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

Nonconscious Mimicry01:13

Nonconscious Mimicry

4.6K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
4.6K
Empathy02:34

Empathy

9.7K
Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
9.7K
Brain Imaging01:14

Brain Imaging

295
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
295
Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

2.4K
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...
2.4K
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

235
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
235

You might also read

Related Articles

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

Sort by
Same author

Neurocomputational Mechanisms Linking Future Interaction Prospects to Reactive and Proactive Costly Punishment.

Neuroscience bulletin·2026
Same author

Neurocomputational mechanisms of social presence effects on instrumental learning.

Communications biology·2025
Same author

Common neural dysfunction in psychiatric disorders: Insights from a meta-analysis of resting-state fMRI studies.

Translational psychiatry·2025
Same author

Multi-layer ear-scalp distillation framework for ear-EEG classification enhancement.

Journal of neural engineering·2024
Same author

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

Journal of neural engineering·2024
Same author

Different drives of herding: An exploratory study of motivations underlying social conformity.

PsyCh journal·2022

Related Experiment Video

Updated: Aug 30, 2025

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

1.2K

Intrinsic brain activity patterns across large-scale networks predict reciprocity propensity.

Ting Li1,2,3, Zhaodi Pei4,5, Zhiyuan Zhu4,5

  • 1Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China.

Human Brain Mapping
|September 2, 2022
PubMed
Summary
This summary is machine-generated.

Individual differences in reciprocity propensity can be predicted using resting-state brain activity. Patterns across multiple brain networks reveal the neural basis of varying levels of reciprocity in humans.

Keywords:
individual differenceslarge-scale networksmachine learningreciprocityresting-state fMRI

More Related Videos

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions
10:45

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Published on: July 6, 2011

11.7K
How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

6.7K

Related Experiment Videos

Last Updated: Aug 30, 2025

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

1.2K
Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions
10:45

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Published on: July 6, 2011

11.7K
How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

6.7K

Area of Science:

  • Neuroscience
  • Social Psychology
  • Cognitive Science

Background:

  • Reciprocity is a fundamental aspect of human societies, yet individual propensities vary significantly.
  • While group-level neural underpinnings of reciprocity are known, individual differences remain poorly understood.

Purpose of the Study:

  • To investigate the neural basis of individual differences in reciprocity propensity.
  • To predict individual reciprocity propensity using resting-state brain activity and machine learning.

Main Methods:

  • Utilized resting-state functional magnetic resonance imaging (fMRI) to measure fractional amplitude of low-frequency fluctuation (fALFF).
  • Applied machine learning techniques to predict individual reciprocity propensity from brain activity patterns.
  • Conducted functional connectivity and decoding analyses on predictive brain regions.

Main Results:

  • Resting-state brain activity patterns across multiple networks successfully predicted individual reciprocity propensity.
  • Key predictive regions were identified within the salience, fronto-parietal, default mode, and sensorimotor networks.
  • These networks are involved in emotion, cognitive control, mentalizing, and motor processes.

Conclusions:

  • Novel neural signatures for individual differences in reciprocity propensity were identified.
  • Reciprocity emerges from the integrated activity of multiple large-scale brain networks.
  • Findings advance our understanding of the psychophysiological basis of social behavior.