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

Testing and tracking in the UK: A dynamic causal modelling study.

Wellcome open research·2026
Same author

PsiConnect: Multimodal Neuroimaging of Context-Dependent Brain and Behaviour Dynamics under Psilocybin.

Scientific data·2026
Same author

Hierarchical Bayesian inference for community detection and connectivity of functional brain networks.

IEEE transactions on medical imaging·2026
Same author

Early detection of dementia with default-mode network effective connectivity.

Nature. Mental health·2026
Same author

Shape matters: Predicting Huntington's disease using progression modelling.

Computer methods and programs in biomedicine·2026
Same author

Mapping Regional Brain Aging in Huntington's Disease Using Structural Magnetic Resonance Imaging and Machine Learning.

Movement disorders : official journal of the Movement Disorder Society·2025

Related Experiment Video

Updated: Mar 20, 2026

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
14:21

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Published on: August 6, 2013

18.9K

Mapping Smoking Addiction Using Effective Connectivity Analysis.

Rongxiang Tang1, Adeel Razi2, Karl J Friston3

  • 1Department of Psychology, Washington University in St. Louis St. Louis, MO, USA.

Frontiers in Human Neuroscience
|May 21, 2016
PubMed
Summary
This summary is machine-generated.

Smoking addiction alters brain connectivity. Smokers show reduced directed information flow between posterior cingulate cortex (PCC) and medial prefrontal cortex (mPFC), impacting addiction mechanisms.

Keywords:
dynamic causal modeling (DCM)effective connectivity analysismedial prefrontal cortex (mPFC)posterior cingulate cortex (PCC)smoking addiction

More Related Videos

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
09:50

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke

Published on: February 12, 2015

11.7K
Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.9K

Related Experiment Videos

Last Updated: Mar 20, 2026

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
14:21

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Published on: August 6, 2013

18.9K
Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
09:50

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke

Published on: February 12, 2015

11.7K
Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.9K

Area of Science:

  • Neuroscience
  • Addiction Research

Background:

  • Prefrontal and parietal cortex, including the default mode network (DMN), are implicated in addiction.
  • Understanding effective connectivity in smoking addiction is crucial but remains largely unknown.

Purpose of the Study:

  • To characterize changes in effective connectivity among core brain regions in smoking addiction using resting-state fMRI.
  • To investigate the directed information flow between brain regions in smokers versus nonsmokers.

Main Methods:

  • Applied spectral dynamic causal modeling (spDCM) to resting-state fMRI data.
  • Analyzed effective connectivity changes in core brain regions associated with addiction.

Main Results:

  • Smokers exhibited reduced effective connectivity from the posterior cingulate cortex (PCC) to the medial prefrontal cortex (mPFC).
  • Reduced effective connectivity from the right inferior parietal lobule (RIPL) to the mPFC was observed in smokers.
  • Smokers showed increased self-inhibition within the PCC and reduced neuronal fluctuation amplitude driving the mPFC.

Conclusions:

  • spDCM can differentiate functional architectures between smokers and nonsmokers.
  • Findings provide insight into brain mechanisms underlying smoking addiction.
  • Future interventions should target mPFC-PCC-IPL circuits for addiction amelioration.