Color-coded Maps
Color-coded Maps - Related Videos
04:01
Point of Care Transcranial Color-Coded Duplex Ultrasound of the Middle Cerebral Artery
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Cited by 3 •
2024
Transcranial ultrasound is an essential tool for monitoring patients with various neurological conditions. Although it is commonly used in a protocolized fashion in consultative studies, the brain has been overlooked in many protocols utilizing point-of-care ultrasound (PoCUS). This study proposes a PoCUS image acquisition protocol.
09:04
Guide Wire Assisted Catheterization and Colored Dye Injection for Vascular Mapping of Monochorionic Twin Placentas
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2011
Vascular mapping of monochorionic (MC) twin placentas after birth provides a means for detailed demonstration of vascular connections between the twins’ circulations. Imbalance of these connections is thought to play a pivotal role in the development of complications of MC twinning including twin-to-twin transfusion syndrome.
02:39
lncRNA - Long Non-coding RNAs
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2020
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA (lncRNA)...
10:59
New Methods to Study Gustatory Coding
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Cited by 1 •
2017
We present three new methods to study gustatory coding. Using a simple animal, the moth Manduca sexta (Manduca), we describe a dissection protocol, the use of extracellular tetrodes to record the activity of multiple gustatory receptor neurons, and a system for delivering and monitoring precisely timed pulses of tastants.
09:20
Color Afterimages
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Human color vision is impressive. People with normal color vision can tell apart millions of individual hues. Most amazingly, this ability is achieved with fairly simple hardware. Part of the power of human color vision comes from a clever bit of engineering in the human brain. There, color perception relies on what is known as an 'opponent system.' This means that the presence of one kind of stimulus is treated as evidence for...
FAQs
A color scale determines how measured values or categories appear visually, so its assignments directly shape how readers perceive regional differences. Researchers must connect each color to a defined value or class through a legend or equivalent reference. Consistent assignments make spatial gradients and patterns easier to compare, while unclear assignments can obscure the meaning of an observed color change.
Spatial gradients show how a measured feature changes across neighboring or distant regions rather than treating every location as equivalent. In neuroscience, this can reveal regional variation in neural activity, gene expression, tissue properties, or connection strength. The resulting pattern helps investigators compare anatomical areas and assess whether a feature is localized, distributed, or continuously changing.
Color assignments can represent discrete classes or ordered measurements, and these uses require different interpretations. A categorical map separates locations by group, whereas a magnitude-based map communicates relative or absolute levels across a scale. Identifying which type is being used prevents readers from treating category boundaries as numerical differences or interpreting graded values as unrelated classes.
Comparisons depend on applying defined color assignments consistently to the relevant measurements and spatial locations. When the same visual system is projected onto comparable anatomical images, cortical surfaces, or connectivity diagrams, regional patterns can be assessed across conditions. If assignments or spatial representations differ, apparent changes may reflect the mapping scheme rather than the underlying feature.
A typical workflow begins by selecting a measured feature, assigning each value or category to a defined color, and then projecting those assignments onto an anatomical image, cortical surface, or connectivity diagram. The completed display should preserve the relationship between color and measurement so viewers can identify location, magnitude, or class and compare spatial patterns.
The approach can represent several kinds of spatially organized information, including neural activity, gene expression, tissue properties, and connection strength. The underlying measurement determines what the colors mean, while the selected anatomical or connectivity representation determines where they appear. This flexibility allows one visual framework to support different brain-mapping questions without assuming that every map shows the same biological feature.
They are useful when complex spatial data need to be assessed or communicated clearly across brain regions. By displaying regional differences and spatial gradients on anatomical images, cortical surfaces, or connectivity diagrams, these maps help readers recognize patterns that may be difficult to interpret from measurements alone. They therefore support brain mapping, data assessment, and comparison of research findings.