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

Computed Tomography01:10

Computed Tomography

7.6K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
7.6K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

885
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
885
Positron Emission Tomography01:29

Positron Emission Tomography

6.2K
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
6.2K

You might also read

Related Articles

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

Sort by
Same author

Role of optically pumped magnetometers in presurgical epilepsy evaluation: Commentary of the American Clinical Magnetoencephalography Society.

Epilepsia·2023
Same author

Music, Math, and Working Memory: Magnetoencephalography Mapping of Brain Activation in Musicians.

Frontiers in human neuroscience·2022
Same author

Magnetoencephalography-identified preictal spiking correlates to preictal spiking on stereotactic EEG.

Epilepsy & behavior reports·2022
Same author

Predictive Processing during a Naturalistic Statistical Learning Task in ASD.

eNeuro·2020
Same author

Language Mapping With Magnetoencephalography: An Update on the Current State of Clinical Research and Practice With Considerations for Clinical Practice Guidelines.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2020
Same author

Visual Mapping With Magnetoencephalography: An Update on the Current State of Clinical Research and Practice With Considerations for Clinical Practice Guidelines.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2020
Same journal

Classifying Psychedelic-Related Complications.

Current topics in behavioral neurosciences·2026
Same journal

Psychedelic-Related Psychosis: From Model Psychosis to Psychotherapy.

Current topics in behavioral neurosciences·2026
Same journal

Managing Psychological Challenges in the Subacute ("Afterglow") Window of Psychedelic Drug Effects.

Current topics in behavioral neurosciences·2025
Same journal

Flashbacks, Hallucinogen Persisting Perception Disorder (HPPD), and Reactivations Following the Use of Classic Psychedelics: Classification and Therapeutic Management.

Current topics in behavioral neurosciences·2025
Same journal

Correction to: Psychedelic Drug Checking: Analytical and Strategic Challenges in Harm Reduction for Classic Psychedelics.

Current topics in behavioral neurosciences·2025
Same journal

Ontologically Challenging Psychedelic Experiences: Considerations for Managing Associated Distress.

Current topics in behavioral neurosciences·2025
See all related articles

Related Experiment Video

Updated: Apr 25, 2026

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

1.7K

Connectivity measurements for network imaging.

Susan M Bowyer1

  • 1Henry Ford Hospital, Detroit, USA, SBOWYER1@hfhs.org.

Current Topics in Behavioral Neurosciences
|August 18, 2014
PubMed
Summary
This summary is machine-generated.

Analyzing neuronal oscillations helps assess human brain network connectivity. Mathematical methods like coherence and Granger causality detect synchronous activity, revealing network health and information flow direction.

More Related Videos

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

10.1K
Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

13.7K

Related Experiment Videos

Last Updated: Apr 25, 2026

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

1.7K
A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

10.1K
Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

13.7K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biophysics

Background:

  • Brain network communication relies on neuronal oscillations.
  • Assessing neuronal synchrony indicates the health of human brain networks.
  • Advanced imaging techniques like MEG, EEG, fMRI, and PET enable measurement of synchronous activity.

Purpose of the Study:

  • To explore mathematical methods for analyzing neuronal oscillations and brain network connectivity.
  • To detail how coherence, phase synchrony, correlation, and Granger causality can quantify brain network function.
  • To establish a framework for statistical analysis of connectivity data for clinical applications.

Main Methods:

  • Utilized coherence to measure similarity in oscillatory activity between sensors or brain regions.
  • Employed phase synchrony to assess the temporal alignment of oscillatory activities.
  • Applied correlation to determine the strength of interaction between different locations or signals.
  • Used Granger causality to infer the direction of information flow within neuronal networks.

Main Results:

  • Demonstrated that coherence effectively detects synchronized oscillatory patterns.
  • Showcased phase synchrony's utility in identifying in-sync or out-of-sync neuronal activities.
  • Confirmed correlation's role in quantifying signal interaction strength.
  • Validated Granger causality for mapping directional communication pathways in brain networks.

Conclusions:

  • Mathematical analysis of neuronal oscillations provides robust metrics for brain network connectivity.
  • These methods, including coherence, phase synchrony, correlation, and Granger causality, are crucial for understanding brain function.
  • Statistical analysis of these connectivity measures can aid in diagnosing normal versus abnormal network activity in patients.