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Updated: Jul 10, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Causal links between brain multimodal features (morphometry, metabolomics, networks) and erectile dysfunction:
Li Xie1,2, Changjing Wu3, Fudong Fu4
1Department of Urology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Background:
Integrating brain multimodal features (e.g. structural, functional, and cerebrospinal fluid metabolomic data) offers a promising approach to elucidate the neural mechanisms underlying erectile dysfunction (ED).
Methods:
Using two-sample Mendelian randomization, we assessed causal effects of 83 whole-brain morphological, 191 resting-state fMRI, and 338 cerebrospinal fluid metabolite phenotypes on ED. A p-value < 0.05 indicated statistical significance.
Results:
Reduced volumes in the left and right accumbens and enlarged volumes in the left pars opercularis and right putamen were associated with increased ED risk. Increased connectivity between occipital/precuneus and superior frontal gyrus (default/executive networks) elevated ED risk, while connectivity between postcentral/precentral and subcortical regions (motor/subcortical-cerebellum networks) reduced risk. Several metabolites were identified: elevated 4-Methylcatechol sulfate, adenine, gulonate, pyroglutamine, and thioproline increased ED risk, while higher cortisone, malate, phosphate, and X-21733 decreased risk.
Conclusion:
We identified four morphological, two functional connectivity, and nine metabolic causal relationships with ED, enhancing understanding and suggesting novel therapeutic targets.
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