Article (Scientific journals)
GABA concentration in posterior cingulate cortex predicts putamen response during resting state fMRI.
Arrubla Martinez, Jorge Andres; Tse, Desmond H. Y.; Amkreutz, Christin et al.
2014In PLoS ONE, 9 (9), p. 106609
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Keywords :
Resting State; Magnetic resonance spectroscopy
Abstract :
[en] 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.
Disciplines :
Neurology
Author, co-author :
Arrubla Martinez, Jorge Andres ;  Université de Liège - ULiège > Doct. sc. bioméd. & pharma. (Bologne)
Tse, Desmond H. Y.
Amkreutz, Christin
Neuner, Irene
Shah, N. Jon
Language :
English
Title :
GABA concentration in posterior cingulate cortex predicts putamen response during resting state fMRI.
Publication date :
2014
Journal title :
PLoS ONE
eISSN :
1932-6203
Publisher :
Public Library of Science, San Franscisco, United States - California
Volume :
9
Issue :
9
Pages :
e106609
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 07 February 2017

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