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Hippocampal GABA levels correlate with retrieval performance in an associative learning paradigm

Authors :
Benjamin Spurny
Rene Seiger
Philipp Moser
Thomas Vanicek
Murray B. Reed
Eva Heckova
Paul Michenthaler
Alim Basaran
Gregor Gryglewski
Manfred Klöbl
Siegfried Trattnig
Siegfried Kasper
Wolfgang Bogner
Rupert Lanzenberger
Source :
NeuroImage, Vol 204, Iss , Pp 116244- (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

Neural plasticity is a complex process dependent on neurochemical underpinnings. Next to the glutamatergic system which contributes to memory formation via long-term potentiation (LTP) and long-term depression (LTD), the main inhibitory neurotransmitter, GABA is crucially involved in neuroplastic processes. Hence, we investigated changes in glutamate and GABA levels in the brain in healthy participants performing an associative learning paradigm.Twenty healthy participants (10 female, 25 ± 5 years) underwent paired multi-voxel magnetic resonance spectroscopy imaging before and after completing 21 days of a facial associative learning paradigm in a longitudinal study design. Changes of GABA and glutamate were compared to retrieval success in the hippocampus, insula and thalamus.No changes in GABA and glutamate concentration were found after 21 days of associative learning. However, baseline hippocampal GABA levels were significantly correlated with initial retrieval success (pcor = 0.013, r = 0.690). In contrast to the thalamus and insula (pcor>0.1), higher baseline GABA levels in the hippocampus were associated with better retrieval performance in an associative learning paradigm.Therefore, our findings support the importance of hippocampal GABA levels in memory formation in the human brain in vivo.

Details

Language :
English
ISSN :
10959572
Volume :
204
Issue :
116244-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.f4c81a6b2d604f07807c73d37ca26b21
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2019.116244