The CNS and bladder dysfunction

Abstract

The brain's role in the development and maintenance of bladder control is critical, although its precise role in patient-reported complaints such as urgency and urine leakage is unknown. Functional brain imaging studies have advanced our knowledge of brain activity during the micturition cycle, showing multiple neuronal circuits involved as parts of a ‘brain-bladder control network.’ Yet, new advances need to be made in order to incorporate this knowledge into existing models of neuroanatomy and of clinical syndromes of bladder dysfunction and related clinical practice. This short article explains why and how brain imaging methods are poised to achieve that goal and decode the role of the brain in widely prevalent clinical conditions related to bladder dysfunction.

Introduction

To become a member of society, besides learning language or how to walk, a child needs to learn to control the bladder. This skill enables the child to adapt to the social environment and void or postpone voiding voluntarily, regardless of the strength of the bladder sensation. It requires the voiding reflex, stemming from the bladder, to be integrated with, and modulated by, a network of centers in the cerebral cortex that are believed to process all relevant information and promote or inhibit voiding accordingly. Thus the brain is a necessary part of bladder control [1]. If a pathogenic factor such as brain injury or stroke affects it, control may be lost, presenting as involuntary urine leakage – the symptom of urinary incontinence [2]. Sometimes with these patients, loss of urine is preceded by urgency, a sudden, compelling desire to void that is difficult to defer and is accompanied by fear of leakage [2,3]. However, patients like this are not typical of day-to-day urological practice [4]. Most patients who complain of urgency, with or without urine leakage, have no obvious brain abnormality. The bladder also appears normal, but if tested by continuous fast filling during routine urodynamics it may occasionally show an involuntary contraction of the bladder muscle (and relaxation of the sphincter), which may cause leakage. Known as detrusor overactivity [2], this phenomenon represents the only unambiguous physiological sign that bladder control is impaired in this seemingly idiopathic condition. Although it seems obvious that the CNS is involved, the observation of detrusor overactivity during a bladder examination has de facto defined the entire clinical and research approach to urgency and incontinence (including the so-called “overactive bladder” syndrome) [4]. The consequence of this approach – to diagnose the problem by investigating the bladder and treat it as if it were only a bladder condition – is that no current therapy is highly satisfactory or curative [5,6].

Is the function of the brain relevant in patients with “overactive bladder” manifested by urgency with or without incontinence? One piece of evidence is that bladder symptoms can be improved without altering the bladder itself. In simple terms, if we teach subjects how to confront urgency by utilizing an urge suppression strategy, at least half of the urgency and leakage episodes disappear [7]. The fact that a change in brain activity improves bladder symptoms suggests that the CNS is a causative factor. This leads to a further question – are urgency and urinary incontinence caused by the brain, bladder or both? Decoding the role of the brain in this idiopathic yet widely prevalent clinical condition remains a major unsolved 21^st-century urological mystery. Below, we explain why brain studies are important and how brain imaging methods are poised to solve the mystery.

Recent advances

Since the last decade of the 20^th century, functional imaging of regional activity in the brain's gray matter has revealed characteristic changes during bladder voiding and storage and, more recently, during patient-reported urgency [8-13]. This has led to the emerging concept of a “brain-bladder control network” that adds new information to the existing knowledge of the neuroanatomy of micturition and the control of voiding (Figure 1) [14, 16]. Yet, further breakthroughs are needed to improve our current insight into brain function and define factors leading to the failure of the brain to control voiding. Given recent advances in imaging methodologies, this is now possible. Let's review potential avenues.

Figure 1a. Neuroanatomy of micturition and control of voiding, showing neuroanatomically well-established regions and projections.

The peripheral and spinal connections support the voiding reflex, together with the pontine micturition center (PMC) and midbrain periaqueductal gray (PAG). Note that several of the brain regions shown are also registered by functional magnetic resonance (Fig. 1B). They include the medial part of the prefrontal cortex and the dorsal part of the anterior cingulate gyrus, which are key areas in two cortical neural circuits postulated to control the lower urinary tract [16]. The hypothalamus and amygdala belong to a third, subcortical postulated control circuit. Brain regions that appear in Fig. 1B but not in Fig. 1A (e.g. insula) represent areas of possible disagreement that remain to be resolved.

Figure 1b. Summary schematic of regional brain activity registered by functional magnetic resonance imaging (fMRI) during bladder filling experiments.

