Smaczny, S; Sperber, C; Jung, S; Moeller, K; Karnath, H-O; Klein, E (2023). Disconnection in a left-hemispheric temporo-parietal network impairs multiplication fact retrieval. NeuroImage, 268, p. 119840. Elsevier 10.1016/j.neuroimage.2022.119840
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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 grey-to-grey 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.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology |
UniBE Contributor: |
Sperber, Christoph Michael |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1095-9572 |
Publisher: |
Elsevier |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
12 Jan 2023 11:21 |
Last Modified: |
10 Feb 2023 00:15 |
Publisher DOI: |
10.1016/j.neuroimage.2022.119840 |
PubMed ID: |
36621582 |
Uncontrolled Keywords: |
Arithmetic Fact Retrieval Connectivity Disconnectome Lesion Mapping VLSM |
BORIS DOI: |
10.48350/177117 |
URI: |
https://boris.unibe.ch/id/eprint/177117 |
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