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Investigating Bidirectional Causal Relationships Between Imaging-Derived Brain Phenotypes and Sedative-Hypnotic Use
Liqin Lu1, Guoxin Zhuang1, Jue Deng2
1Department of Forensic Science, Fujian Police College, Fuzhou, China.
Addiction Biology
|May 28, 2026
Summary
Sedative-hypnotic use disorder (SHUD) susceptibility is linked to specific brain structure and function variations. This study identifies neurobiological markers in temporal-limbic and salience systems, offering insights into SHUD
Area of Science:
- Neuroimaging Genetics
- Psychiatric Disorders
- Addiction Research
Background:
- Sedative-hypnotic use disorder (SHUD) poses significant public health challenges due to high abuse potential.
- The neurobiological underpinnings of individual susceptibility to SHUD are not well understood.
Purpose of the Study:
- To investigate the causal relationship between brain imaging-derived phenotypes (IDPs) and SHUD risk using a large-scale, bidirectional Mendelian randomization (MR) study.
- To identify specific brain structural and functional characteristics associated with SHUD susceptibility.
Main Methods:
- Utilized genome-wide association study (GWAS) summary statistics for 3,935 brain IDPs from UK Biobank and SHUD data from FinnGen.
- Employed inverse-variance weighted (IVW) method with sensitivity analyses (MR-Egger, weighted median, MR-PRESSO) for causal effect estimation.
- Applied Benjamini-Hochberg false discovery rate (FDR) correction for multiple testing.
Main Results:
- Identified 34 brain IDPs causally associated with SHUD risk.
- Increased SHUD susceptibility linked to higher cortical thickness in temporal regions, altered white-to-grey matter contrast in insula and parahippocampal gyrus.
- Reduced risk associated with larger brainstem volume, better white matter integrity in the cingulum, and specific functional connectivity patterns (salience network, visual-somatomotor networks).
Conclusions:
- Established a causal link between SHUD susceptibility and specific brain structural and functional traits, particularly involving the temporal-limbic and salience systems.
- Findings provide novel mechanistic insights into the neurobiology of SHUD.
- Identified potential neuroimaging biomarkers for risk stratification and therapeutic target development in SHUD.
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