Literature DB >> 25446952

Drawing connections between white matter and numerical and mathematical cognition: a literature review.

Anna A Matejko1, Daniel Ansari2.   

Abstract

In this review we examine white matter tracts that may support numerical and mathematical abilities and whether abnormalities in these pathways are associated with deficits in numerical and mathematical abilities. Diffusion tensor imaging (DTI) yields indices of white matter integrity and can provide information about the axonal organization of the brain. A growing body of research is using DTI to investigate how individual differences in brain microstructures relate to different numerical and mathematical abilities. Several tracts have been associated with numerical and mathematical abilities such as the superior longitudinal fasciculus, the posterior segment of the corpus callosum, inferior longitudinal fasciculus, corona radiata, and the corticospinal tract. Impairments in mathematics tend to be associated with atypical white matter structures within similar regions, especially in inferior parietal and temporal tracts. This systematic review summarizes and critically examines the current literature on white matter correlates of numerical and mathematical abilities, and provides directions for future research.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Arithmetic; Diffusion tensor imaging (DTI); Mathematical cognition; Numerical cognition; Review; White matter

Mesh:

Year:  2014        PMID: 25446952     DOI: 10.1016/j.neubiorev.2014.11.006

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  16 in total

1.  Mapping human temporal and parietal neuronal population activity and functional coupling during mathematical cognition.

Authors:  Amy L Daitch; Brett L Foster; Jessica Schrouff; Vinitha Rangarajan; Itır Kaşikçi; Sandra Gattas; Josef Parvizi
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-07       Impact factor: 11.205

2.  Origins of the brain networks for advanced mathematics in expert mathematicians.

Authors:  Marie Amalric; Stanislas Dehaene
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-11       Impact factor: 11.205

Review 3.  Neuropsychology of Learning Disabilities: The Past and the Future.

Authors:  Jack M Fletcher; Elena L Grigorenko
Journal:  J Int Neuropsychol Soc       Date:  2017-10       Impact factor: 2.892

4.  Introduction: The origins of numerical abilities.

Authors:  Brian Butterworth; C R Gallistel; Giorgio Vallortigara
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-02-19       Impact factor: 6.237

5.  Individual differences in children's global motion sensitivity correlate with TBSS-based measures of the superior longitudinal fasciculus.

Authors:  Oliver Braddick; Janette Atkinson; Natacha Akshoomoff; Erik Newman; Lauren B Curley; Marybel Robledo Gonzalez; Timothy Brown; Anders Dale; Terry Jernigan
Journal:  Vision Res       Date:  2016-12-16       Impact factor: 1.886

Review 6.  White matter and cognition: making the connection.

Authors:  Christopher M Filley; R Douglas Fields
Journal:  J Neurophysiol       Date:  2016-08-10       Impact factor: 2.714

7.  Emerging neurodevelopmental perspectives on mathematical learning.

Authors:  Vinod Menon; Hyesang Chang
Journal:  Dev Rev       Date:  2021-05-03

Review 8.  A review on functional and structural brain connectivity in numerical cognition.

Authors:  Korbinian Moeller; Klaus Willmes; Elise Klein
Journal:  Front Hum Neurosci       Date:  2015-05-13       Impact factor: 3.169

9.  What Is Specific and What Is Shared Between Numbers and Words?

Authors:  Júlia B Lopes-Silva; Ricardo Moura; Annelise Júlio-Costa; Guilherme Wood; Jerusa F Salles; Vitor G Haase
Journal:  Front Psychol       Date:  2016-02-02

10.  No evidence for systematic white matter correlates of dyslexia and dyscalculia.

Authors:  David Moreau; Anna J Wilson; Nicole S McKay; Kasey Nihill; Karen E Waldie
Journal:  Neuroimage Clin       Date:  2018-02-05       Impact factor: 4.881

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