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

You might also read

Related Articles

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

Sort by
Same author

Role of PANoptosis in cancer: Double-edged sword effects and targeted therapies.

International immunopharmacology·2026
Same author

Pyroptosis as a double-edged sword in colorectal cancer: Molecular mechanisms and therapeutic opportunities.

Apoptosis : an international journal on programmed cell death·2026
Same author

Detecting low-amplitude biomarker activations via decomposition of complex-valued fMRI data with collaborative phase and magnitude sparsity.

Medical image analysis·2025
Same author

A new transfer entropy method for measuring directed connectivity from complex-valued fMRI data.

Frontiers in neuroscience·2024
Same author

Estimation of complete mutual information exploiting nonlinear magnitude-phase dependence: Application to spatial FNC for complex-valued fMRI data.

Journal of neuroscience methods·2024
Same author

A Millimeter-Wave Broadband Multi-Mode Substrate-Integrated Gap Waveguide Traveling-Wave Antenna with Orbit Angular Momentum.

Sensors (Basel, Switzerland)·2024
Same journal

Development and Standardization of a Simple Zebrafish Larval Model of Global Hypoxia-Reoxygenation: Recapitulating Key Pathological Features Associated with Cerebral Ischemia-Reperfusion Injury.

Journal of neuroscience methods·2026
Same journal

Metal Neurotoxicity assessment: a new imaging and analysis pipeline for primary neurons in co-cultures.

Journal of neuroscience methods·2026
Same journal

Corrigendum to "Human peripheral nerve xenografts and rat peripheral nerve allografts implanted to the striatum: Methodology and initial findings of cell-based therapy" [J. Neurosci. Methods 434 (2026) 110825].

Journal of neuroscience methods·2026
Same journal

Sombor-based graph-theoretic framework for the structural characterization of neuro-metabolic organic acids.

Journal of neuroscience methods·2026
Same journal

Pupil-DLC: An open-source deep learning pipeline for scalable, marker-less tracking of pupil dynamics across conscious and unconscious states.

Journal of neuroscience methods·2026
Same journal

Time as the language of Behavior: events, sequences, patterns and meanings.

Journal of neuroscience methods·2026
See all related articles

Related Experiment Video

Updated: Jan 11, 2026

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

Detecting abnormal dynamic patterns of phase changes in schizophrenia from complex-valued fMRI data.

Yan-Wei Niu1, Qiu-Hua Lin1, Jia-Yang Song1

  • 1School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China.

Journal of Neuroscience Methods
|November 13, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel framework to analyze phase polarity dynamics in functional MRI (fMRI) data, revealing distinct patterns in schizophrenia patients. These findings offer new insights into brain network alterations in mental disorders.

Keywords:
Complex-valued fMRI dataPhase polarity dynamicsPolarity change patternsSchizophreniaSpatial source phase

More Related Videos

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.1K
Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia
13:08

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

9.3K

Related Experiment Videos

Last Updated: Jan 11, 2026

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
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.1K
Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia
13:08

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

9.3K

Area of Science:

  • Neuroimaging
  • Functional Magnetic Resonance Imaging (fMRI)
  • Brain Network Analysis

Background:

  • Magnitude-only fMRI data analysis has limitations in detecting psychiatric alterations.
  • Source phase polarity dynamics from complex-valued fMRI data offer unexplored insights into brain networks.

Purpose of the Study:

  • To develop and validate a framework for analyzing source phase polarity dynamics in complex-valued fMRI data.
  • To investigate group differences in dynamic phase polarity patterns between schizophrenia patients and healthy controls.

Main Methods:

  • Extracted dynamic source phase maps using independent component analysis (ICA) from sliding-window complex-valued fMRI data.
  • Modeled voxel-wise polarity changes and clustered model parameters to form three dynamic phase polarity patterns.
  • Utilized complex-valued fMRI data from schizophrenia patients and healthy controls for framework testing.

Main Results:

  • Identified distinct dynamic patterns of phase polarity changes, with rapid changes concentrated in central activation map regions.
  • Observed significant group differences in cluster centroids and sub-region voxel counts between patients and controls.
  • Demonstrated a positive correlation between polarity changes and activation magnitude, with phase polarity showing unique sensitivity to disease alterations.

Conclusions:

  • The proposed framework reveals abnormal dynamic phase patterns in schizophrenia.
  • Findings provide novel insights into the neural mechanisms underlying mental disorders.
  • Highlights the potential of complex-valued fMRI and phase polarity dynamics for psychiatric research.