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Characterization of the Brain Functional Architecture of Psychostimulant Withdrawal Using Single-Cell Whole-Brain
Adam Kimbrough1,2,3, Marsida Kallupi1,3, Lauren C Smith1,3
1School of Medicine, Department of Psychiatry, University of California San Diego, La Jolla, CA 92093.
Psychostimulant withdrawal alters brain networks. Reduced brain modularity and a shift to subcortical networks, not specific regions, may be the common pathway for withdrawal symptoms.
Area of Science:
- Neuroscience
- Systems Neuroscience
- Computational Neuroscience
Background:
- Withdrawal behaviors involve numerous brain regions, but a unifying pathway remains unclear.
- Understanding the brain's functional architecture during withdrawal is crucial for addiction research.
Purpose of the Study:
- To investigate the common neural pathways underlying psychostimulant withdrawal.
- To identify drug-dependent remodeling of brain functional architecture during withdrawal.
Main Methods:
- Administered nicotine, cocaine, or methamphetamine via osmotic minipumps to male C57BL/6J mice for one week.
- Performed whole-brain imaging of neural activity during withdrawal periods (8-12 hours post-drug removal).
- Utilized hierarchical clustering and graph theory to analyze brain functional networks.
Main Results:
- Psychostimulant withdrawal significantly decreased network modularity.
- A shift from cortical-driven to subcortical-driven networks was observed.
- The number of total hub brain regions decreased during withdrawal.
Conclusions:
- Psychostimulant withdrawal induces drug-dependent changes in brain functional architecture.
- Decreased modularity and subcortical network shifts may represent a common pathway for psychostimulant withdrawal.
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