Oscillatory Brain Function
Oscillatory Brain Function - Related Videos
11:26
Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
0 Views •
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.
08:32
Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels
0 Views •
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.
07:56
Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light
0 Views •
Cited by 11 •
2017
The goal of the protocol is to create liquid crystalline polymer films that can mechanically oscillate under continuous light irradiation. We describe in great detail the conception of free-standing films, from the liquid crystal alignment method to the photo-actuation. The experimental protocol applied to prepare this material is broadly applicable.
05:44
Using Saccadometry with Deep Brain Stimulation to Study Normal and Pathological Brain Function
0 Views •
Cited by 7 •
2016
This paper describes the use of quantitative measurement of eye movements in conjunction with stimulation of focal areas of the deep brain in order to study physiology, pathophysiology, and the mechanisms of deep brain stimulation.
05:55
Modeling the Functional Network for Spatial Navigation in the Human Brain
0 Views •
2023
This paper presents an integrative approach to investigating the functional network for spatial navigation in the human brain. This approach incorporates a large-scale neuroimaging meta-analytic database, resting-state functional magnetic resonance imaging, and network modeling and graph-theoretical techniques.
FAQs
Frequency describes how quickly neural activity fluctuates, whereas phase indicates the timing within each rhythmic cycle. Synchrony reflects coordinated activity across neuronal populations or brain regions. Examining these features together can show not only whether neural activity is rhythmic, but also how precisely different circuits align their activity while processing information or supporting behavior.
Changes in neuronal excitability determine when populations of neurons are more or less responsive to incoming signals. When activity becomes coordinated, the timing of responses can help organize communication within a circuit and between regions. This timing-based organization is important for linking distributed neural activity with behaviors that require integrated processing.
Behavioral performance can vary with the brain's changing oscillatory state. Measuring activity over time allows researchers to examine whether particular patterns of frequency, phase, or synchrony accompany differences in attention, perception, learning, memory, movement, or sleep. This approach connects transient neural dynamics with observable changes in how an individual performs a task or behavior.
Behavioral studies measure oscillatory activity while examining a relevant behavior or cognitive process. Researchers can then relate the recorded neural dynamics to performance, such as attention, perception, learning, memory, movement, or sleep. Comparing oscillatory patterns with behavioral outcomes helps identify how neural circuits organize behavior across changing brain states.
The approach can be applied across a broad range of behaviors and cognitive functions, including attention, perception, learning, memory, movement, and sleep. Each area offers an opportunity to examine how rhythmic neural dynamics relate to performance or state. This breadth makes oscillatory measures useful for connecting circuit-level activity with diverse behavioral phenomena.
Abnormalities in network rhythms may provide information about how neural communication and coordination are altered in neurological or psychiatric conditions. Studying changes in frequency, phase, or synchrony can help researchers relate disrupted oscillatory dynamics to affected brain states and behaviors. These measurements therefore support investigations linking circuit dysfunction with behavioral or clinical changes.