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

Brain Imaging01:14

Brain Imaging

314
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
314

You might also read

Related Articles

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

Sort by
Same author

Multimodal subspace independent vector analysis effectively captures latent relationships between brain structure and function.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

High-resolution MRI evidence for age- and sex-related changes in hippocampal subfield volume during healthy aging.

GeroScience·2026
Same author

Spatiotemporal Decoding of Explore-Exploit Decisions in the Human Brain.

bioRxiv : the preprint server for biology·2026
Same author

Large-scale brain dynamics are organized by a directional coordination hierarchy.

bioRxiv : the preprint server for biology·2026
Same author

Structure-function coupling of large-scale cortical networks across the lifespan is spectrally specific.

Communications biology·2026
Same author

Modeling Complex Effects and Individual Variability in Multi-Paradigm fMRI with Nonlinear Mixed Models.

bioRxiv : the preprint server for biology·2026
Same journal

Whole-Embryo 3D Quantification Reveals Conserved Topological Design and Scaling of Germ Layers in Xenopus.

bioRxiv : the preprint server for biology·2026
Same journal

scRNA-seq and genomics analyses reveal key mechanisms of inverted papilloma-associated sinonasal squamous cell carcinoma malignant transformation.

bioRxiv : the preprint server for biology·2026
Same journal

M1C IS NECESSARY FOR DARAXONRASIB RESISTANCE OF NSCLC KRAS(G12C) MUTANT CELLS.

bioRxiv : the preprint server for biology·2026
Same journal

A human-specific genetic modifier reconfigures large-scale cortical network dynamics underlying behavioral performance.

bioRxiv : the preprint server for biology·2026
Same journal

<i>Staphylococcus aureus</i> uses a eukaryotic-like uridyltransferase to make UDP-GlcNAc for cell wall synthesis.

bioRxiv : the preprint server for biology·2026
Same journal

Dynamic redistribution of eIF4F controls cap-dependent translation initiation.

bioRxiv : the preprint server for biology·2026
See all related articles

Related Experiment Video

Updated: Sep 12, 2025

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.3K

Dynamic Inter-Modality Source Coupling Reveals Sex Differences in Children based on Brain Structural-Functional

A Kotoski1,2, S-L Wiafe1,3, J M Stephen4

  • 1Tri-Institutional Center for Translational Research in Neuroimaging and Data Science, Atlanta, GA, USA.

Biorxiv : the Preprint Server for Biology
|August 6, 2025
PubMed
Summary
This summary is machine-generated.

Males and females show distinct brain structure-function coupling patterns in children. This study used dynamic inter-modality source coupling (dIMSC) to reveal sex-specific differences in brain development.

Keywords:
Dynamic functional connectivitySex differencesStructure-function coupling

More Related Videos

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K
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

7.3K

Related Experiment Videos

Last Updated: Sep 12, 2025

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.3K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K
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

7.3K

Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Brain Imaging

Background:

  • Sex differences in brain development are well-documented in structure and function during childhood and adolescence.
  • Previous research identified sex-based variations in gray matter volume and network connectivity, impacting behavior and cognition.
  • Understanding how these sex differences manifest in the dynamic coupling between brain structure and function remains an open question.

Purpose of the Study:

  • To investigate the transient coupling between dynamic functional network connectivity (dFNC) and structural MRI (sMRI) gray matter volume over time in children.
  • To compare sex differences in dFNC-sMRI coupling across various brain regions.
  • To introduce and utilize dynamic inter-modality source coupling (dIMSC) for time-resolved structure-function analysis.

Main Methods:

  • Utilized data from the Adolescent Brain Cognitive Development (ABCD) study, focusing on children aged 9-11 years.
  • Employed Source-Based Morphometry (SBM) for structural MRI analysis and independent component analysis (ICA) to extract gray matter sources.
  • Computed dynamic functional network connectivity (dFNC) using a sliding window approach on resting-state fMRI data and calculated dIMSC by cross-correlating dFNC with SBM vectors.

Main Results:

  • Significant sex-specific coupling patterns were observed: males showed stronger positive coupling in the postcentral gyrus and precuneus.
  • Females exhibited stronger positive coupling in the inferior parietal lobule and middle frontal gyrus.
  • Additional sex differences were found in neutral and negative coupling, with distinct regional patterns for males and females.

Conclusions:

  • Findings suggest distinct sex-specific coupling in brain structure-function relationships, potentially reflecting unique organizational principles of functional networks and their structural underpinnings.
  • The dIMSC method provides a novel, time-resolved approach to analyze brain structure-function coupling, offering a valuable tool for studying neurodevelopmental processes.
  • This research highlights the importance of considering sex as a biological variable in understanding brain development and organization.