Brain Connectivity Patterns in Smoking and Drinking Behaviors

Encompassing functional connectivity data from 831 participants in the Human Connectome Project, with findings cross-validated in an independent longitudinal dataset of 1,176 participants from the IMAGEN study. It examines differences in brain connectivity associated with smoking and drinking behaviors, linking them to specific brain regions like the orbitofrontal cortex. The data connects functional connectivity patterns in adolescence to future substance use at age 19.

Use Cases

• Analyze the relationship between decreased functional connectivity in the lateral orbitofrontal cortex and smoking behavior in 831 participants.
• Investigate associations between increased functional connectivity in reward-related systems like the medial orbitofrontal cortex and high-amount drinking.
• Examine the link between impulsivity and functional connectivity patterns in the orbitofrontal cortex across smoking and drinking groups.
• Use longitudinal data from the IMAGEN study to validate connectivity patterns predictive of future smoking or drinking at age 19.
• Compare functional connectivity in the precuneus and inferior frontal gyrus between smokers and non-smokers within the general population sample.

Strengths

• Data from a substantial sample of 831 participants from the general population.
• Findings are cross-validated in an independent longitudinal dataset with 1,176 participants.
• Links specific brain regions (e.g., lateral orbitofrontal cortex, medial orbitofrontal cortex) to behavioral outcomes.

Limitations

• Specific column structure, data formats, and exact sample sizes for derived measures are unknown.
• The dataset's primary focus is on specific brain-behavior correlations, which may limit broader neuroimaging applications.
• Geographic and demographic details of the participant pools are not fully specified.

Provenance

Source

Human Connectome Project and IMAGEN study.

Collection Method

Analysis of resting state functional connectivity from neuroimaging data.

Time Range

Includes longitudinal data tracking participants from age 14 to 19.

Freshness

Last updated in June 2020.

Geography

General population sample; specific geography not detailed beyond tag 'Shanghai'.