High Density Recording
High Density Recording - Related Videos
09:32
Cortical Source Analysis of High-Density EEG Recordings in Children
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Cited by 6 •
2014
In recent years, there has been increasing interest in estimating the cortical sources of scalp measured electrical activity for cognitive neuroscience experiments. This article describes how high density EEG is acquired and how recordings are processed for cortical source estimation in children from the age of 2 years at the London Baby Lab.
06:59
High-density EEG Recordings of the Freely Moving Mice using Polyimide-based Microelectrode
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Cited by 33 •
2011
In this article, we described the surgery procedure and handling tips for implantation of ultra-thin polyimide-based microelectrode array (PBM-array) on the mouse skull for acquisition of high-density encephalography (EEG) in a mouse model.
09:35
Fabrication of High Contact-Density, Flat-Interface Nerve Electrodes for Recording and Stimulation Applications
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Cited by 24 •
2016
This article provides a detailed description on the fabrication process of a high contact-density flat interface nerve electrode (FINE). This electrode is optimized for recording and stimulating neural activity selectively within peripheral nerves.
07:19
Determining the Density of a Solid and Liquid
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2023
Source: Laboratory of Dr. Michael Evans — Georgia Institute of Technology The ratio of the mass of a substance to its volume is known as the mass density or, simply, the density of the substance. Density is expressed in units of mass per volume, such as g/mL or kg/m3. Because the density of a substance does not depend on the amount of substance present, density is an “intensive property”. To measure the density of a sample of material, both the mass and volume of the sample must be determined.
08:42
Density Gradient Ultracentrifugation
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2023
Density gradient ultracentrifugation is a common technique used to isolate and purify biomolecules and cell structures. This technique exploits the fact that, in suspension, particles that are more dense than the solvent will sediment, while those that are less dense will float. A high-speed ultracentrifuge is used to accelerate this process in order to separate biomolecules within a density gradient, which can be established by layering liquids of decreasing density in a centrifuge tube. The...
FAQs
High density recording converts extracellular voltage changes into interpretable neural signals through sequential processing. Amplification increases the measurable signal, filtering helps separate relevant electrical activity from unwanted frequency components, and spike sorting assigns action-potential events to putative individual neurons. This processing makes population-level activity comparable across neurons and supports analysis of local network behavior.
Closely spaced electrode arrays or probes provide denser spatial sampling than a single-electrode approach. Recording from multiple nearby locations allows researchers to compare activity across a neural population rather than focusing on one signal. That broader sampling can expose coordinated activity, connectivity patterns, and relationships between local activity and activity across brain regions.
Spike sorting separates recorded action-potential signals and associates them with individual neurons. This step is necessary because extracellular recordings can contain activity from more than one source within the sampled population. After sorting, researchers can examine how particular neurons contribute to local network activity, rather than treating the combined voltage trace as one undifferentiated signal.
The method can reveal synchrony, connectivity, and information-processing patterns across neural populations. Synchrony describes coordinated activity, while connectivity patterns indicate relationships among recorded neural signals. Examining these features together helps researchers move from isolated spike events to network-level interpretations, including how coordinated activity may relate to brain function.
Researchers apply high density recording to questions about sensory coding and behavior, where the goal is to relate population activity to what the nervous system represents or how an animal responds. Because the technique samples many neurons at once, it can identify population patterns that a single-electrode measurement might not capture.
In disease-focused neuroscience, the approach can help characterize circuit dysfunction by showing how neural activity patterns and coordination are organized across populations. It also supports neural-interface research, where simultaneous signals from many neurons provide a broader view of activity relevant to neural interfaces. These applications connect basic circuit analysis with disease-related and interface-focused studies.