Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Introduction to Personality Psychology

Introduction to Personality Psychology

Personality encompasses a set of enduring traits and behavioral patterns that define how individuals think, feel, and interact, ultimately shaping their unique identities. The concept of personality has deep historical roots, deriving from the Latin term "persona," which means "mask." This term initially referred to the roles played by actors in ancient theater, signifying the different facets individuals display in various contexts.
Early Theories of Personality
The study of...

You might also read

Related Articles

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

Sort by

Same author

Functional Ultrasound Imaging in Simulated Brain State Analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same author

A Deep Learning Framework for Multi-Source EEG Localization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same author

When losing hurt together: investigating the role of Empathy during a card game by EEG Hyperscanning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same author

Big multiple sclerosis data network: novel modelling approaches for real-world data analysis.

Journal of neurology·2025

Same author

Uniparental isodisomy of chromosome 1 involving NPHS2 in steroid-resistant nephrotic syndrome with renal failure.

European journal of medical genetics·2025

Same author

Radiomics across modalities: a comprehensive review of neurodegenerative diseases.

Clinical radiology·2025

Search research articles

Related Experiment Video

Updated: Feb 20, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Dynamical brain connectivity estimation using GARCH models: An application to personality neuroscience.

R Riccelli, L Passamonti, A Duggento

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|October 25, 2017

Summary

Dynamic brain connectivity, estimated using a novel GARCH-based method, reveals personality differences. The trait of Openness uniquely impacts brain network variability, offering new insights beyond static connectivity.

More Related Videos

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Related Experiment Videos

Last Updated: Feb 20, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Area of Science:

Neuroscience
Cognitive Science
Data Science

Background:

The human brain's functional connectome is dynamic, with time evolution crucial for function and disease.
Conventional sliding window methods for dynamic functional MRI (fMRI) connectivity have limitations in time resolution and window selection.
Generalized autoregressive conditional heteroscedastic (GARCH) models offer advanced dynamic covariance modeling for fMRI data.

Purpose of the Study:

To apply a GARCH-based dynamic conditional correlation (DCC) method to estimate dynamical brain connectivity.
To investigate the relationship between dynamic functional connectivity patterns and personality traits from the five-factor model using the Human Connectome Project (HCP) dataset.
To explore how personality traits correlate with variations in brain network dynamics.

Main Methods:

Utilized the dynamic conditional correlation (DCC) method, a GARCH-based approach, for estimating dynamic functional connectivity.
Analyzed the Human Connectome Project (HCP) dataset, focusing on functional MRI data.
Correlated dynamic connectivity measures with scores from the five-factor model of personality.

Main Results:

The trait of Openness was significantly associated with differences in the time-variability of several inter-network functional connections.
No significant differences were found in the absolute median connectivity related to Openness.
The DCC method provided novel insights into dynamic functional connectivity not captured by static measures.

Conclusions:

Dynamic brain connectivity analysis using DCC reveals personality-specific patterns in neural dynamics.
The trait of Openness is linked to variations in brain network flexibility, not overall connection strength.
This GARCH-based DCC approach enhances the understanding of neurophysiological underpinnings of complex human behaviors, offering advantages over static connectivity analyses.