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

16.7K
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.
16.7K
The Resting Membrane Potential01:21

The Resting Membrane Potential

142.5K
Overview
142.5K
Resting Membrane Potential01:24

Resting Membrane Potential

21.7K
The relative difference in electrical charge, or voltage, between the inside and the outside of a cell membrane, is called the membrane potential. It is generated by differences in permeability of the membrane to various ions and the concentrations of these ions across the membrane.
The Inside of a Neuron is More Negative
The membrane potential of a cell can be measured by inserting a microelectrode into a cell and comparing the charge to a reference electrode in the extracellular fluid. The...
21.7K
Resting Potential Decay01:15

Resting Potential Decay

6.4K
The resting membrane potential of a neuron (-70mV) is sustained due to the selective ion permeability of the membrane. At the resting potential, the membrane is slightly permeable to ions like sodium (Na+) and chloride (Cl−) and highly permeable to potassium ions (K+). Differences in the ions' concentration inside the cell compared to the outside are maintained by membrane transport proteins like channels and pumps.
At rest, the K+ is the main ion that moves across the membrane...
6.4K
Pressure Variation in a Fluid at Rest01:11

Pressure Variation in a Fluid at Rest

813
In a fluid at rest, the pressure at any point beneath the fluid surface depends solely on the depth, not on the container's shape or size. This principle, known as hydrostatic pressure, arises because, in stationary fluids, there is no acceleration, meaning the forces within the fluid balance out. Only vertical forces, caused by the weight of the fluid above, contribute to pressure changes with depth.
When measuring pressure at two different levels within the fluid, the difference in...
813
Functional Brain Systems: Limbic System01:15

Functional Brain Systems: Limbic System

7.3K
The limbic system, often called the "emotional brain," is a complex set of structures located deep within the brain. The intricate network of the limbic system supports a wide range of psychological functions, from emotional regulation to memory formation and sensory processing. This functional brain region encompasses specific parts of the diencephalon and the cerebrum, integrating the higher mental functions of the cerebral cortex with the primitive emotional responses of the deep brain...
7.3K

You might also read

Related Articles

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

Sort by
Same author

Chemotherapy-related cognitive impairment and non-pharmacological interventions targeting the nervous system: a systematic review.

Frontiers in psychiatry·2026
Same author

Transcranial magnetic stimulation from healthy brain aging to Alzheimer's disease: a review on mechanisms, therapeutic potential, and future clinical directions.

Frontiers in aging neuroscience·2026
Same author

Brain senescence drives sarcopenia-like transcriptomic remodeling in skeletal muscle.

GeroScience·2026
Same author

Age- and cognitive load-related variability and entropy of gait: integrating coefficient of variation, median absolute deviation, and permutation entropy of spatiotemporal parameters into the Semmelweis Study gait assessment framework.

GeroScience·2026
Same author

Diminished variability of alpha and beta band-limited power as a neural signature in schizophrenia.

Translational psychiatry·2026
Same author

Global scale-free brain activity as a potential neural signature of visual information processing in aging.

Frontiers in aging neuroscience·2026

Related Experiment Video

Updated: Feb 1, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

7.1K

Multifractal Dynamic Functional Connectivity in the Resting-State Brain.

Frigyes Samuel Racz1, Orestis Stylianou1, Peter Mukli1

  • 1Department of Physiology, Semmelweis University, Budapest, Hungary.

Frontiers in Physiology
|December 18, 2018
PubMed
Summary
This summary is machine-generated.

Brain connectivity is dynamic and multifractal. This study used EEG to show that global and local brain network dynamics exhibit fractal properties, varying between eyes-open and eyes-closed states.

Keywords:
braindynamic functional connectivityelectroencephalography (EEG)functional connectivitymultifractal analysesself-organized criticality (SOC)synchronization likelihood (SL)

More Related Videos

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.7K
Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

886

Related Experiment Videos

Last Updated: Feb 1, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

7.1K
Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.7K
Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

886

Area of Science:

  • Neuroscience
  • Complex Systems
  • Brain Connectivity Analysis

Background:

  • Functional connectivity (FC) is crucial for understanding brain function.
  • Static FC approaches overlook dynamic fluctuations present even at rest.
  • Previous research indicated dynamic functional connectivity (DFC) exhibits fractal dynamics.

Purpose of the Study:

  • To investigate the multifractal nature of electroencephalography (EEG) dynamic functional connectivity (DFC).
  • To analyze global and local DFC properties using graph theory and multifractal analysis.
  • To compare DFC characteristics in eyes-open (EO) versus eyes-closed (EC) states.

Main Methods:

  • EEG data recorded from 24 healthy adults across 14 cortical regions.
  • Dynamic graph theoretical analysis applied to compute time-dependent synchronization and network measures (Density, Clustering Coefficient, Efficiency).
  • Focus-based multifractal time series analysis used to characterize fractal dynamics across EEG frequency bands.

Main Results:

  • Global network topological measures demonstrated multifractal fluctuations across all frequency bands.
  • The Hurst exponent was significantly higher in EC than EO states for alpha and beta bands.
  • Short-distance connections showed higher autocorrelation, while long-distance connections exhibited lower multifractality, with an inverse pattern in the delta band.

Conclusions:

  • Multifractality is an inherent property of both global and local dynamic functional connectivity.
  • The findings highlight the importance of dynamic and fractal approaches for analyzing brain networks.
  • The study provides novel analytical tools for capturing fine details of DFC.