The left intraparietal sulcus adapts to symbolic number in both the visual and auditory modalities: Evidence from fMRI

2017 | journal article. A publication with affiliation to the University of Göttingen.

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​The left intraparietal sulcus adapts to symbolic number in both the visual and auditory modalities: Evidence from fMRI​
Vogel, S. E.; Goffin, C.; Bohnenberger, J.; Koschutnig, K.; Reishofer, G.; Grabner, R. H. & Ansari, D.​ (2017) 
NeuroImage153 pp. 16​-27​.​ DOI: https://doi.org/10.1016/j.neuroimage.2017.03.048 

Documents & Media

License

GRO License GRO License

Details

Authors
Vogel, Stephan E.; Goffin, Celia; Bohnenberger, Joshua; Koschutnig, Karl; Reishofer, Gernot; Grabner, Roland H.; Ansari, Daniel
Abstract
A growing body of evidence from functional Magnetic Resonance Imaging adaptation (fMRIa) has implicated the left intraparietal sulcus (IPS) as a crucial brain region representing the semantic of number symbols. However, it is currently unknown to what extent the left IPS brain activity can be generalized across modalities (e.g., Arabic digits and spoken number words) and how robust and reproducible numerical adaptation effects are. In two separate fMRIa experiments we habituated the brain response of 20 native English-speaking (Experiment 1) and 34 native German-speaking (Experiment 2) adults to Arabic digits or spoken number words. Consistent with previous findings, experiment 1 revealed numerical ratio dependent adaptation to Arabic numerals in the left IPS using both conventional and cortex-based alignment techniques. Experiment 2 revealed numerical ratio dependent signal recovery in the left IPS following adaptation to both Arabic numerals and spoken number words using both conventional and cortex-based alignment techniques. Together, these findings suggest that the left IPS is involved in symbolic number processing across modalities.
Issue Date
2017
Status
published
Publisher
Academic Press Inc Elsevier Science
Journal
NeuroImage 
ISSN
1095-9572; 1053-8119

Reference

Citations


Social Media