Biophysical basis of brain activity: implications for neuroimaging

Abstract

1. Summary 2882. Introduction 2883. Relationship between neuroenergetics and neurotransmitter flux 2944. A model of coupling between neuroenergetics and neurotransmission 2965. Relationship between neuroenergetics and neural spiking frequency 2976. Comparison with previous electrophysiological and fMRI measurements 2987. Contributions of non-oxidative energetics to a primarily oxidative brain 2998. Possible explanation for non-oxidative energetics contributions 3009. A model of total neuronal activity to support cerebral function 30210. Implications for interpretation of fMRI studies 30511. The restless brain 30612. Acknowledgements 31013. Appendix A. CMR_{O2by¹³C-MRS 31014. Appendix B.Vcycand test of model 31315. Appendix C. CMRO2by calibrated BOLD 31616. Appendix D. Comparison of spiking activity of a neuronal ensemble with CMRO231817. References 320In vivo¹³C magnetic resonance spectroscopy (MRS) studies of the brain have quantitatively assessed rates of glutamate–glutamine cycle (Vcyc) and glucose oxidation (CMRGlc(ox)) by detecting ¹³C label turnover from glucose to glutamate and glutamine. Contrary to expectations from in vitro and ex vivo studies, the in vivo¹³C-MRS results demonstrate that glutamate recycling is a major metabolic pathway, inseparable from its actions of neurotransmission. Furthermore, both in the awake human and in the anesthetized rat brain, Vcyc and CMRGlc(ox) are stoichiometrically related, where more than two thirds of the energy from glucose oxidation supports events associated with glutamate neurotransmission. The high energy consumption of the brain measured at rest and its quantitative relation to neurotransmission reflects a sizeable activity level for the resting brain. The high activity of the non-stimulated brain, as measured by cerebral metabolic rate of oxygen use (CMRO2), establishes a new neurophysiological basis of cerebral function that leads to reinterpreting functional imaging data because the large baseline signal is commonly discarded in cognitive neuroscience paradigms. Changes in energy consumption (ΔCMRO2%) can also be obtained from magnetic resonance imaging (MRI) experiments, using the blood oxygen level- dependent (BOLD) image contrast, provided that all the separate parameters contributing to the functional MRI (fMRI) signal are measured. The BOLD-derived ΔCMRO2% when compared with alterations in neuronal spiking rate (Δν%) during sensory stimulation in the rat reveals a stoichiometric relationship, in good agreement with ¹³C-MRS results. Hence fMRI when calibrated so as to provide ΔCMRO2% can provide high spatial resolution evaluation of neuronal activity. Our studies of quantitative measurements of changes in neuroenergetics and neurotransmission reveal that a stimulus does not provoke an arbitrary amount of activity in a localized region, rather a total level of activity is required where the increment is inversely related to the level of activity in the non-stimulated condition. These biophysical experiments have established relationships between energy consumption and neuronal activity that provide novel insights into the nature of brain function and the interpretation of fMRI data.}