Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Functions of Connective Tissues01:17

Functions of Connective Tissues

17.1K
Connective tissues perform a broad range of functions in the body. Their primary function is to connect and link different tissues in the body and act as packaging material between tissues. The areolar tissue, a connective tissue prototype, commonly cements various tissue types in diverse body organs. In contrast, adipose tissue cushions internal organs while insulating the body from heat loss.
Hard connective tissues, such as bones and cartilage, provide structure and support to the body.
17.1K
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Network Function of a Circuit01:25

Network Function of a Circuit

880
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
880
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Dietary Connections01:23

Dietary Connections

62.2K
In biological systems, most metabolic pathways are interconnected. The cellular respiration processes that convert glucose to ATP—such as glycolysis, pyruvate oxidation, and the citric acid cycle—tie into those that break down other organic compounds. As a result, various foods—from apples to cheese to guacamole—end up as ATP. In addition to carbohydrates, food also contains proteins and lipids—such as cholesterol and fats. All of these organic compounds are used...
62.2K
Fixed Action Patterns01:06

Fixed Action Patterns

17.7K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
17.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multifocal Noninvasive Deep Brain Stimulation to Enhance Cognition in Mild Cognitive Impairment: A Crossover Trial.

JAMA network open·2026
Same author

The correlates of hyperechogenicity of the substantia nigra in subjects at risk of dementia with Lewy bodies.

Journal of neural transmission (Vienna, Austria : 1996)·2026
Same author

Resting-state EEG alpha-BOLD coupling spatially follows cortical cell-type and receptor gradients.

bioRxiv : the preprint server for biology·2026
Same author

Resting-State Functional Connectivity of the Amygdala and Hippocampus in PTSD: Results From the PGC-ENIGMA PTSD Working Group.

The American journal of psychiatry·2026
Same author

Dynamic functional connectivity is related to cognitive performance of prodromal Lewy body dementia.

Journal of neural transmission (Vienna, Austria : 1996)·2026
Same author

Disrupted intrathalamic and thalamocortical structural covariance networks in posttraumatic stress disorder.

Network neuroscience (Cambridge, Mass.)·2026

Related Experiment Video

Updated: Feb 13, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.6K

Spatial-temporal-spectral EEG patterns of BOLD functional network connectivity dynamics.

Martin Lamoš1,2, Radek Mareček1, Tomáš Slavíček1

  • 1CEITEC-Central European Institute of Technology, Masaryk University, Kamenice 5, 62500, Brno.

Journal of Neural Engineering
|March 15, 2018
PubMed
Summary
This summary is machine-generated.

This study reveals distinct electroencephalogram (EEG) spectral patterns linked to brain network connectivity dynamics. These findings advance understanding of brain activity by analyzing EEG without standard constraints.

More Related Videos

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

34.4K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K

Related Experiment Videos

Last Updated: Feb 13, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.6K
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

34.4K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K

Area of Science:

  • Neuroscience
  • Brain Imaging
  • Electrophysiology

Background:

  • Examining large-scale brain network functional connectivity dynamics is a growing area of research.
  • Standard electroencephalogram (EEG) analysis methods may overlook neural activity due to spatial and spectral constraints.

Purpose of the Study:

  • To identify electrophysiological correlates of brain network functional connectivity dynamics.
  • To develop an approach for blindly revealing multimodal EEG spectral patterns related to BOLD functional network connectivity dynamics.

Main Methods:

  • Blind decomposition of EEG spectrograms using parallel factor analysis.
  • Independent component analysis of simultaneously acquired BOLD fMRI data.
  • Computation of dynamic functional connectivity using sliding window correlation on component time series.
  • Definition of between-network connectivity states and assessment of relationships with EEG spectral patterns via ANOVA tests.

Main Results:

  • Three EEG spectral patterns were identified in relation to between-network connectivity dynamics.
  • Pattern 1 (alpha, beta, gamma bands) linked to auditory, sensorimotor, and attentional networks.
  • Pattern 2 (theta, low alpha bands) associated with visual and default mode networks.
  • Pattern 3 (theta, low alpha bands) related to auditory and frontal networks.

Conclusions:

  • EEG spectral pattern fluctuations are related to the hemodynamics of large-scale brain networks.
  • This relationship extends to functional connectivity dynamics among brain networks when standard EEG constraints are removed.