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Disconnection in a left-hemispheric temporo-parietal network impairs multiplication fact retrieval

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posted on 2023-02-20, 12:30 authored by S Smaczny, C Sperber, S Jung, Korbinian MoellerKorbinian Moeller, HO Karnath, E Klein
Arithmetic fact retrieval has been suggested to recruit a left-lateralized network comprising perisylvian language areas, parietal areas such as the angular gyrus (AG), and non-neocortical structures such as the hippocampus. However, the underlying white matter connectivity of these areas has not been evaluated systematically so far. Using simple multiplication problems, we evaluated how disconnections in parietal brain areas affected arithmetic fact retrieval following stroke. We derived disconnectivity measures by jointly considering data from n = 73 patients with acute unilateral lesions in either hemisphere and a white-matter tractography atlas (HCP-842) using the Lesion Quantification Toolbox (LQT). Whole-brain voxel-based analysis indicated a left-hemispheric cluster of white matter fibers connecting the AG and superior temporal areas to be associated with a fact retrieval deficit. Subsequent analyses of direct gray-to-gray matter disconnections revealed that disconnections of additional left-hemispheric areas (e.g., between the superior temporal gyrus and parietal areas) were significantly associated with the observed fact retrieval deficit. Results imply that disconnections of parietal areas (i.e., the AG) with language-related areas (i.e., superior and middle temporal gyri) seem specifically detrimental to arithmetic fact retrieval. This suggests that arithmetic fact retrieval recruits a widespread left-hemispheric network and emphasizes the relevance of white matter connectivity for number processing.

Funding

Deutsche Forschungsgemeinschaft (KL 2788/2-1 und KA 1258/24-1)

History

School

  • Science

Department

  • Mathematics Education Centre

Published in

NeuroImage

Volume

268

Publisher

Elsevier

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2022-12-25

Publication date

2023-01-05

Copyright date

2023

ISSN

1053-8119

eISSN

1095-9572

Language

  • en

Depositor

Prof Korbinian Moeller. Deposit date: 17 February 2023

Article number

119840

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