Neurophysiological Biomarkers
Neurophysiological Biomarkers - Related Videos
09:16
An Introduction to Neurophysiology
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2023
Neurophysiology is broadly defined as the study of nervous system function. In this field, scientists investigate the central and peripheral nervous systems at the level of whole organs, cellular networks, single cells, or even subcellular compartments. A unifying feature of this wide-ranging discipline is an interest in the mechanisms that lead to the generation and propagation of electrical impulses within and between neurons. This subject is important not only for our understanding of the...
09:37
Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
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Cited by 5 •
2015
Attention control comprises enhancement of target signals and attenuation of distractor signals. We describe an approach to measure separately but concurrently, the neurophysiology of attending and ignoring in sustained intermodal attention, utilizing a passive control condition during which neither process is continuously engaged.
19:32
Preterm EEG: A Multimodal Neurophysiological Protocol
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Cited by 39 •
2012
This video explains the background theory of the neonatal EEG activity and the sensory responses, followed by a live demonstration of their recording in neonatal intensive care unit.
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.
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...
FAQs
Synchronized electrical activity reflects coordinated neural signaling, whereas stimulus-evoked responses show how the nervous system reacts to a defined input. Muscle and nerve conduction measures provide information about signaling along nerves and into muscle, while functional brain activity reflects changes in active brain systems. Comparing these sources helps connect measurable physiology with different neural circuits and states.
A physiological signal becomes more informative when it can be related to the neural circuitry generating it. This connection helps distinguish changes in nervous system function from a nonspecific measurement difference and supports interpretation of disease-related states or treatment effects. In neuroscience, circuit-linked measures therefore strengthen the biological meaning of diagnosis, classification, and monitoring results.
Neurophysiological Biomarkers are not interchangeable because they arise from different physiological processes. Electroencephalography captures synchronized electrical activity, evoked measures focus on responses to stimulation, and nerve or muscle conduction reflects signaling associated with peripheral pathways. Functional brain activity provides another perspective on active neural systems. The appropriate measure depends on which aspect of nervous system function requires evaluation.
A basic workflow begins by selecting a measurable nervous system feature relevant to the question, such as electrical activity, an evoked response, conduction, or functional brain activity. The resulting signal is then interpreted in relation to neural state, disease, or treatment. This approach supports diagnostic assessment, classification, progression tracking, or evaluation of therapeutic effects.
Researchers can use these measures when they need an objective indicator of whether a therapeutic intervention changes nervous system function. Comparing biomarker findings with the treatment context can help evaluate therapeutic effects and follow changes over time. This use complements clinical assessment by providing physiological information that may support more biologically informed monitoring and intervention.
Neurophysiological Biomarkers can help separate patients or research participants according to measurable patterns of nervous system function, supporting patient stratification. They also provide objective measures for investigating brain function and for examining disease progression or treatment response. By connecting physiological signals with neural activity, they contribute to more precise approaches to monitoring, classification, and intervention.