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

Reason and Intuition01:37

Reason and Intuition

6.8K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.8K
Decision Making01:20

Decision Making

216
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
216
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.6K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.6K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.1K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.1K
Brain Waves01:23

Brain Waves

2.0K
Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:
2.0K

You might also read

Related Articles

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

Sort by
Same journal

Impact of two brief behavioral theory-driven professional training programs on fitness center attendance: protocol for pragmatic controlled intervention with random allocation.

Frontiers in psychology·2026
Same journal

Stress coping strategies in parents of children with central coordination disorders undergoing Vojta therapy: a two-month prospective observational study.

Frontiers in psychology·2026
Same journal

Theoretical justifications for using word-based stimuli in the implicit association test for physical activity.

Frontiers in psychology·2026
Same journal

Environmental psychology as the science of context: grand challenges for the next decade.

Frontiers in psychology·2026
Same journal

Bridging classical wisdom and modern pedagogy: pre-service teachers' cognitive engagement with Kutadgu Bilig.

Frontiers in psychology·2026
Same journal

Emotion regulation in mother-child dyads is associated with interbrain synchrony during imagined shared emotional experiences.

Frontiers in psychology·2026

Related Experiment Video

Updated: Sep 4, 2025

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

2.7K

Brainwave Phase Stability: Predictive Modeling of Irrational Decision.

Zu-Hua Shan1

  • 1Business School, Central South University, Changsha, China.

Frontiers in Psychology
|July 18, 2022
PubMed
Summary

This study introduces a brainwave-interference model for decision-making, linking brain activity to choices. It shows that seemingly irrational decisions are predictable based on brainwave phase stability, offering new insights into decision origins.

Keywords:
brainwaveinterferenceirrational decisionphase stabilitypredictive modelingquantum cognition

More Related Videos

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
08:24

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

795
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.2K

Related Experiment Videos

Last Updated: Sep 4, 2025

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

2.7K
The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
08:24

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

795
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.2K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Decision Science

Background:

  • Bridging the gap between neurophysiological and psychological/behavioral studies is crucial for understanding decision-making.
  • Existing models often fail to integrate brain activity with behavioral outcomes effectively.

Purpose of the Study:

  • To propose a novel predictive model for decision-making that integrates neurophysiological (brainwave) data with behavioral outcomes.
  • To establish a mathematical and empirical framework for understanding how brainwave interference influences decision probabilities.

Main Methods:

  • Developed a brainwave-interference decision-making model based on the principle of electromagnetic wave interference.
  • Empirically tested the model using event-related potential (ERP) data and behavioral data from various decision-making tasks (categorization, gambling, prisoner's dilemma).
  • Analyzed phase stability of brainwaves across different decision contexts and validated the model's predictive accuracy.

Main Results:

  • Confirmed phase stability of brainwaves in decision-making contexts using ERP data.
  • Demonstrated phase stability across diverse behavioral decision tasks, including categorization, gambling, and prisoner's dilemma.
  • Showed that 'irrational' decisions are quantitatively predictable from the phases of extreme choices, with model fitting showing low deviations (<10°) and errors (<0.06).

Conclusions:

  • The brainwave-interference decision-making model provides a unified framework for neurophysiological and behavioral research.
  • The model offers physiological and psychological connections, unlike purely mathematical approaches, and possesses predictive capabilities.
  • This approach holds promise for exploring the fundamental origins of decision-making by integrating brain activity and behavior.