What does EEG tell us about arithmetic strategies? A review

Hinault, Thomas; Lemaire, Patrick

doi:10.1016/j.ijpsycho.2016.05.006

Cited by 52 publications

(31 citation statements)

References 145 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…By using these methods in combination, it is further possible to use a (written) production paradigm (for verbal production paradigms see Gruber et al, 2001; Zago et al, 2001). This might allow for the measurement of arithmetic processing in individuals with high and low math performance in a more natural setting and to reduce additional decision and recognition processes occurring in verification and choice-reaction paradigms (Hinault and Lemaire, 2016). We hypothesize an interaction of math ability and arithmetic complexity on the behavioral level in terms of RT and ER as well as on the neural level in terms of activation differences in the left IFG and left AG and changes in theta synchronization and alpha desynchronization.…”

Section: Introductionmentioning

confidence: 99%

Individual Differences in Math Ability Determine Neurocognitive Processing of Arithmetic Complexity: A Combined fNIRS-EEG Study

Artemenko

Soltanlou

Bieck

et al. 2019

Front. Hum. Neurosci.

View full text Add to dashboard Cite

Some individuals experience more difficulties with math than others, in particular when arithmetic problems get more complex. Math ability, on one hand, and arithmetic complexity, on the other hand, seem to partly share neural underpinnings. This study addresses the question of whether this leads to an interaction of math ability and arithmetic complexity for multiplication and division on behavioral and neural levels. Previously screened individuals with high and low math ability solved multiplication and division problems in a written production paradigm while brain activation was assessed by combined functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG). Arithmetic complexity was manipulated by using single-digit operands for simple multiplication problems and operands between 2 and 19 for complex multiplication problems and the corresponding division problems. On the behavioral level, individuals with low math ability needed more time for calculation, especially for complex arithmetic. On the neural level, fNIRS results revealed that these individuals showed less activation in the left supramarginal gyrus (SMG), superior temporal gyrus (STG) and inferior frontal gyrus (IFG) than individuals with high math ability when solving complex compared to simple arithmetic. This reflects the greater use of arithmetic fact retrieval and also the more efficient processing of arithmetic complexity by individuals with high math ability. Oscillatory EEG analysis generally revealed theta and alpha desynchronization with increasing arithmetic complexity but showed no interaction with math ability. Because of the discovered interaction for behavior and brain activation, we conclude that the consideration of individual differences is essential when investigating the neurocognitive processing of arithmetic.

show abstract

Section: Introductionmentioning

confidence: 99%

Individual Differences in Math Ability Determine Neurocognitive Processing of Arithmetic Complexity: A Combined fNIRS-EEG Study

Artemenko

Soltanlou

Bieck

et al. 2019

Front. Hum. Neurosci.

View full text Add to dashboard Cite

show abstract

“…First, verification and forced choice paradigms, which are particularly apt for movement-sensitive fMRI measurements, allow for shortcut strategies depending on the distractor, and include additional decision and recognition processes (cf. [ 25 , 40 – 42 ]) not involved in the spontaneous calculation of arithmetic problems. Thus, these paradigms have little in common with the written production process usually employed in school.…”

Section: Introductionmentioning

confidence: 99%

The neural correlates of mental arithmetic in adolescents: a longitudinal fNIRS study

et al. 2018

View full text Add to dashboard Cite

BackgroundArithmetic processing in adults is known to rely on a frontal-parietal network. However, neurocognitive research focusing on the neural and behavioral correlates of arithmetic development has been scarce, even though the acquisition of arithmetic skills is accompanied by changes within the fronto-parietal network of the developing brain. Furthermore, experimental procedures are typically adjusted to constraints of functional magnetic resonance imaging, which may not reflect natural settings in which children and adolescents actually perform arithmetic. Therefore, we investigated the longitudinal neurocognitive development of processes involved in performing the four basic arithmetic operations in 19 adolescents. By using functional near-infrared spectroscopy, we were able to use an ecologically valid task, i.e., a written production paradigm.ResultsA common pattern of activation in the bilateral fronto-parietal network for arithmetic processing was found for all basic arithmetic operations. Moreover, evidence was obtained for decreasing activation during subtraction over the course of 1 year in middle and inferior frontal gyri, and increased activation during addition and multiplication in angular and middle temporal gyri. In the self-paced block design, parietal activation in multiplication and left angular and temporal activation in addition were observed to be higher for simple than for complex blocks, reflecting an inverse effect of arithmetic complexity.ConclusionsIn general, the findings suggest that the brain network for arithmetic processing is already established in 12–14 year-old adolescents, but still undergoes developmental changes.Electronic supplementary materialThe online version of this article (10.1186/s12993-018-0137-8) contains supplementary material, which is available to authorized users.

show abstract

“…It is important to note that the inclusion criteria we used in the papers selection led us to exclude all the studies which applied a time limit constraint due to the experimental setting, i.e., studies which did not actually impose a direct time limit on the performance, but instead looked at results by setting a post-hoc deadline for responses (e.g., ERP studies for time course analysis of arithmetic information processing; Rosenberg-Lee et al, 2009 ; Hinault and Lemaire, 2016 ). A total of other 21 studies were excluded at this stage.…”

Section: Introductionmentioning

confidence: 99%

Stress, Time Pressure, Strategy Selection and Math Anxiety in Mathematics: A Review of the Literature

et al. 2017

View full text Add to dashboard Cite

We review how stress induction, time pressure manipulations and math anxiety can interfere with or modulate selection of problem-solving strategies (henceforth “strategy selection”) in arithmetical tasks. Nineteen relevant articles were identified, which contain references to strategy selection and time limit (or time manipulations), with some also discussing emotional aspects in mathematical outcomes. Few of these take cognitive processes such as working memory or executive functions into consideration. We conclude that due to the sparsity of available literature our questions can only be partially answered and currently there is not much evidence of clear associations. We identify major gaps in knowledge and raise a series of open questions to guide further research.

show abstract

What does EEG tell us about arithmetic strategies? A review

Cited by 52 publications

References 145 publications

Individual Differences in Math Ability Determine Neurocognitive Processing of Arithmetic Complexity: A Combined fNIRS-EEG Study

Individual Differences in Math Ability Determine Neurocognitive Processing of Arithmetic Complexity: A Combined fNIRS-EEG Study

The neural correlates of mental arithmetic in adolescents: a longitudinal fNIRS study

Stress, Time Pressure, Strategy Selection and Math Anxiety in Mathematics: A Review of the Literature

Contact Info

Product

Resources

About