(i). Sagittal section of the brain. (ii). Coronal section of the brain. Numerals 1–27 indicate areas previously published by authors Tadic and Griffiths. Color-coded circles show activation (red/orange) and deactivation (blue/purple) and are placed in approximate locations for schematic purposes. All figures are shown in neurological convention (right side on right). (With permission from Journal of Urology [16])

First, we already have a simple theoretical concept of how the brain-bladder control network functions, derived from neuroanatomical and physiological studies [14] and fragmented information in about 60 functional brain imaging studies (mostly using positron emission tomography [PET] or functional magnetic resonance imaging [fMRI]). It suggests that the network may be viewed as a small number of neuronal circuits [16]. They perform sensory, motor, emotional and cognitive processing of the afferent signals arising from an increasingly filled bladder, in order to appraise them in the social context and react appropriately. In subjects with urgency, the processing appears to be impaired, since, at some volume threshold, bladder afferents are perceived as offering a threat of social embarrassment due to impending and uncontrolled leakage [13,17,18]. An emotional conflict like this further affects behavior and exacerbates symptoms of the disease. To ascertain how these circuits contribute to the creation of symptoms, researchers need to employ brain-scanning and urodynamic protocols that include emotional or cognitive probing tasks – for example, viewing frightening pictures or solving a puzzle. They will also need advanced methods of analysis of brain images (e.g. connectivity studies [19] and mathematical modeling [20]), which are already in use for other organ systems [21].

Second, having established “proof-of-concept” that a control network malfunction can generate the symptom of urgency, researchers will need to further investigate underlying CNS factors that might cause such a malfunction. White matter damage is a likely candidate since it may disrupt the connecting pathways of the brain-bladder control network [22]. Above some unknown threshold, the disruption may be sufficient to impair control. This hypothesis is supported by large studies of older subjects that link severity of white-matter damage to decreased ability to postpone voiding and increased prevalence of urgency [23-27]. The mechanism leading to structural white-matter damage is a long-standing (hence “age-related”) exposure to vascular noxa such as unregulated blood pressure [22]. Further support comes from a recent study combining functional and structural brain measurements in older females with urgency and incontinence (Figure 2) [28]. More advanced methods of assessing white-matter integrity, such as diffusion tensor imaging (DTI) [29], will be able to localize structural deficits within a specific white-matter tract [30]. In addition, DTI can show deficits in white matter that appear normal by conventional radiological methods. Deficits of this sort are more prevalent in younger subjects and may lead to urgency or incontinence with greater potential for preventive or curative intervention, if treated before irreversible white-matter damage has occurred.

Figure 2. White matter tracts and functional brain activity.

Regional brain responses to bladder filling (main effects) superimposed on selected white matter tracts; red/yellow = activation, blue = deactivation (P < 0.01 uncorrected); numbers show z-coordinates in mm. White pointers show some of the regions where the tract appears to project to activated or deactivated areas. A. anterior thalamic radiation (ATR); B. superior longitudinal fasciculus (SLF). (with permission from NeuroImage [27])

Third, and most important, researchers will need to convince urologists that the brain-bladder control network is indeed related to bladder function. An obvious way would be to display, simultaneously and in real time, the activity of the bladder or urethra and the activity in the governing regions of the cerebral cortex. Thanks to functional near-infra-red spectroscopy of the brain (fNIRS) this is now possible. fNIRS coupled with urodynamics has already demonstrated brain activity associated with detrusor overactivity (Figure 3) [31-33]. Although still in development, it offers potentially tremendous opportunities for research as it allows CNS function to be assessed inexpensively in the clinical urodynamic suite, thus allowing mass brain-bladder studies. These studies will provide critical information about how the failure of control occurs and whether control is sustained, thus enabling precise diagnosis of a possible CNS-bladder disconnect in each individual patient. Improved prognosis and better pre-treatment assessment of the probability of therapeutic response will ultimately benefit patients by streamlining disease management and reducing costs of treatment.

Figure 3. fNIRS and urodynamic study.

A) Upper part: Frontal section of the NIRS optical probe with a lattice of source and detector optodes, placed on a mannequin head. Lower part: Areas of significant brain activity registered during bladder filling in standard urodynamic settings (e.g. an episode of provoked detrusor overactivity as shown here) mapped onto a standard brain image. Circled area corresponds to the outlined probe. The extent and the type of activity is color coded: yellow to red – activations; green to blue – increasing deactivations. B) Graph depicting corresponding time course of change in concentration of deoxyhemoglobin in the dorsolateral prefrontal cortex during the specific task (e.g. bladder filling during urodynamics). This trace corresponds to brain activity in the encircled area on the left and is obtained in real-time from each source-detector pair during NIRS investigation. rPFC – right prefrontal cortex; dlPFC – dorsolateral prefrontal cortex; fNIRS – functional near-infrared spectroscopy.

Future directions

At the beginning of the 21^st century, advanced brain imaging methods are poised to yield deeper insight into the forgotten role of the brain in bladder dysfunction. If successful, this approach will provide new information about bladder control that will improve diagnosis and treatment, changing the lives of our patients and the practice of urology as we know it.

Abbreviations

CNS

central nervous system

DTI

diffuse tensor imaging

NIRS

near-infra-red spectroscopy

PET

positron emission tomography

fMRI

functional magnetic resonance imaging

Competing interests

Dr. Tadic and Dr. Holstege have no competing interests to declare. Dr. Griffiths is a consultant for Laborie Medical Technologies.

The electronic version of this article is the complete one and can be found at: http://f1000.com/reports/m/4/20