Cerebral Metabolism Index
Cerebral Metabolism Index - Related Videos
11:39
Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants
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Cited by 48 •
2013
We combined frequency-domain near-infrared spectroscopy measures of cerebral hemoglobin oxygenation with diffuse correlation spectroscopy measures of cerebral blood flow index to estimate an index of oxygen metabolism. We tested the utility of this measure as a bedside screening tool to evaluate the health and development of the newborn brain.
05:41
Metabolic Profile Analysis of Zebrafish Embryos
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Cited by 42 •
2013
Zebrafish represent a powerful vertebrate model that has been under-utilised for metabolic studies. Here we describe a rapid way to measure the in vivo metabolic profile of developing zebrafish that allows the comparison of different mitochondrial function parameters between genetically or pharmacologically manipulated embryos, thereby increasing the applicability of this organism.
10:19
An Introduction to Cell Metabolism
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2023
In cells, critical molecules are either built by joining together individual units like amino acids or nucleotides, or broken down into smaller components. Respectively, the reactions responsible for this are referred to as anabolic and catabolic. These reactions require or produce energy typically in the form of a “high-energy” molecule called ATP. Together, these processes make up “Cell Metabolism,” and are hallmarks of healthy, living cells.JoVE’s introduction to cell metabolism briefly...
06:15
Evaluation of Bioenergetic Function in Cerebral Vascular Endothelial Cells
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Cited by 10 •
2016
Endothelial cell mitochondria are critical to maintain blood-brain-barrier integrity. We introduce a protocol to measure bioenergetic function in cerebral vascular endothelial cells.
08:28
Metabolic Labeling
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2023
Metabolic labeling is used to probe the biochemical transformations and modifications that occur in a cell. This is accomplished by using chemical analogs that mimic the structure of natural biomolecules. Cells utilize analogs in their endogenous biochemical processes, producing compounds that are labeled. The label allows for the incorporation of detection and affinity tags, which can then be used to elucidate metabolic pathways using other biochemical analytical techniques, such as SDS-PAGE...
FAQs
The index may be derived from physiological or neuroimaging measurements of glucose uptake, oxygen consumption, or cerebral blood flow. These variables reflect different aspects of how brain tissue uses or receives energy. Depending on the study design, one measurement or a combination may be summarized and normalized to support comparisons among individuals or brain regions.
Normalization places metabolic measurements on a comparable basis, reducing the difficulty of interpreting differences caused by the scale of the original data. It can support comparisons between individuals and between brain regions, making patterns easier to characterize. Without a consistent reference, apparent differences may be harder to evaluate across subjects or anatomical areas.
Structural imaging describes brain anatomy, whereas metabolic measurements provide information about physiological activity. Examining both can help distinguish changes in tissue structure from altered energy use or blood flow. This complementary perspective may improve characterization of neurological and metabolic disorders, particularly when functional changes provide information that anatomy alone does not capture.
Researchers first obtain physiological or neuroimaging measurements related to glucose uptake, oxygen consumption, or cerebral blood flow. They then summarize the relevant metabolic information and may normalize the resulting values for comparison across people or brain regions. The final index can serve as a quantitative outcome for analyzing brain physiology or disease-related changes.
Its medical applications include assessing altered brain function in neurological and metabolic disorders and complementing structural imaging findings. In research, the measure can support studies of disease progression, treatment response, and normal brain physiology. Its value lies in providing a quantitative outcome that can be compared across regions, individuals, or study conditions.
The index can be used to characterize differences in brain metabolic activity associated with disease-related conditions and to track outcomes relevant to progression or treatment response. Because values may be normalized, investigators can compare patterns across individuals or brain regions. These comparisons help connect physiological measurements with broader changes in brain function.