Zacharopoulos_et_al_SciRep2021.pdf (1.96 MB)
The relation between parietal GABA concentration and numerical skills
journal contribution
posted on 2021-09-13, 08:01 authored by George Zacharopoulos, Francesco SellaFrancesco Sella, Uzay Emir, Roi Cohen KadoshSeveral scientific, engineering, and medical advancements are based on breakthroughs made by people who excel in mathematics. Our current understanding of the underlying brain networks stems primarily from anatomical and functional investigations, but our knowledge of how neurotransmitters subserve numerical skills, the building block of mathematics, is scarce. Using 1H magnetic resonance spectroscopy (N = 54, 3T, semi-LASER sequence, TE = 32 ms, TR = 3.5 s), the study examined the relation between numerical skills and the brain’s major inhibitory (GABA) and excitatory (glutamate) neurotransmitters. A negative association was found between the performance in a number sequences task and the resting concentration of GABA within the left intraparietal sulcus (IPS), a key region supporting numeracy. The relation between GABA in the IPS and number sequences was specific to (1) parietal but not frontal regions and to (2) GABA but not glutamate. It was additionally found that the resting functional connectivity of the left IPS and the left superior frontal gyrus was positively associated with number sequences performance. However, resting GABA concentration within the IPS explained number sequences performance above and beyond the resting frontoparietal connectivity measure. Our findings further motivate the study of inhibition mechanisms in the human brain and significantly contribute to our current understanding of numerical cognition's biological bases.
Funding
European Research Council (Learning&Achievement Grant 338065)
History
School
- Science
Department
- Mathematics Education Centre
Published in
Scientific ReportsVolume
11Issue
1Publisher
Springer NatureVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
This is an Open Access Article. It is published by Springer Nature under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/Acceptance date
2021-05-12Publication date
2021-09-03Copyright date
2021eISSN
2045-2322Publisher version
Language
- en