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

Traits and States01:17

Traits and States

452
Personality traits represent consistent patterns in behavior, thoughts, and emotions, reflecting an individual's tendencies across various situations. For example, extraversion, a well-known trait, manifests in individuals as talkative, energetic, and enthusiastic behaviors. These traits are stable over time, offering a reliable framework for predicting how people might act in different contexts. However, they do not define every moment of an individual's life. In contrast to traits,...
452
Traits, Mood, and Subjective Wellbeing01:22

Traits, Mood, and Subjective Wellbeing

225
Subjective well-being (SWB) refers to an individual's self-evaluation of their overall life satisfaction, happiness, and fulfillment. This multifaceted construct is typically assessed by analyzing the balance of positive and negative emotions alongside perceptions of life satisfaction. Personality traits such as neuroticism and extraversion are strongly associated with variations in SWB, offering critical insights into the underlying mechanisms of emotional well-being.
Neuroticism and...
225
Trait Centrality01:21

Trait Centrality

124
Trait centrality refers to the degree to which a particular characteristic influences the overall impression of an individual. Some traits exert a disproportionately strong impact on perception, shaping how people interpret other attributes of a person. Solomon Asch first systematically studied this phenomenon in 1946.Asch’s Experiment on Trait CentralityAsch's seminal study demonstrated the centrality of certain traits through a controlled experiment. Participants were presented with a...
124
Trait and State Self-Esteem02:08

Trait and State Self-Esteem

11.3K
The term self-esteem is often used generically, to refer to how people feel about themselves. However, according to research, there are three distinct constructs that should not be used interchangeably (Brown & Marshall, 2006). 
11.3K
Implicit Personality Theories01:23

Implicit Personality Theories

214
Implicit personality theory explains how individuals make assumptions about the relationships between personality traits, behaviors, and character types. When people learn that someone possesses a particular trait, they tend to infer the presence of other related characteristics, forming a cohesive impression. This cognitive shortcut plays a crucial role in social interactions and interpersonal judgments.Central Traits and Their InfluenceSolomon Asch's seminal 1946 study highlighted the power...
214
The Influence of Affect on Cognition01:29

The Influence of Affect on Cognition

206
Positive affect significantly influences cognitive processes, including evaluation, memory, creativity, and social judgments. Compared to negative affect, positive emotional states promote more favorable interpretations of stimuli, cognitive flexibility, and heuristic processing. These effects highlight emotions' powerful role in shaping how individuals perceive, remember, and interact with the world.Influence on Evaluation and AttributionWhen individuals experience positive affect, they are...
206

You might also read

Related Articles

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

Sort by
Same author

The role of the subcortical structures in subthreshold depression: evidence from static and dynamic functional connectivity.

Brain structure & function·2026
Same author

Improvement of PTSD symptoms via mobile app-delivered acceptance-commitment therapy intervention: A task-state functional magnetic resonance imaging randomized controlled trial.

Psychological trauma : theory, research, practice and policy·2026
Same author

Latent neural architecture organising shared aesthetic evaluations of visual artworks.

Nature communications·2026
Same author

Age-dependent acceleration of structural brain aging in medication-free major depressive disorder linked to neuroanatomical phenotype findings from COORDINATE-MDD consortium.

medRxiv : the preprint server for health sciences·2026
Same author

Spatiotemporal dynamics of the human cortical functional hierarchy across the lifespan.

Nature communications·2026
Same author

Machine-Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Related Experiment Video

Updated: Dec 15, 2025

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

15.6K

The trait and state negative affect can be separately predicted by stable and variable resting-state functional

Yu Li1,2, Kaixiang Zhuang1,2, Zili Yi3

  • 1Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.

Psychological Medicine
|July 14, 2020
PubMed
Summary

Negative affect (NA) trait and state features are linked to brain connectivity. Stable connectivity predicts trait NA, while variable connectivity predicts state NA, improving understanding of emotional disorders.

Keywords:
Negative affectresting-state functional connectivitystate-traitvariability

More Related Videos

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
07:56

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS

Published on: June 24, 2025

688
Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.6K

Related Experiment Videos

Last Updated: Dec 15, 2025

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

15.6K
Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
07:56

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS

Published on: June 24, 2025

688
Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.6K

Area of Science:

  • Neuroscience
  • Psychology
  • Mental Health

Background:

  • Negative affect (NA) influences emotional experiences like anxiety and depression.
  • NA has both trait and state features impacting mental and physiological health.
  • Understanding NA's shared foundation is key for emotional disorders.

Purpose of the Study:

  • Investigate the relationship between negative affect (NA) and brain functional connectivity (FC).
  • Differentiate how stable versus variable FCs relate to trait and state NA.
  • Explore the neural underpinnings of neuroticism and NA fluctuations.

Main Methods:

  • Calculated principal component for NA levels from five measures.
  • Identified resting-state functional connectivities (FCs) related to NA using correlation analysis in two independent samples.
  • Categorized NA-related FCs into high- and low-variability groups to predict trait and state NA.

Main Results:

  • Low-variability FCs, mainly within the default mode network (DMN), predicted trait NA.
  • High-variability FCs, involving multiple networks, predicted changes in state NA.
  • FCs demonstrated distinct predictive power for trait versus state NA.

Conclusions:

  • Trait and state NA are differentially predicted by stable and variable spontaneous FCs.
  • Distinct attentional processes and emotion regulatory mechanisms underlie these FC-NA relationships.
  • Findings enhance the understanding of negative affect and its role in emotional health.