Search research articles

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Retrospective Analysis of Vesicourethral-Anastomosis Stricture/Urethral Stricture After Robotic-Assisted Laparoscopic Radical Prostatectomy With and Without Radiotherapy.

International journal of urology : official journal of the Japanese Urological Association·2026

Same author

Quality Assurance through EndoCert in Revision Hip and Knee Arthroplasty.

Zeitschrift fur Orthopadie und Unfallchirurgie·2025

Same author

Exploring the link between waking gamma and sleep delta power in healthy volunteers and individuals with treatment-resistant depression.

Journal of affective disorders·2025

Same author

REM density predicts rapid antidepressant response to ketamine in individuals with treatment-resistant depression.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology·2025

Same author

Reasonability of Frequent Laboratory Analyses during Therapy with Nivolumab and Nivolumab+Ipilimumab in Patients with Advanced or Metastatic Renal Cell Carcinoma during the Phase 2 Clinical Trial TITAN-RCC.

Cancers·2024

Same author

Association between prenatal glucocorticoid exposure and adolescent neurodevelopment: An observational follow-up study.

Acta obstetricia et gynecologica Scandinavica·2024

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

Search research articles

Related Experiment Video

Updated: Jan 10, 2026

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

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

Published on: October 6, 2023

Advanced Insights into Functional Brain Connectivity by Combining Tensor Decomposition and Partial Directed

Britta Pester¹, Carolin Ligges², Lutz Leistritz¹

¹Bernstein Group for Computational Neuroscience Jena, Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Friedrich Schiller University Jena, Bachstraße 18, Jena, Germany.

|June 6, 2015

Summary

We developed a new method to simplify complex brain network analysis. This technique decomposes time-variant partial directed coherence (tvPDC) results, improving interpretability and enabling easier subject comparisons for better understanding of neural interactions.

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Related Experiment Videos

Last Updated: Jan 10, 2026

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

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

Published on: October 6, 2023

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Area of Science:

Neuroscience
Signal Processing
Computational Biology

Background:

Functional connectivity quantification in physiological networks often uses time-variant partial directed coherence (tvPDC).
tvPDC offers directionality, time variance, and frequency selectivity for analyzing complex brain networks.
The high dimensionality of tvPDC results poses significant interpretability challenges.

Purpose of the Study:

To propose a novel method for decomposing multi-dimensional tvPDC results.
To enhance the interpretability of tvPDC findings in brain network analysis.
To facilitate comparisons across subjects and uncover inherent interaction patterns.

Main Methods:

Decomposition of multi-dimensional tvPDC results into a sum of rank-1 outer products.
Data condensation technique for advanced interpretation of network dynamics.
Application to simulated data and real EEG data from a visual evoked potentials experiment.

Main Results:

The proposed decomposition method significantly condenses tvPDC data.
Enables uncovering inherent interaction patterns within neuronal subsystems.
Facilitates easier subject comparison through summarized results and subject-specific coefficients.

Conclusions:

The rank-1 outer product decomposition offers a powerful approach to interpret complex tvPDC data.
This method enhances the understanding of dynamic functional connectivity in the brain.
Demonstrated applicability to both simulated and real neurophysiological data.