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

Betrayal and unfairness are linked through insula-valuation network dynamics.

bioRxiv : the preprint server for biology·2026
Same author

Differences in other-directed emotion regulation tracks connectivity between amygdala and prefrontal regions during fairness decisions.

bioRxiv : the preprint server for biology·2026
Same author

Fraud in the Age of AI: Commentary on "The Scammers' Psychological Warfare".

Psychological science in the public interest : a journal of the American Psychological Society·2026
Same author

Association of Air Pollution and Socioeconomic Deprivation with Depression and Pain.

International journal of environmental research and public health·2026
Same author

Contributions of default mode network to subjective valuation and maladaptive decision making.

Current opinion in behavioral sciences·2026
Same author

Sequential information preferences in uncertain decision making.

Journal of experimental psychology. General·2026

Related Experiment Video

Updated: May 1, 2026

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

9.5K

Characterizing individual differences in functional connectivity using dual-regression and seed-based approaches.

David V Smith1, Amanda V Utevsky2, Amy R Bland3

  • 1Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA; Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA.

Neuroimage
|March 26, 2014
PubMed
Summary
This summary is machine-generated.

Males and females show distinct brain connectivity patterns, particularly in visual, auditory, and frontal-parietal networks. These sex differences in functional connectivity are robust and necessitate controlling for sex in neuroscience research.

Keywords:
Dual-regression analysisFunctional connectivityIndependent component analysisIndividual differencesSeed-based analysisSplit-sample validation

More Related Videos

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.3K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

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

Published on: August 5, 2014

17.3K

Related Experiment Videos

Last Updated: May 1, 2026

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

9.5K
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.3K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

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

Published on: August 5, 2014

17.3K

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • Inter-individual variability in brain connectivity is a key challenge in neuroscience.
  • Sex differences represent a significant source of this variability, impacting functional brain properties.

Purpose of the Study:

  • To investigate sex differences in resting-state functional connectivity (FC) using network-based approaches.
  • To compare the efficacy of dual-regression analysis against traditional seed-based FC methods in detecting individual differences.

Main Methods:

  • Utilized two resting-state fMRI datasets (N=188) analyzed with probabilistic spatial independent component analysis (ICA).
  • Employed dual-regression analysis to estimate voxel-wise FC for resting-state networks (RSNs) at the participant level.
  • Controlled for potential confounds including head motion, data quality, brain volume, and hormone levels.

Main Results:

  • Identified significant sex differences in FC patterns across multiple RSNs, including visual, auditory, and right frontoparietal networks.
  • Replicated findings across both independent datasets, demonstrating robustness.
  • Dual-regression FC analysis proved more sensitive to inter-individual variability than seed-based approaches.

Conclusions:

  • Robust neural differences exist between males and females in functional brain connectivity.
  • Sex should be controlled for in neuroscience studies investigating individual differences.
  • Network-based modeling is crucial for accurately studying functional connectivity variability.