Structural and neurochemical correlates of individual differences in gamma frequency oscillations in human visual cortex. Issue 4 (October 2015)

• Record Type: Journal Article
• Authors: Robson, Siân E.; Muthukumarawswamy, Suresh D.; John Evans, C.; Shaw, Alexander; Brealy, Jennifer; Davis, Brittany; McNamara, Grainne; Perry, Gavin; Singh, Krish D.
• Is Part Of: Journal of anatomy. Volume 227:Issue 4(2015:Oct.)
• Page Start: 409
• Page End: 417
• Publication Date: 2015-10
• Subjects: Anatomy -- Periodicals; 571.3
• DOI: 10.1111/joa.12339
• Languages: English
• ISSNs: 0021-8782

Abstract

<abstract abstract-type="main" id="joa12339-abs-0001"> <title>Abstract</title> <p>Neuronal oscillations in the gamma frequency range play an important role in stimulus processing in the brain. The frequency of these oscillations can vary widely between participants and is strongly genetically determined, but the cause of this variability is not understood. Previous studies have reported correlations between individual differences in gamma frequency and the concentration of the inhibitory neurotransmitter, gamma‐aminobutyric acid (GABA), as well as with age and primary visual cortex (V1) area and thickness. This study assessed the relationships between all of these variables in the same group of participants. There were no significant correlations between gamma frequency and GABA+ concentration, V1 area or V1 thickness, although the relationship with GABA+/Cr approached significance. Considering age as a covariate further reduced the strength of all correlations and, in an additional dataset with a larger age range, gamma frequency was strongly inversely correlated with age but not V1 thickness or area, suggesting that age modulates gamma frequency via an additional, as yet unknown, mechanism. Consistent with other recent studies, these findings do not demonstrate a clear relationship between gamma frequency and GABA+ concentration. Further investigation of additional variables and the interactions between them will be necessary in order to more accurately determine predictors of the frequency of gamma oscillations.</p> </abstract>