High-Resolution Neurometabolic Coupling in the Lateral Geniculate Nucleus

• Published in: The Journal of neuroscience Vol. 27; no. 38; pp. 10223 - 10229
• Main Authors: Li, Baowang, Freeman, Ralph D
• Format: Journal Article
• Language: English
• Published: United States Soc Neuroscience 19.09.2007; Society for Neuroscience
• Subjects: Action Potentials - physiology; Animals; Cats; Energy Metabolism - physiology; Geniculate Bodies - metabolism; Neurons - metabolism; Photic Stimulation - methods; Time Factors; Visual Pathways - metabolism
• ISSN: 0270-6474; 1529-2401; 1529-2401
• DOI: 10.1523/JNEUROSCI.1505-07.2007

The relationships between neural and metabolic processes in activated brain regions are central to the interpretation of noninvasive imaging. To examine this relationship, we have used a specialized sensor to measure simultaneously tissue oxygen changes and neural activity in colocalized regions of the cat's lateral geniculate nucleus (LGN). Previous work with this sensor has shown that a decrease or increase in tissue oxygen can be elicited by selective control of the location and extent of neural activation in the LGN. In the current study, to evaluate the temporal integration and homogeneity of neurometabolic coupling, we have determined the relationship between multiunit extracellular neural activity and tissue oxygen responses to visual stimuli of various durations and contrasts. Our results show that the negative but not the positive oxygen response changes in an approximately linear manner with stimulus duration. The relationship between the negative oxygen response and neural activity is relatively constant with stimulus duration. Moreover, both negative and positive oxygen responses saturate at high stimulus contrast levels. Coupling between neural activity and negative oxygen responses is well described by a power law function. These results help elucidate differences between the initial negative and subsequent positive metabolic responses and may be directly relevant to questions concerning brain mapping with functional magnetic resonance imaging.