Predicting learning and achievement using GABA and glutamate concentrations in human development.

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 lea...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	George Zacharopoulos, Francesco Sella, Kathrin Cohen Kadosh, Charlotte Hartwright, Uzay Emir, Roi Cohen Kadosh
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/f5d87b468602446f84ef6b38b040c41d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f5d87b468602446f84ef6b38b040c41d
record_format	dspace
spelling	oai:doaj.org-article:f5d87b468602446f84ef6b38b040c41d2021-12-02T19:54:22ZPredicting learning and achievement using GABA and glutamate concentrations in human development.1544-91731545-788510.1371/journal.pbio.3001325https://doaj.org/article/f5d87b468602446f84ef6b38b040c41d2021-07-01T00:00:00Zhttps://doi.org/10.1371/journal.pbio.3001325https://doaj.org/toc/1544-9173https://doaj.org/toc/1545-7885Previous 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.George ZacharopoulosFrancesco SellaKathrin Cohen KadoshCharlotte HartwrightUzay EmirRoi Cohen KadoshPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Biology, Vol 19, Iss 7, p e3001325 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 George Zacharopoulos Francesco Sella Kathrin Cohen Kadosh Charlotte Hartwright Uzay Emir Roi Cohen Kadosh Predicting learning and achievement using GABA and glutamate concentrations in human development.
description	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.
format	article
author	George Zacharopoulos Francesco Sella Kathrin Cohen Kadosh Charlotte Hartwright Uzay Emir Roi Cohen Kadosh
author_facet	George Zacharopoulos Francesco Sella Kathrin Cohen Kadosh Charlotte Hartwright Uzay Emir Roi Cohen Kadosh
author_sort	George Zacharopoulos
title	Predicting learning and achievement using GABA and glutamate concentrations in human development.
title_short	Predicting learning and achievement using GABA and glutamate concentrations in human development.
title_full	Predicting learning and achievement using GABA and glutamate concentrations in human development.
title_fullStr	Predicting learning and achievement using GABA and glutamate concentrations in human development.
title_full_unstemmed	Predicting learning and achievement using GABA and glutamate concentrations in human development.
title_sort	predicting learning and achievement using gaba and glutamate concentrations in human development.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/f5d87b468602446f84ef6b38b040c41d
work_keys_str_mv	AT georgezacharopoulos predictinglearningandachievementusinggabaandglutamateconcentrationsinhumandevelopment AT francescosella predictinglearningandachievementusinggabaandglutamateconcentrationsinhumandevelopment AT kathrincohenkadosh predictinglearningandachievementusinggabaandglutamateconcentrationsinhumandevelopment AT charlottehartwright predictinglearningandachievementusinggabaandglutamateconcentrationsinhumandevelopment AT uzayemir predictinglearningandachievementusinggabaandglutamateconcentrationsinhumandevelopment AT roicohenkadosh predictinglearningandachievementusinggabaandglutamateconcentrationsinhumandevelopment
_version_	1718375939332636672

Predicting learning and achievement using GABA and glutamate concentrations in human development.

Ejemplares similares