Functional MRI in neuro-urology: A narrative review.

Neuro-imaging has given urologists a new tool to investigate the neural control of the lower urinary tract. Using functional magnetic resonance imaging (fMRI), it is now possible to understand which areas of the brain contribute to the proper function of the storage and voiding of the lower urinary tract. This field of research has evolved from simple anatomical descriptions to elucidating the complex micturition network. A keyword search of the Medline database was conducted by two reviewers for relevant studies from January 1, 2010, to August 2022. Of 2047 peer-reviewed articles, 49 are included in this review. In the last decade, a detailed understanding of the brain-bladder network has been described, elucidating a dedicated network, as well as activated areas in the brainstem, cerebellum, and cortex that share reproducible connectivity patterns. Research has shown that various urological diseases can lead to specific changes in this network and that therapies used by urologists to treat lower urinary tract symptoms (LUTS) are also able to modify neuronal activity. This represents a set of potential new therapeutic targets for the management of the lower urinary tract symptoms (LUTS). fMRI technology has made it possible to identify subgroups of responders to various treatments (biofeedback, anticholinergic, neuromodulation) and predict favourable outcomes. Lastly, this breakthrough understanding of neural control over bladder function has led to treatments that directly target brain regions of interest to improve LUTS. One such example is the use of non-invasive transcranial neuromodulation to improve voiding symptoms in individuals with multiple sclerosis.

What clinical parameter strongly associates white matter tract alterations in a Multiple Sclerosis population with voiding dysfunction? A prospective exploratory study.

Purpose: To correlate clinical and urodynamics parameters in Multiple Sclerosis patients (MS) presenting Lower Urinary Tract Symptoms (LUTS) with both Expanded Disability Status Scale (EDSS) and changes in white matter integrity as seen on Diffusion Tensor Images (DTI). LUTS worsen throughout MS, as does lesion burden. We investigated which symptoms correlated best with structural changes in white matter structure. Materials and Methods: Ten adult women >18 years were recruited with stable MS for ≥3 months and voiding dysfunction defined as %PVR/BV > 20%. Patients participated in a clinical Urodynamic Study (UDS) and completed several questionnaires (i.e., HAM, AUASS, NBS-QoL). DTI images were acquired using a 7-Tesla Siemens MAGNETOM Terra MRI scanner. DTI maps were constructed, and individual patients were co-registered with the ICBM-DTI-81 white matter atlas to extract fractional anisotropy (FA) and mean diffusivity (MD). Pearson's correlation test was performed between each WMT and clinical parameters and between clinical parameters and the EDSS score as well. P-values < 0.05 were considered significant. Results: Of the clinical parameters, %PVR/BV obtained from the average of multiple un-instrumented uroflow assessments had significant correlations to the greatest number of WMTs. Furthermore, we observed that in all recorded clinical parameters, %PVR/BV was the only significant parameter correlated to the EDSS score. Conclusion: This study demonstrates that %PVR/BV can be used as an objective parameter to gauge WMT changes and disease progression in MS patients. Future studies are needed to refine this model.