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

Trait and State Self-Esteem02:08

Trait and State Self-Esteem

10.8K
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). 
10.8K
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

139
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...
139

You might also read

Related Articles

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

Sort by
Same author

EEG Microstates Signatures of rTMS Response Over the lDLPFC: A Band-Specific Analysis.

Brain topography·2025
Same author

Social functioning predicts individual changes in EEG microstates following intranasal oxytocin administration: A double-blind, cross-over randomized clinical trial.

Psychophysiology·2024
Same author

Correction: EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis.

Brain topography·2023
Same author

Personality Moderates Intra-Individual Variability in EEG Microstates and Spontaneous Thoughts.

Brain topography·2023
Same author

EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis.

Brain topography·2023
Same author

Spontaneous thought and microstate activity modulation by social imitation.

NeuroImage·2022

Related Experiment Video

Updated: Jun 24, 2025

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans
04:27

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans

Published on: March 15, 2019

11.1K

Valence-specific EEG microstate modulations during self-generated affective states.

Karina Nazare1,2, Miralena I Tomescu1,3

  • 1CINETic Center, Department of Research and Development, National University of Theatre and Film "I.L. Caragiale", Bucharest, Romania.

Frontiers in Psychology
|June 10, 2024
PubMed
Summary
This summary is machine-generated.

Brain network dynamics during self-generated affective states show distinct patterns for positive and negative emotions. This research on electroencephalography (EEG) microstates offers insights into affective regulation and potential biomarkers for mood disorders.

Keywords:
EEG microstatesnegative affectpositive affectself-generated affectvalence

More Related Videos

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.2K
Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation
00:08

Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation

Published on: August 20, 2019

14.3K

Related Experiment Videos

Last Updated: Jun 24, 2025

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans
04:27

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans

Published on: March 15, 2019

11.1K
Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.2K
Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation
00:08

Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation

Published on: August 20, 2019

14.3K

Area of Science:

  • Neuroscience
  • Affective Science
  • Computational Psychiatry

Background:

  • Understanding the neural basis of affective states is crucial for treating mood and anxiety disorders.
  • Affective regulation involves complex temporal dynamics of brain networks.
  • Electroencephalography (EEG) microstate analysis provides a method to study these dynamics.

Purpose of the Study:

  • To explore the temporal dynamics of brain networks during self-generated positive and negative affective states.
  • To identify valence-specific mechanisms of spontaneous affective regulation.
  • To inform the development of biomarkers for mood and anxiety disorders.

Main Methods:

  • Utilized EEG microstate analysis.
  • Investigated temporal dynamics of five distinct microstates.
  • Compared baseline resting state with self-generated positive and negative affective states.

Main Results:

  • Noteworthy modulations in microstate dynamics were observed during affective states.
  • Negative valence states showed increased attention-associated microstates and decreased salience-related microstates.
  • Positive valence states exhibited more visual/autobiographical memory microstates and fewer auditory/language microstates.

Conclusions:

  • EEG microstate analysis reveals distinct neurodynamic patterns in affective regulation.
  • Valence-specific mechanisms of affective regulation were identified.
  • Findings have implications for developing biomarkers for mood and anxiety disorders.