in experience dependent plasticity over the course of learning and development. These results are the first to demonstrate that individual differences in white matter are associated with mathematical abilities on a nationally administered scholastic aptitude measure.
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Affiliation(s)
- Anna A Matejko
- Numerical Cognition Laboratory, Department of Psychology and Institute for Brain and Mind, The University of Western Ontario, London, ON, Canada.
| | - Gavin R Price
- Numerical Cognition Laboratory, Department of Psychology and Institute for Brain and Mind, The University of Western Ontario, London, ON, Canada.
| | - Michèle M M Mazzocco
- Institute of Child Development and the Center for Early Education and Development, University of Minnesota, Minneapolis MN, USA.
| | - Daniel Ansari
- Numerical Cognition Laboratory, Department of Psychology and Institute for Brain and Mind, The University of Western Ontario, London, ON, Canada.
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