This title appears in the Scientific Report : 2014 

GABA Concentration in Posterior Cingulate Cortex Predicts Putamen Response during Resting State fMRI
Arrubla, Jorge
Tse, Desmond H. Y. / Amkreutz, Christin / Neuner, Irene / Shah, N. J.
Physik der Medizinischen Bildgebung; INM-4
JARA-BRAIN; JARA-BRAIN
PLoS one, 9 (2014) 9, S. e106609
Lawrence, Kan. PLoS 2014
25184505
10.1371/journal.pone.0106609
Journal Article
Neuroimaging
Imaging the Living Brain
OpenAccess
Please use the identifier: http://hdl.handle.net/2128/7990 in citations.
Please use the identifier: http://dx.doi.org/10.1371/journal.pone.0106609 in citations.
The role of neurotransmitters in the activity of resting state networks has been gaining attention and has become a field of research with magnetic resonance spectroscopy (MRS) being one of the key techniques. MRS permits the measurement of γ-aminobutyric acid (GABA) and glutamate levels, the central biochemical constituents of the excitation-inhibition balance in vivo. The inhibitory effects of GABA in the brain have been largely investigated in relation to the activity of resting state networks in functional magnetic resonance imaging (fMRI). In this study GABA concentration in the posterior cingulate cortex (PCC) was measured using single voxel spectra acquired with standard point resolved spectroscopy (PRESS) from 20 healthy male volunteers at 3 T. Resting state fMRI was consecutively measured and the values of GABA/Creatine+Phosphocreatine ratio (GABA ratio) were included in a general linear model matrix as a step of dual regression analysis in order to identify voxels whose neuroimaging metrics during rest were related to individual levels of the GABA ratio. Our data show that the connection strength of putamen to the default-mode network during resting state has a negative linear relationship with the GABA ratio measured in the PCC. These findings highlight the role of PCC and GABA in segregation of the motor input, which is an inherent condition that characterises resting state