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

Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

1.4K
Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
1.4K
Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

5.5K
The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
5.5K
Association Areas of the Cortex01:21

Association Areas of the Cortex

10.2K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
10.2K
Alzheimer Disease ll: Pathophysiology01:23

Alzheimer Disease ll: Pathophysiology

32
Alzheimer disease involves structural changes in the brain that begin long before symptoms appear. The most distinctive features are extracellular neuritic plaques and intracellular neurofibrillary tangles.Neuritic plaques form in the cerebral cortex and around blood vessels. These plaques contain a dense core of beta-amyloid (Aβ)—a toxic protein fragment that clumps outside neurons. The core is surrounded by damaged neuronal extensions, as well as reactive astrocytes and...
32

You might also read

Related Articles

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

Sort by
Same author

Zero-Calibration MI Decoding via Self-Supervised Representation and Ensemble Learning.

IEEE transactions on bio-medical engineering·2026
Same author

TFANet: A Time-Frequency Aware Network With Joint Entropy Coding for High-Ratio EEG Compression.

IEEE transactions on bio-medical engineering·2025
Same author

From Frequency to Temporal: Three Simple Steps Achieve Lightweight High-Performance Motor Imagery Decoding.

IEEE transactions on bio-medical engineering·2025
Same author

Motor Imagery Recognition Based on GMM-JCSFE Model.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2024
Same author

s-TBN: A New Neural Decoding Model to Identify Stimulus Categories From Brain Activity Patterns.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2024
Same author

A feature enhanced EEG compression model using asymmetric encoding-decoding network<sup></sup>.

Journal of neural engineering·2024

Related Experiment Video

Updated: Apr 28, 2026

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

14.1K

Aging Influence on Gray Matter Structural Associations within the Default Mode Network Utilizing Bayesian Network

Yan Wang1, Kewei Chen2, Jiacai Zhang1

  • 1College of Information Science and Technology, Beijing Normal University , Beijing , China.

Frontiers in Aging Neuroscience
|June 10, 2014
PubMed
Summary

Normal aging alters brain networks like the default mode network (DMN). Our study reveals specific changes in structural connections within the DMN in older adults, impacting brain network function.

Keywords:
Bayesian network modelingdefault mode networkgray matternormal agingstructural associations

More Related Videos

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

9.5K
Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

7.5K

Related Experiment Videos

Last Updated: Apr 28, 2026

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

14.1K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

9.5K
Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

7.5K

Area of Science:

  • Neuroscience
  • Brain Aging Research
  • Network Science

Background:

  • Neuroimaging reveals aging-related changes in brain networks, including the default mode network (DMN).
  • Understanding specific structural dependencies within the DMN during normal aging remains limited.

Purpose of the Study:

  • To characterize aging's influence on structural associations between core DMN regions using Bayesian network (BN) modeling.
  • To investigate the discriminability of BN models representing young and old adults.

Main Methods:

  • Analyzed gray matter volume data from 109 young and 82 older subjects.
  • Employed Bayesian network (BN) modeling to map structural connections within the DMN.
  • Utilized classification analysis to assess model discriminability between age groups.

Main Results:

  • Older adults showed reduced connections (e.g., right inferior temporal cortex to medial prefrontal cortex) and increased connections (e.g., left hippocampus to medial prefrontal cortex) within the DMN.
  • Aging-related BN models accurately predicted group membership (88.48% accuracy).

Conclusions:

  • Structural associations within the DMN are demonstrably affected by normal aging.
  • These findings provide critical insights into how aging impacts brain structural networks.