Oscillatory Brain Activity
Oscillatory Brain Activity - Related Videos
11:26
Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
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Cited by 7 •
2014
Cerebral perfusion is maintained across a range of pressures via cerebral autoregulation. However, characterizing autoregulation requires prominent pressure fluctuations at regulated frequencies. The described protocol will show how oscillatory lower body negative pressure can generate pressure fluctuations to provide data for projection pursuit regression for quantification of the autoregulatory curve.
07:28
Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
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Cited by 8 •
2017
Psychophysical methods such as the QUEST estimation procedure can efficiently yield robust estimates of the stimulation intensity at which nonpainful sensations transition into painful sensations. By stimulating repeatedly at the threshold intensity, the variability in rating responses can directly be attributed to perceptual classifications in subsequent analyses.
08:32
Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels
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2022
The protocol demonstrates a convenient method to produce harmonic oscillatory flow from 10-1000 Hz in microchannels. This is performed by interfacing a computer-controlled speaker diaphragm to the microchannel in a modular manner.
09:58
Recording Brain Activity with Ear-Electroencephalography
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Cited by 8 •
2023
Presented here is the procedure for using the c-grid (ear-electroencephalography, sold under the name cEEGrid) for recording brain activity in and beyond the lab for extended durations. This protocol describes how to set up these arrays and how to record brain activity using them.
04:42
In Vivo Electrophysiological Recordings of Brain Activities from Multiple Sites in Rats
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2025
This video demonstrates the detailed procedure for preparing an anesthetized rat for electrophysiological recordings of brain activity from multiple sites. The scalp is dissected to access the skull, and holes are drilled at precise locations to install and secure electrodes. Tungsten microwire electrodes are then inserted into the targeted location to record the data.
FAQs
Frequency describes how rapidly a rhythm cycles, while amplitude indicates the size of its fluctuations and phase specifies its timing within a cycle. Considering these features together allows researchers to distinguish patterns of neural activity and examine how they change during behavior. Such changes can provide information about how brain dynamics support cognition and action.
Synchronization describes coordinated timing among neural populations or across brain regions. By examining whether activity becomes more aligned during a behavioral state, researchers can investigate how distributed circuits organize information. Timing relationships may reveal how the brain coordinates processes such as attention, perception, memory, and movement rather than relying only on activity in an isolated region.
Rhythmic patterns reflect synchronized changes in neuronal membrane potentials and synaptic inputs. These cellular events shape the frequency, amplitude, and phase of population activity, linking local neural processes with larger-scale recordings. Studying their variation helps explain how circuit activity can adapt as an organism attends to information, learns, remembers, or performs an action.
Researchers can measure these rhythms with electroencephalography or local field recordings while examining behavior. Electroencephalography provides a way to track electrical activity associated with neural populations, whereas local field recordings capture activity near a recording site. Comparing rhythmic features and timing across recordings helps relate neural dynamics to behavioral states and actions.
Changes in rhythmic activity can be examined in relation to attention, perception, learning, memory, and movement. Researchers compare neural patterns across behavioral conditions or actions to determine how circuit dynamics vary with each process. This approach connects measurable changes in electrical activity with the brain's changing demands during cognition and behavior.
Analyzing timing across brain regions can show how neural circuits organize information and adjust their activity during cognition and action. Researchers may use changes in synchronization, frequency, amplitude, or phase to identify task-related dynamics. These measurements offer a framework for interpreting behavior as the outcome of coordinated, time-dependent activity rather than static neural signals.