Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Functions of Connective Tissues

Functions of Connective Tissues

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.

Network Function of a Circuit

Network Function of a Circuit

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.

Protein Networks

Protein Networks

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,...

Cognitive Dissonance

Cognitive Dissonance

Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...

Network Covalent Solids

Network Covalent Solids

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...

Self-Evaluation Maintenance Model

Self-Evaluation Maintenance Model

The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...

You might also read

Related Articles

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

Sort by

Same author

Validity and Reliability of a Virtual Reality Game in Evaluating the Projected Frontal Plane Knee Angle When Landing From a Drop Vertical Jump.

Journal of sport rehabilitation·2017

Same author

A controlled study of agoraphobia and the independent effect of virtual reality exposure therapy.

The Australian and New Zealand journal of psychiatry·2012

Same author

Isolating the effect of Virtual Reality Based Exposure Therapy for agoraphobia: a comparative trial.

Studies in health technology and informatics·2011

Same journal

Anterior Cingulate Cortex Mediates State-Dependent Prioritization of Distressed Conspecifics.

Brain sciences·2026

Same journal

Hemispherotomy for Pediatric Post-Traumatic Epilepsy.

Brain sciences·2026

Same journal

When Robots Learn: Artificial Intelligence and the Next Human-Centered Era of Neurorehabilitation.

Brain sciences·2026

Same journal

The Association Between Changes in White Matter Microstructure and Cognitive Function in Older Adults with Mild Cognitive Impairment.

Brain sciences·2026

Same journal

Beyond Ventricular Enlargement: Multimodal MRI Assessment Improves Surgical Decision-Making in Normal Pressure Hydrocephalus.

Brain sciences·2026

Same journal

The Effects of Personalized Observation, Execution, and Mental Imagery (POEM) Therapy in Logopenic Primary Progressive Aphasia: A Telepractice-Based Single-Case Study.

Brain sciences·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 30, 2026

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

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

Connectivity Analysis Using Functional Brain Networks to Evaluate Cognitive Activity during 3D Modelling.

Muhammad Zeeshan Baig¹, Manolya Kavakli²

¹Department of Computing, Faculty of Science and Engineering, Macquaire University, Sydney, NSW 2109,Australia. baig.mzeeshan@gmail.com.

|January 27, 2019

Summary

This summary is machine-generated.

This study compared novice and expert 3D CAD users using brain activity (EEG) and information flow (NTE). Experts show controlled brain activation, while novices exhibit increased activity, enabling accurate user classification for adaptive systems.

Keywords:

3D modelling expert functional brain network information flow pattern novice transfer entropy

More Related Videos

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

Published on: February 24, 2021

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

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

Published on: August 5, 2014

Related Experiment Videos

Last Updated: Jan 30, 2026

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

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

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

Published on: February 24, 2021

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

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

Published on: August 5, 2014

Area of Science:

Cognitive Science
Human-Computer Interaction
Neuroscience

Background:

3D CAD modelling demands specialized skills, necessitating extensive training for novices.
Understanding user-dependent factors can significantly reduce novice training time.
Information flow patterns in the brain differ between novice and expert users during complex tasks.

Purpose of the Study:

To comparatively analyze information flow patterns between novice and expert 3D CAD users.
To investigate cognitive differences during rest, drawing, and manipulation states using EEG and NTE.
To assess the effectiveness of NTE and graph theory in distinguishing user expertise levels.

Main Methods:

Utilized Electroencephalogram (EEG) to record brain activity.
Applied Normalized Transfer Entropy (NTE) to analyze information flow patterns.
Employed classification algorithms (k-NN) and graph theory on NTE matrices.
Experiment included three cognitive states: rest, drawing, and manipulation.

Main Results:

Experts demonstrated consistent cognitive activation across drawing and manipulation states.
Novices showed higher brain activation during manipulation compared to drawing.
Expert users exhibited controlled information flow across brain regions; novices showed increased activity globally.
Achieved over 90% classification accuracy in distinguishing novice and expert users using k-NN.

Conclusions:

NTE and EEG effectively differentiate novice and expert 3D CAD users based on brain information flow.
Expertise in 3D modelling correlates with more regulated neural information processing.
The findings support the development of adaptive 3D modelling systems tailored to user expertise.