期刊
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
卷 35, 期 4, 页码 601-610出版社
SAGE PUBLICATIONS INC
DOI: 10.1038/jcbfm.2014.233
关键词
Functional Spectroscopy; GABA quantification; Neurochemistry; Visual Stimulation
资金
- CEITEC from the European Regional Development Fund [CZ.1.05/1.1.00/02.0068]
- National Center for Advancing Translational Sciences of the National Institutes of Health Award [UL1TR000114]
- [NIH 1R03NS082541]
- [NIH P41 RR008079]
- [P41 EB015894]
- [P30 NS076408]
Several laboratories have consistently reported small concentration changes in lactate, glutamate, aspartate, and glucose in the human cortex during prolonged stimuli. However, whether such changes correlate with blood oxygenation level-dependent functional magnetic resonance imaging (BOLD-fMRI) signals have not been determined. The present study aimed at characterizing the relationship between metabolite concentrations and BOLD-fMRI signals during a block-designed paradigm of visual stimulation. Functional magnetic resonance spectroscopy (fMRS) and fMRI data were acquired from 12 volunteers. A short echo-time semiLASER localization sequence optimized for 7 Tesla was used to achieve full signal-intensity MRS data. The group analysis confirmed that during stimulation lactate and glutamate increased by 0.26 +/- 0.06 mu mol/g (similar to 30%) and 0.28 +/- 0.03 mu mol/g (similar to 3%), respectively, while aspartate and glucose decreased by 0.20 +/- 0.04 mu mol/g (similar to 5%) and 0.19 +/- 0.03 mu mol/g (similar to 16%), respectively. The single-subject analysis revealed that BOLD-fMRI signals were positively correlated with glutamate and lactate concentration changes. The results show a linear relationship between metabolic and BOLD responses in the presence of strong excitatory sensory inputs, and support the notion that increased functional energy demands are sustained by oxidative metabolism. In addition, BOLD signals were inversely correlated with baseline.-aminobutyric acid concentration. Finally, we discussed the critical importance of taking into account linewidth effects on metabolite quantification in fMRS paradigms.
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