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Neurotransmitter levels predict math ability

Glutamate and GABA in the brain have reverse relationships with math ability, which switch during development

Neurotransmitter levels predict math ability
( The neurotransmitters GABA and glutamate have complementary roles -- GABA inhibits neurons, while glutamate makes them more active. Published 22nd July in PLOS Biology, researchers led by Roi Cohen Kadosh and George Zacharopoulos from the University of Oxford show that levels of these two neurotransmitters in the intraparietal sulcus of the brain can predict mathematics ability. The study also found that the relationships between the two neurotransmitters and arithmetic fluency switched as children developed into adults.

Levels of brain excitement/inhibition are thought to be related to learning, especially during critical periods. However, little is known about how they are related to complex learning that can take place over decades. To address this issue, the researchers measured the levels of GABA and glutamate in 255 people, ranging from 6-year-olds to university students. The participants also took two math achievement tests, and their performance on the arithmetic problems were correlated with the GABA and glutamate levels.

The team found that among young people, higher GABA levels in the left intraparietal sulcus of the brain (a fold in the top, left, back part of the brain) were associated with greater math fluency, while the reverse was true for glutamate. In adults, the results were almost exactly opposite; low GABA concentrations were related to greater math fluency, and again, the reverse was true for glutamate. Because the participants were tested twice about 1.5 years apart, the researchers were also able to show that neurotransmitter levels at the time of the first test could predict math achievement at the later date.

Much of what we know about GABA, glutamate, and learning comes from rodent experiments in the lab, which cannot say anything directly about natural school-based skills such as mathematics that develop over time. This longitudinal study in humans will help researchers better understand the relationship between learning and brain plasticity, particularly during critical periods that might span years.

Cohen Kadosh adds, "Our finding of developmental switches in the link between GABA and glutamate and academic achievement highlights a general, unknown principle of plasticity. In contrast to previous studies on humans or animals that focused on narrower developmental stages, our cross-sectional-longitudinal study suggests that the link between plasticity and brain excitation and inhibition across different stages is unlikely to be immutable. Our findings have also important implications for the development of brain-based interventional programs, which we hope to examine in the future."


In your coverage please use these URLs to provide access to the freely available articles in PLOS Biology:

Zacharopoulos G, Sella F, Cohen Kadosh K, Hartwright C, Emir U, Cohen Kadosh R (2021) Predicting learning and achievement using GABA and glutamate concentrations in human development. PLoS Biol 19(7): e3001325.

The Wellcome Centre for Integrative Neuroimaging is supported by core funding from the Wellcome Trust (203139/Z/16/Z, URL: This work was supported by the European Research Council (Learning&Achievement 338065, URL: (RCK). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing Interests:
The authors have declared that no competing interests exist.

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Neurotransmitter levels predict math ability


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[] Neurotransmitter levels predict math ability
Glutamate and GABA in the brain have reverse relationships with math ability, which switch during development