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Variation in Brain Subcortical Network Topology Between Men With and Without PE: A Diffusion Tensor Imaging Study.

Jianhuai Chen1, Jie Yang2, Xinfei Huang1

  • 1Department of Andrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.

The Journal of Sexual Medicine
|November 19, 2019
PubMed
Summary

Premature ejaculation (PE) involves altered brain network patterns. This study identified specific brain region differences in men with PE, offering potential biomarkers for diagnosis.

Keywords:
Cortico-Subcortical NetworkDiffusion Tensor ImagingGraph Theoretical AnalysisPremature Ejaculation

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Area of Science:

  • Neuroscience
  • Male Sexual Dysfunction Research
  • Medical Imaging Analysis

Background:

  • Premature ejaculation (PE) is a common male sexual dysfunction.
  • Previous research suggests sympathetic nervous system and penile sensory pathway abnormalities.
  • Neural mechanisms underlying PE require further investigation.

Purpose of the Study:

  • To investigate differences in brain white matter structural network topology between men with PE and healthy controls (HC).
  • To determine if network properties can differentiate PE patients from HCs.

Main Methods:

  • Diffusion tensor imaging (DTI) data collected from 32 PE patients and 35 HC participants.
  • Brain white matter structural networks reconstructed using DTI data.
  • Graph-theoretical methods applied to calculate nodal measures and identify hub regions.

Main Results:

  • Patients with PE exhibited altered network topology in specific cortical regions (e.g., superior frontal gyrus, inferior frontal gyrus) and subcortical structures (insula, caudate nucleus).
  • Key differences included changes in network strength, global efficiency, and shortest path length.
  • Nine PE-specific hub regions were identified, with 7 cortical and 2 subcortical.

Conclusions:

  • Altered cortico-subcortical network topology is associated with PE.
  • These network changes may serve as potential biomarkers for differentiating individuals with PE from HCs.
  • Further longitudinal studies are needed to explore causal relationships.