Literature DB >> 27220781

What does EEG tell us about arithmetic strategies? A review.

Thomas Hinault1, Patrick Lemaire2.   

Abstract

Arithmetic strategies refer to the set of procedures used to solve arithmetic problems. Previous studies revealed that participants can solve arithmetic problems by using several arithmetic strategies. In this review, we discuss the added value of using electroencephalography (EEG) to investigate such strategies. Indeed, this technique enables to delineate different aspects of information processing, and can further our understanding of arithmetic strategies. The investigation of processes involved within arithmetic strategies with event-related potentials (ERPs) and frequency analyses allows to discover how participants solve different types of problems by enabling to distinguish arithmetic strategies on the bases of their electrophysiological signatures. Moreover, this technique is fruitful to investigate the time course of arithmetic strategy selection and execution. EEG can also help to investigate the role of general cognitive processes during execution of arithmetic strategies. Finally, EEG is also a powerful tool to specify how strategy use differs between groups of different skills or ages. Overall, by addressing these ends, EEG further our understanding of variations in participants' arithmetic performance as a function of different characteristics, such as participants' (e.g., age, skills), problems' (e.g., problem or split size, rule violation), or situations' (e.g., strategy execution on previous problems, correctness of proposed answers) characteristics.

Entities:  

Keywords:  Arithmetic; Arithmetic fact retrieval; EEG; Mathematical cognition; Strategy

Mesh:

Year:  2016        PMID: 27220781     DOI: 10.1016/j.ijpsycho.2016.05.006

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  13 in total

Review 1.  Multiple functions of the angular gyrus at high temporal resolution.

Authors:  Mohamed L Seghier
Journal:  Brain Struct Funct       Date:  2022-06-08       Impact factor: 3.270

2.  EEG based functional brain networks analysis in dyslexic children during arithmetic task.

Authors:  N P Guhan Seshadri; B Geethanjali; Bikesh Kumar Singh
Journal:  Cogn Neurodyn       Date:  2022-01-27       Impact factor: 3.473

3.  Spatio-temporal patterns of cognitive control revealed with simultaneous electroencephalography and functional magnetic resonance imaging.

Authors:  Thomas Hinault; Kevin Larcher; Natalja Zazubovits; Jean Gotman; Alain Dagher
Journal:  Hum Brain Mapp       Date:  2018-09-26       Impact factor: 5.038

Review 4.  Stress, Time Pressure, Strategy Selection and Math Anxiety in Mathematics: A Review of the Literature.

Authors:  Sara Caviola; Emma Carey; Irene C Mammarella; Denes Szucs
Journal:  Front Psychol       Date:  2017-09-01

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

Authors:  Christina Artemenko; Mojtaba Soltanlou; Ann-Christine Ehlis; Hans-Christoph Nuerk; Thomas Dresler
Journal:  Behav Brain Funct       Date:  2018-03-10       Impact factor: 3.759

6.  Functional localization and effective connectivity of cortical theta and alpha oscillatory activity during an attention task.

Authors:  Yuichi Kitaura; Keiichiro Nishida; Masafumi Yoshimura; Hiroshi Mii; Koji Katsura; Satsuki Ueda; Shunichiro Ikeda; Roberto D Pascual-Marqui; Ryouhei Ishii; Toshihiko Kinoshita
Journal:  Clin Neurophysiol Pract       Date:  2017-10-14

7.  Arithmetic processing in children with dyscalculia: an event-related potential study.

Authors:  Sonia Y Cárdenas; Juan Silva-Pereyra; Belén Prieto-Corona; Susana A Castro-Chavira; Thalía Fernández
Journal:  PeerJ       Date:  2021-01-27       Impact factor: 2.984

8.  Validity of the Polar V800 Monitor for Assessing Heart Rate Variability in Elderly Adults under Mental Stress and Dual Task Conditions.

Authors:  Chang-Jing Huang; Hsiao-Lung Chan; Ya-Ju Chang; Shu-Mei Chen; Miao-Ju Hsu
Journal:  Int J Environ Res Public Health       Date:  2021-01-20       Impact factor: 3.390

9.  Oscillatory electroencephalographic patterns of arithmetic problem solving in fourth graders.

Authors:  Nikolaus A Koren; Judith Scheucher; Clemens Brunner; Jochen A Mosbacher; Bert De Smedt; Roland H Grabner; Stephan E Vogel
Journal:  Sci Rep       Date:  2021-12-02       Impact factor: 4.379

10.  Reduction but no shift in brain activation after arithmetic learning in children: A simultaneous fNIRS-EEG study.

Authors:  Mojtaba Soltanlou; Christina Artemenko; Ann-Christine Ehlis; Stefan Huber; Andreas J Fallgatter; Thomas Dresler; Hans-Christoph Nuerk
Journal:  Sci Rep       Date:  2018-01-26       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.