Brain networks underlying sexual dysfunction in men/women with UCPPS
Given that sexual dysfunction is a feature of urologic chronic pelvic pain in a subset of patients (e.g., pain with ejaculation or intercourse), the value of sexual reward (and potentially other natural rewards) may be altered in these individuals. By identifying brain circuits unique to individuals with sexual dysfunction and linking these circuits to severity of sexual dysfunction, anxiety, depression, and other motivational measures, we may gain a deeper understanding of neural mechanisms that maintain these conditions.
Neural Networks that Mediate Vulvar Pain Comorbidity in women with Bladder Pain Syndrome/Interstitial Cystitis
This MAPP Research Network study will explore neural correlates of pelvic pain comorbidity using resting state fMRI, T1 anatomical, and diffusion tensor data.
Mechanism-Based Classification of Vulvar Pain Symptoms
The pain physiology underlying chronic vulvar pain is poorly understood and may reflect a combination of peripheral (primary afferent neuron), spinal, and brain contributions. Psychophysiological and brain imaging data will be combined to identify phenotypically distinct subgroups of women with vulvar pain.
Who Fails to Improve with Spermatic Cord Microdenervation Surgery? Pre-Surgical Symptom-Based Prediction of Treatment Non-Response
Strong evidence supports the efficacy of microdenervation of the spermatic cord (MDSC) in alleviating pain in a subset of men with chronic scrotal content pain, yet it remains a clinical challenge to predict which men will optimally benefit from surgery. In theory, response to spermatic cord blocks (SCB) should identify men who will benefit from MDSC; in practice, highly variable SCB responses do not consistently predict MDSC pain relief. Using retrospective chart review of 131 male patients who underwent diagnostic SCB prior to MDSC, mechanism-based classifications and symptoms and data-driven methods will be used to identify pre-surgical symptom patterns, post-surgical pain intensity, and follow-up reports that best characterize non-responders.