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Method to correlate 1H MRSI and 18FDG-PET
J O'Neill1, J L Eberling, N Schuff
1Magnetic Resonance Unit, Department of Veterans Affairs Medical Center, San Francisco, California 94121, USA.
Magnetic Resonance in Medicine
|February 19, 2000
Summary
This study reveals that human cerebral glucose metabolism linearly increases with neuron density in gray matter. This finding helps understand brain energy use in various neurological conditions.
Area of Science:
- Neuroscience
- Medical Imaging
- Biochemistry
Background:
- The neuronal contribution to human cerebral metabolic rate of glucose (CMRglc) is not fully understood.
- 18FDG-PET measures metabolic activity, but its direct link to neuron density requires clarification.
Purpose of the Study:
- To investigate the relationship between CMRglc and neuron density in human gray matter.
- To determine if N-acetyl aspartate (NAA) concentration, a neuronal marker, correlates with metabolic activity measured by PET.
Main Methods:
- Applied the Miller-Gartner algorithm to whole-brain 18FDG-PET data to isolate cortical gray matter metabolic activity (GMPET).
- Used proton MRSI to derive N-acetyl aspartate concentration in cortical gray matter (GMNAA).
- Analyzed the correlation between GMPET and GMNAA in 19 subjects (demented, cognitively impaired, controls).
Main Results:
- A significant linear regression (P < 0.05) was observed between GMPET and GMNAA in 18 of 19 subjects.
- Higher GMNAA values corresponded to higher GMPET values, indicating increased metabolic activity with greater neuron density.
- Demonstrated a linear relationship between CMRglc and neuron density in gray matter.
Conclusions:
- Cerebral metabolic rate of glucose (CMRglc) rises linearly with increasing neuron density in gray matter.
- This imaging approach can be utilized to explore CMRglc-neuron relationships in diverse neurological conditions.
- Provides a method to link neuronal density to brain metabolism in vivo.