Literature DB >> 15808984

Learning by strategies and learning by drill--evidence from an fMRI study.

M Delazer1, A Ischebeck, F Domahs, L Zamarian, F Koppelstaetter, C M Siedentopf, L Kaufmann, T Benke, S Felber.   

Abstract

The present fMRI study investigates, first, whether learning new arithmetic operations is reflected by changing cerebral activation patterns, and second, whether different learning methods lead to differential modifications of brain activation. In a controlled design, subjects were trained over a week on two new complex arithmetic operations, one operation trained by the application of back-up strategies, i.e., a sequence of arithmetic operations, the other by drill, i.e., by learning the association between the operands and the result. In the following fMRI session, new untrained items, items trained by strategy and items trained by drill, were assessed using an event-related design. Untrained items as compared to trained showed large bilateral parietal activations, with the focus of activation along the right intraparietal sulcus. Further foci of activation were found in both inferior frontal gyri. The reverse contrast, trained vs. untrained, showed a more focused activation pattern with activation in both angular gyri. As suggested by the specific activation patterns, newly acquired expertise was implemented in previously existing networks of arithmetic processing and memory. Comparisons between drill and strategy conditions suggest that successful retrieval was associated with different brain activation patterns reflecting the underlying learning methods. While the drill condition more strongly activated medial parietal regions extending to the left angular gyrus, the strategy condition was associated to the activation of the precuneus which may be accounted for by visual imagery in memory retrieval.

Entities:  

Mesh:

Year:  2005        PMID: 15808984     DOI: 10.1016/j.neuroimage.2004.12.009

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  53 in total

1.  Effective connectivity of the multiplication network: a functional MRI and multivariate Granger Causality Mapping study.

Authors:  Frank Krueger; Steffen Landgraf; Elke van der Meer; Gopikrishna Deshpande; Xiaoping Hu
Journal:  Hum Brain Mapp       Date:  2010-08-16       Impact factor: 5.038

2.  Developmental cognitive neuroscience of arithmetic: implications for learning and education.

Authors:  Vinod Menon
Journal:  ZDM       Date:  2010-10

3.  Practice effects on strategy selection and strategy efficiency in simple mental arithmetic.

Authors:  Ineke Imbo; André Vandierendonck
Journal:  Psychol Res       Date:  2007-09-29

4.  Fact learning in complex arithmetic and figural-spatial tasks: the role of the angular gyrus and its relation to mathematical competence.

Authors:  Roland H Grabner; Anja Ischebeck; Gernot Reishofer; Karl Koschutnig; Margarete Delazer; Franz Ebner; Christa Neuper
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

5.  Brain mechanisms of valuable scientific problem finding inspired by heuristic knowledge.

Authors:  Tong Dandan; Li Wenfu; Dai Tianen; Howard C Nusbaum; Qiu Jiang; Zhang Qinglin
Journal:  Exp Brain Res       Date:  2013-05-29       Impact factor: 1.972

6.  How does a child solve 7 + 8? Decoding brain activity patterns associated with counting and retrieval strategies.

Authors:  Soohyun Cho; Srikanth Ryali; David C Geary; Vinod Menon
Journal:  Dev Sci       Date:  2011-04-25

7.  Representational gain in cortical area underlies increase of memory strength.

Authors:  Kasia M Bieszczad; Norman M Weinberger
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-04       Impact factor: 11.205

8.  Increased arithmetic complexity is associated with domain-general but not domain-specific magnitude processing in children: A simultaneous fNIRS-EEG study.

Authors:  Mojtaba Soltanlou; Christina Artemenko; Thomas Dresler; Florian B Haeussinger; Andreas J Fallgatter; Ann-Christine Ehlis; Hans-Christoph Nuerk
Journal:  Cogn Affect Behav Neurosci       Date:  2017-08       Impact factor: 3.282

9.  Neural predictors of individual differences in response to math tutoring in primary-grade school children.

Authors:  Kaustubh Supekar; Anna G Swigart; Caitlin Tenison; Dietsje D Jolles; Miriam Rosenberg-Lee; Lynn Fuchs; Vinod Menon
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-29       Impact factor: 11.205

10.  Nonsymbolic number and cumulative area representations contribute shared and unique variance to symbolic math competence.

Authors:  Stella F Lourenco; Justin W Bonny; Edmund P Fernandez; Sonia Rao
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-22       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.