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The trajectory of cortical GABA levels across the lifespan: An individual participant data meta-analysis of edited MRS studies

View ORCID ProfileEric C. Porges, View ORCID ProfileGreg Jensen, Brent Foster, Richard A. E. Edden, View ORCID ProfileNicolaas A. J. Puts
doi: https://doi.org/10.1101/2020.07.23.218792
Eric C. Porges
1Center for Cognitive Aging and Memory, University of Florida, USA
2McKnight Brain Research Foundation, University of Florida, USA
3Dept. of Clinical and Health Psychology, University of Florida, USA
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  • For correspondence: eporges@phhp.ufl.edu
Greg Jensen
4Dept. of Neuroscience, Columbia University, USA
5Zuckerman Mind Brain Behavior Institute, Columbia University, USA
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Brent Foster
1Center for Cognitive Aging and Memory, University of Florida, USA
2McKnight Brain Research Foundation, University of Florida, USA
3Dept. of Clinical and Health Psychology, University of Florida, USA
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Richard A. E. Edden
6Russel H. Morgan Dept. of Radiology and Radiological Science, Johns Hopkins University School of Medicine, USA
7F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, USA
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Nicolaas A. J. Puts
6Russel H. Morgan Dept. of Radiology and Radiological Science, Johns Hopkins University School of Medicine, USA
7F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, USA
8Dept. of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neuro development, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, UK
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ABSTRACT

GABA is the principal inhibitory neurotransmitter in the human brain and can be measured with Magnetic Resonance Spectroscopy (MRS). Conflicting accounts report decreases and increases in cortical GABA levels across the lifespan. This incompatibility may be an artifact of the size and age-range of the samples utilized in these studies. No single study to date has included the entire lifespan. In this study, 8 suitable datasets were integrated to generate a model of the trajectory of GABA across the lifespan. Data were fit using both a log-normal curve and a nonparametric spline as regression models using a multi-level Bayesian model utilizing the Stan language. Integrated data show the lifespan trajectory of GABA involves an early period of rapid increase, followed by a period of stability during early adulthood, with a gradual decrease during adulthood and aging that is described well by both spline and log-normal models. The information gained will provide a general framework to inform expectations of future studies based on the age of the population being studied.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://osf.io/rmhwc/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 24, 2020.
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The trajectory of cortical GABA levels across the lifespan: An individual participant data meta-analysis of edited MRS studies
Eric C. Porges, Greg Jensen, Brent Foster, Richard A. E. Edden, Nicolaas A. J. Puts
bioRxiv 2020.07.23.218792; doi: https://doi.org/10.1101/2020.07.23.218792
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The trajectory of cortical GABA levels across the lifespan: An individual participant data meta-analysis of edited MRS studies
Eric C. Porges, Greg Jensen, Brent Foster, Richard A. E. Edden, Nicolaas A. J. Puts
bioRxiv 2020.07.23.218792; doi: https://doi.org/10.1101/2020.07.23.218792

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