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The trajectory of cortical GABA across the lifespan, an individual participant data meta-analysis of edited MRS studies.
- Source :
-
ELife [Elife] 2021 Jun 01; Vol. 10. Date of Electronic Publication: 2021 Jun 01. - Publication Year :
- 2021
-
Abstract
- γ-Aminobutyric acid (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, eight suitable datasets were integrated to generate a model of the trajectory of frontal GABA estimates (as reported through edited MRS; both expressed as ratios and in institutional units) 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 that an asymmetric lifespan trajectory of frontal GABA measures involves an early period of 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.<br />Competing Interests: EP, GJ, BF, RE, NP No competing interests declared<br /> (© 2021, Porges et al.)
- Subjects :
- Adolescent
Adult
Age Factors
Aged
Aged, 80 and over
Bayes Theorem
Cerebral Cortex cytology
Child
Child, Preschool
Female
Humans
Infant
Infant, Newborn
Male
Middle Aged
Neural Inhibition
Young Adult
Aging metabolism
Cerebral Cortex metabolism
GABAergic Neurons metabolism
Longevity
Magnetic Resonance Spectroscopy
gamma-Aminobutyric Acid metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 2050-084X
- Volume :
- 10
- Database :
- MEDLINE
- Journal :
- ELife
- Publication Type :
- Academic Journal
- Accession number :
- 34061022
- Full Text :
- https://doi.org/10.7554/eLife.62575