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

You might also read

Related Articles

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

Sort by

Same author

TBC1D2B-related Neurodevelopmental Disorder with Gingival Overgrowth and Movement Disorders: A Case Series and Literature Review.

Journal of movement disorders·2026

Same author

Hepatitis B Infection-Associated Aortoarteritis.

Annals of Indian Academy of Neurology·2026

Same author

Levodopa responsive childhood-onset generalized dystonia with diaphragmatic involvement associated with an SPTBN2 variant.

Parkinsonism & related disorders·2026

Same author

Clinical and Genetic Characteristics of SCA27B: A Global Systematic Review and Meta-Analysis.

Cerebellum (London, England)·2026

Same author

"Cingulate Island" Sign in a Patient with Reversible Parkinsonism due to a Portosystemic Shunt.

Annals of Indian Academy of Neurology·2026

Same author

Expanding the spectrum of H3K27-altered gliomas: Hemispheric cases with midline epigenetic signatures.

Annals of diagnostic pathology·2026

Same journal

Embracing intra-class heterogeneity for semi-supervised medical image segmentation: From diversity to precision.

Medical image analysis·2026

Same journal

Real-time patient-specific microwave ablation zone prediction via a unified bioheat solver and MRI-informed perturbation learning.

Medical image analysis·2026

Same journal

Generative morphodynamic forecasting enables robust zero-shot volumetric medical segmentation.

Medical image analysis·2026

Same journal

ContiMorph: An unsupervised learning framework for cardiac motion tracking with time-continuous diffeomorphism.

Medical image analysis·2026

Same journal

MedP-CLIP: Medical CLIP with region-aware prompt integration.

Medical image analysis·2026

Same journal

Multi-organ guided diagnosis of mild cognitive impairment via hierarchical alignment and knowledge distillation.

Medical image analysis·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 23, 2026

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

Multivariate brain network graph identification in functional MRI.

Priya Aggarwal¹, Anubha Gupta¹, Ajay Garg²

¹Signal processing and Bio-medical Imaging Lab, Department of Electronics and Communication Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-D), India.

Medical Image Analysis

|September 4, 2017

Summary

This summary is machine-generated.

We introduce Multivariate Vector Regression-based Connectivity (MVRC), a novel method for identifying functional brain networks. MVRC efficiently reveals brain network structures comparable to existing techniques, offering significant speed improvements.

Keywords:

Elastic net Functional MRI Functional connectivity Resting-state brain networks Time series analysis

More Related Videos

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

Basics of Multivariate Analysis in Neuroimaging Data

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

Related Experiment Videos

Last Updated: Feb 23, 2026

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

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

Basics of Multivariate Analysis in Neuroimaging Data

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

Area of Science:

Neuroscience
Computational Neuroscience
Network Science

Background:

Functional brain networks are crucial for understanding brain function.
Existing methods for network identification have limitations in accuracy and computational efficiency.

Purpose of the Study:

To develop a novel multivariate approach for functional brain network identification.
To enhance the accuracy and speed of brain network analysis.

Main Methods:

Developed Multivariate Vector Regression-based Connectivity (MVRC) for simultaneous regression of regional time series.
Constructed adjacency matrices and applied modularity for community detection.
Compared MVRC against Pearson correlation and Multivariate Adaptive Sparse Representation (ASR).

Main Results:

MVRC successfully identified functional brain networks consistent with existing literature on simulated and real fMRI data.
MVRC demonstrated significant speed advantages, being 650-750 times faster than ASR for a 90-node network.

Conclusions:

MVRC is an effective and computationally efficient method for functional brain network identification.
The approach offers a promising alternative for analyzing complex brain connectivity patterns.