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

Understanding Deception01:14

Understanding Deception

168
Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
168
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

142.6K
Overview
142.6K
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

2.1K
Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
2.1K
Resting Membrane Potential01:24

Resting Membrane Potential

21.8K
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...
21.8K
Machines01:19

Machines

579
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
579

You might also read

Related Articles

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

Sort by
Same author

Dissociable somatotopic representations of Chinese action verbs in the motor and premotor cortex.

Scientific reports·2013
Same author

High quantum-yield CdSexS1-x/ZnS core/shell quantum dots for warm white light-emitting diodes with good color rendering.

Nanotechnology·2013
Same author

A novel microfluidic mixer based on dual-hydrodynamic focusing for interrogating the kinetics of DNA-protein interaction.

The Analyst·2013
Same author

Correlation of reorientational jumps of water molecules in bulk water.

Physical review. E, Statistical, nonlinear, and soft matter physics·2013
Same author

Palladium-catalyzed direct arylation of C-H bond to construct quaternary carbon centers: the synthesis of diarylfluorene.

Organic letters·2013
Same author

Strength and fracture behavior of graphene grain boundaries: effects of temperature, inflection, and symmetry from molecular dynamics.

Physical chemistry chemical physics : PCCP·2013

Related Experiment Video

Updated: Feb 3, 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

Resting-state Functional Connectivity and Deception: Exploring Individualized Deceptive Propensity by Machine

Honghong Tang1, Xiaping Lu2, Zaixu Cui3

  • 1Business School, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.

Neuroscience
|November 6, 2018
PubMed
Summary

Brain network patterns predict individual differences in deception. Resting-state functional connectivity (RSFC) analysis using machine learning identified key networks involved in honest or deceptive choices.

Keywords:
cross validationdeceptionindividual differencemachine learningneural traitresting-state fMRI

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K

Related Experiment Videos

Last Updated: Feb 3, 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
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Behavioral Economics

Background:

  • Individual differences in honesty and deception are significant but poorly understood.
  • Previous research focused on neural substrates of deception, neglecting individual variability.
  • The neural basis of why some individuals are more prone to deception than others remains unclear.

Purpose of the Study:

  • To investigate the neural networks underlying individual differences in deceptive propensity.
  • To predict deceptive behavior using topological properties of whole-brain resting-state functional connectivity (RSFC).
  • To explore the application of machine learning in understanding deception.

Main Methods:

  • Acquired resting-state functional MRI (fMRI) data from participants.
  • Participants engaged in a modified ultimatum game to assess honest vs. deceptive choices.
  • Employed a linear relevance vector regression (RVR) model to correlate RSFC network properties with deceptive behavior.

Main Results:

  • A machine-learning model successfully predicted individual differences in deception.
  • Three key brain networks were identified: executive control, social/mentalizing, and reward networks.
  • These networks form a cognitive framework for decision-making in honest or deceptive situations.

Conclusions:

  • Resting-state functional connectivity (RSFC) can serve as a task-independent neural marker for deceptive propensity.
  • Machine learning offers a powerful tool for analyzing neural data and predicting complex behaviors like deception.
  • Findings illuminate the neural mechanisms underlying individual variations in honesty and deception.