Circuit Biomarkers
Circuit Biomarkers - Related Videos
08:29
Biomarkers in an Animal Model for Revealing Neural, Hematologic, and Behavioral Correlates of PTSD
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Cited by 29 •
2012
We describe a rat model of post traumatic stress disorder (PTSD) that reveals the persistent alterations in neuroendocrine function and the delayed long-term, exaggerated fear response, characteristic of PTSD patients. The animal model and methods described here are useful for correlating biomarkers in brain nuclei, which are mechanistic but cannot be measured in patients, with biomarkers in peripheral white blood cells, which can.
09:27
RC/RL/LC Circuits
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2023
Source: Yong P. Chen, PhD, Department of Physics & Astronomy, College of Science, Purdue University, West Lafayette, IN Capacitors (C), inductors (L), and resistors (R) are each an important circuit element with distinct behaviors. A resistor dissipates energy and obeys Ohm's law, with its voltage proportional to its current. A capacitor stores electrical energy, with its current proportional to the rate of change of its voltage, while an inductor stores magnetic energy, with its voltage...
01:17
Second-Order Circuits
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2024
Integrating two fundamental energy storage elements in electrical circuits results in second-order circuits, encompassing RLC circuits and circuits with dual capacitors or inductors (RC and RL circuits). Second-order circuits are identified by second-order differential equations that link input and output signals. Input signals typically originate from voltage or current sources, with the output often representing voltage across the capacitor and/or current through the inductor. For example, in...
08:28
An Overview of bGDGT Biomarker Analysis for Paleoclimatology
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst Throughout this series of videos, natural samples were extracted and purified in search of organic compounds, called biomarkers, that can relate information on climates and environments of the past. One of the samples analyzed was sediment. Sediments accumulate over geologic time in basins, depressions in the Earth into which sediment flows through the action of fluid (water or air), movement, and gravity. Two main types...
03:01
Drosophila Optogenetics: A Method to Manipulate Neuronal Circuits
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2023
Optogenetics enables the use of light to manipulate neurons that are genetically engineered to express specific opsins–light-sensitive proteins whose light activation triggers a change in the state of the neuron. Here we describe an optogenetic approach in Drosophila using the opsin Channelrhodopsin2. The example protocol features an optogenetics assay set to study the neuronal circuitry behind the fly's escape behavior.
FAQs
The most informative signals capture coordination across a circuit rather than activity in isolation. Candidate features include coordinated firing, network oscillations, connectivity patterns, and responses along a pathway. Their value comes from relating these measurable features to a defined brain state, behavior, or disease-related phenotype, creating a quantitative link between circuit function and an observed condition.
Their interpretation depends on comparing circuit features with defined normal or abnormal phenotypes. A particular pattern of activity, connectivity, or organization becomes meaningful when it consistently corresponds to a brain state, behavior, or disease-related change. This comparison allows researchers to examine how distributed circuits support normal function and where disease-related dysfunction alters that relationship.
Circuit Biomarkers emphasize relationships among connected brain regions, including coordinated activity and pathway responses. A single-region measurement may describe local activity, whereas a circuit-level feature can represent how distributed areas interact or respond together. This broader perspective is useful when the phenotype depends on network organization rather than on an isolated regional signal.
A measurable circuit feature becomes more useful when its relationship to a specific phenotype is clearly established. Defined phenotypes provide the reference needed to interpret whether a pattern corresponds to behavior, a brain state, or disease-related dysfunction. This linkage supports quantitative comparisons across normal and abnormal function instead of relying only on descriptive observations.
Identification begins with recording or imaging activity across connected brain regions. Researchers then examine features such as coordinated firing, network oscillations, connectivity, or pathway responses and relate them to defined phenotypes. The resulting association can reveal a circuit signature linked to a state, behavior, or dysfunction and provide a measurable endpoint for further investigation.
These biomarkers can support disease classification by identifying circuit features associated with dysfunction. They may also help stratify patients according to relevant neural signatures, creating quantitative distinctions within a disease-related population. Because the features are tied to circuit activity or organization, they can contribute mechanistic information alongside classification or subgrouping.
Circuit-level signatures can help identify targets for neuromodulation by showing which connected regions, pathways, or activity patterns relate to a relevant phenotype. They can also provide quantitative measures for examining whether an intervention changes the associated circuit feature. This connects target selection with measurable neural function rather than relying solely on behavioral or clinical description.
They provide quantitative endpoints for studying mechanisms and therapeutic response. Researchers can use measurable changes in activity, connectivity, organization, or pathway responses to examine how circuit function relates to a phenotype and whether treatment produces a corresponding neural change. This makes circuit biomarkers useful for connecting experimental observations with disease mechanisms and therapeutic evaluation.