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Predicting learning and achievement using GABA and glutamate concentrations in human development
Author(s) -
George Zacharopoulos,
Francesco Sella,
Kathrin Cohen Kadosh,
Charlotte Hartwright,
Uzay E. Emir,
Roi Cohen Kadosh
Publication year - 2021
Publication title -
plos biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.127
H-Index - 271
eISSN - 1545-7885
pISSN - 1544-9173
DOI - 10.1371/journal.pbio.3001325
Subject(s) - biology , glutamate receptor , neuroscience , plasticity , intraparietal sulcus , gabaergic , gamma aminobutyric acid , neuroplasticity , biochemistry , inhibitory postsynaptic potential , physics , receptor , posterior parietal cortex , thermodynamics
Previous research has highlighted the role of glutamate and gamma-aminobutyric acid (GABA) in learning and plasticity. What is currently unknown is how this knowledge translates to real-life complex cognitive abilities that emerge slowly and how the link between these neurotransmitters and human learning and plasticity is shaped by development. While some have suggested a generic role of glutamate and GABA in learning and plasticity, others have hypothesized that their involvement shapes sensitive periods during development. Here we used a cross-sectional longitudinal design with 255 individuals (spanning primary school to university) to show that glutamate and GABA in the intraparietal sulcus explain unique variance both in current and future mathematical achievement (approximately 1.5 years). Furthermore, our findings reveal a dynamic and dissociable role of GABA and glutamate in predicting learning, which is reversed during development, and therefore provide novel implications for models of learning and plasticity during childhood and adulthood.

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