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

Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

734
Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...
734
Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

788
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
788
Principles of Classical Conditioning01:23

Principles of Classical Conditioning

988
Classical conditioning, as described by Ivan Pavlov, is a foundational concept in associative learning, where a neutral stimulus becomes capable of eliciting a conditioned response through association with an unconditioned stimulus. The process of acquisition, where this learning occurs, and the subsequent phenomena of contiguity, contingency, generalization, discrimination, extinction, and spontaneous recovery are crucial for a comprehensive understanding of classical conditioning.
During the...
988
Functional Brain Systems: Limbic System01:15

Functional Brain Systems: Limbic System

3.9K
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...
3.9K
Operant Conditioning Intervention01:24

Operant Conditioning Intervention

114
Operant conditioning serves as a foundational principle in therapeutic interventions aimed at modifying maladaptive behaviors. Central to this approach is the notion that behaviors, both adaptive and maladaptive, are learned through reinforcement. By analyzing the environmental factors that reinforce problematic behaviors, clinicians can design interventions to weaken these reinforcements and replace maladaptive behaviors with healthier alternatives.
In operant conditioning, behaviors that are...
114
Neural Circuits01:25

Neural Circuits

1.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Detecting momentary reward and affect with real-time passive digital sensor data.

JAMIA open·2026
Same author

Negative emotional inflexibility underlies biological inflexibility: An ecological momentary assessment and passive digital sensing study.

Journal of affective disorders·2026
Same author

Computational Modelling Reveals Slower Safety Learning and Threat Extinction are Associated With Higher Anxiety Severity in Remote Fear Conditioning.

Computational psychiatry (Cambridge, Mass.)·2026
Same author

Social well-being moderates behavioral therapy response for generalized anxiety disorder.

Journal of mood and anxiety disorders·2025
Same author

A Behavioral Activation Digital Intervention Incorporating Gamification and Peer Support for Adolescent Depression in Rural South Africa: A Pilot Randomized Controlled Trial (the DoBAt Study).

JAACAP open·2025
Same author

Assessing the feasibility of large-scale digital sensing for depression and anxiety: The Digital Mental Health Study.

medRxiv : the preprint server for health sciences·2025

Related Experiment Video

Updated: Sep 11, 2025

Extinction Training During the Reconsolidation Window Prevents Recovery of Fear
11:17

Extinction Training During the Reconsolidation Window Prevents Recovery of Fear

Published on: August 24, 2012

35.6K

Broadening the scope: Multiple functional connectivity networks underlying threat conditioning and extinction.

Cody A Cushing1, Yujia Peng1,2,3,4, Zachary Anderson5

  • 1Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States.

Imaging Neuroscience (Cambridge, Mass.)
|August 13, 2025
PubMed
Summary

Threat learning involves multiple brain networks, not just specific regions. Functional connectivity analysis reveals distinct networks engaged during threat acquisition and extinction, crucial for understanding anxiety disorders.

Keywords:
conditioningextinctionfMRIfunctional connectivitythreat

More Related Videos

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

15.3K
Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses
06:42

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses

Published on: September 28, 2018

11.7K

Related Experiment Videos

Last Updated: Sep 11, 2025

Extinction Training During the Reconsolidation Window Prevents Recovery of Fear
11:17

Extinction Training During the Reconsolidation Window Prevents Recovery of Fear

Published on: August 24, 2012

35.6K
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

15.3K
Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses
06:42

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses

Published on: September 28, 2018

11.7K

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Psychiatry

Background:

  • Threat learning is fundamental to anxiety and fear-related disorders.
  • Previous research focused on specific brain regions, limiting understanding of whole-brain dynamics.
  • Investigating large-scale brain networks is essential for understanding human fear-related disorders.

Purpose of the Study:

  • To examine whole-brain functional connectivity networks during threat learning using fMRI.
  • To identify networks involved in threat acquisition, extinction, and extinction recall.
  • To understand the interplay of brain networks in threat and safety learning.

Main Methods:

  • 223 participants underwent a 2-day Pavlovian threat conditioning paradigm with fMRI.
  • Data-driven group independent component analysis (ICA) was used to analyze functional connectivity.
  • Connectivity was assessed during threat acquisition, extinction, and extinction recall phases.

Main Results:

  • A network including the default mode network (hippocampus, vmPFC, posterior cingulate) was involved in threat acquisition and extinction.
  • A salience network (dACC, mPFC, inferior frontal gyrus) was implicated in threat acquisition and extinction recall.
  • Other networks (salience, somatomotor, visual, frontoparietal) contributed to threat acquisition or extinction.

Conclusions:

  • Threat learning involves the coordinated function of multiple, spatially independent brain networks.
  • These networks operate in parallel, performing distinct functions across different timescales.
  • Understanding these network dynamics is critical for comprehending the neuropathology of anxiety and fear disorders.