Non-motor symptoms in dystonia: from diagnosis to treatment
Kathryn J. Peall1*, 
Brian D. Berman2, 
Norbert Bruggemann3, Giovanni Defazio4, 
Hortensia Gimeno5, 
H. A. Jinnah6, Joel S. Perlmutter7, Sarah E. Pirio Richardson8,9, Emmanuel Roze10,11, Anette Schrag12, Michele Tinazzi13, Marie Vidailhet10,11, 
Aparna Wagle Shukla14,15, Yulia Worbe10,11, 
Jan K. Teller16 and Davide Martino17*- 1Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, United Kingdom
- 2Department of Neurology, Virginia Commonwealth University, Richmond, VA, United States
- 3Department of Neurology, University of Lübeck, Lübeck, Germany
- 4Department of Basic Medical Sciences, Neurosciences and Sensory Organs, “Aldo Moro”, University of Bari, Bari, Italy
- 5Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
- 6Departments of Neurology, Human Genetics, and Pediatrics, Emory University, Atlanta, GA, United States
- 7Neurology, Radiology, Neuroscience, Physical Therapy and Occupational Therapy, Washington University in St. Louis, St. Louis, MO, United States
- 8Department of Neurology, University of New Mexico, Albuquerque, NM, United States
- 9Neurology Service, New Mexico VA Health Care System, Albuquerque, NM, United States
- 10Sorbonne University, Paris Brain Institute, Inserm, CNRS, Paris, France
- 11Assistance Publique Hôpitaux de Paris -DMU Neurosciences, Paris, France
- 12Institute of Neurology, University Clinic London, London, United Kingdom
- 13Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
- 14Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, United States
- 15Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States
- 16Dystonia Medical Research Foundation, Chicago, IL, United States
- 17Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
The Dystonia Medical Research Foundation organized an expert virtual workshop in March 2023 to review the evidence on non-motor symptoms across the spectrum of dystonia, discuss existing assessment methods, need for their harmonisation and roadmap to achieve this, and evaluate potential treatment approaches. Albeit the most investigated non-motor domains, experts highlighted the need to identify the most accurate screening procedure for depression and anxiety, clarify their mechanistic origin and quantify their response to already available therapies. Future exploration of sleep disruption in dystonia should include determining the accuracy and feasibility of wearable devices, understanding the contribution of psychotropic medication to its occurrence, and defining the interaction between maladaptive plasticity and abnormal sleep patterns. Despite recent advances in the assessment of pain in dystonia, more research is needed to elucidate the relative importance of different mechanisms called into play to explain this impactful sensory feature and the most appropriate treatments. Amongst the different non-motor features investigated in dystonia, cognitive dysfunction and fatigue require an in-depth observation to evaluate their functional impact, their clinical profile and assessment methods and, in the case of cognition, whether impairment represents a prodrome of dementia. Finally, experts identified the development and field validation of a self-rated screening tool encompassing the full spectrum of non-motor symptoms as the most urgent step towards incorporating the management of these features into routine clinical practice.
Introduction
The nature and frequency of non-motor symptoms in dystonia have gained increased recognition and research focus over the past 10 years, despite not forming part of the current dystonia classification system [1]. Investigation of non-motor symptoms have primarily focused on specific subtypes, predominantly psychiatric symptoms, with fewer studies examining sleep, pain, cognition, and fatigue (Figure 1). Variable cohort diagnoses, size and methodological approaches have contributed to highly heterogenous findings, suggesting a need for more consistent and standardised approaches. However, systematic evaluation and management of non-motor symptoms do not currently form part of routine clinical care for patients with dystonia, and beyond standardised practices for botulinum neurotoxin (BoNT) and deep brain stimulation (DBS) therapies, a comprehensive model of care remains to be developed for dystonia. These limitations provided the rationale for the Dystonia Medical Research Foundation to convene a workshop aiming to 1) examine the evidence to date for non-motor symptoms across the spectrum of dystonia, 2) identify different methodological approaches to assessing non-motor symptoms, 3) determine whether these approaches differ across children, young people, and adults, and whether there is need for harmonisation, 4) develop a roadmap to integrate non-motor symptom evaluation into routine clinical care, and 5) evaluate potential therapeutic interventions or whether existing therapies can be repurposed and tested in clinical trials for treatment of non-motor symptoms. Here, we provide an overview of each of the subject areas discussed—psychiatric symptoms, sleep disruption, pain, fatigue, cognitive dysfunction—differences and commonalities between childhood and adult non-motor assessment approaches, and development of models of care to better incorporate non-motor symptoms.
FIGURE 1
FIGURE 1. Schematic representation of the non-motor symptoms discussed and reviewed in this workshop, coupled with key examples from each symptom type. Key: REM, Rapid Eye Movement.
Methods: workshop details
The workshop was held virtually on 1st and 2nd March 2023, with the co-authors of this manuscript in attendance. Talks were given by those with expertise in each of the fields: psychiatric (BB, YW), pain (MT, NB), sleep (SPR, AWS), cognition (GD), pediatric assessments (HG, ER), models of care (DM, KP) and co-chaired by the corresponding authors. Time was given to discussion after each set of presentations focused on a single symptom group, with summary sessions held at the end of each day. The manuscript below summarises the detail of the presentations coupled with the associated discussion, with Table 1 developed as a summary item from the workshop.
TABLE 1
TABLE 1. Key research questions related to non-motor domains in dystonia.
Psychiatric symptoms
Evidence evaluation was divided into that relating to isolated dystonias, most commonly adult-onset forms, and monogenic forms of dystonia. Most publications have focused on the type and rate of psychiatric symptoms, and whether these are significantly more prevalent compared to that of a control population or those affected by another disorder, for example, hemifacial spasm. Driven by anecdotal clinical observation and larger case series, this work has mostly focused on anxiety-related disorders and depression, primarily involving prospectively recruited adult-onset idiopathic dystonia cohorts, and identifying higher rates of mood and anxiety disorders across a range of dystonia subtypes [2, 3]. More specifically in those with cervical dystonia (CD), rates of reported anxiety related symptoms range from 40% to 83.6%, and 37%–53% for mood disorders, including major depressive disorder [4, 5], while in blepharospasm (BSP) rates of anxiety are twice that of hemifacial spasm [6]. Cohorts examining those with spasmodic dysphonia and focal hand dystonia have tended to be smaller with 52% of the former meeting diagnostic criteria for any psychiatric disorder, compared to 20% for those with vocal fold paralysis [7], and a study of 39 cases diagnosed with writer’s cramp or musician’s dystonia, found rates of anxiety disorder and recurrent depression to be 26% and 18%, respectively [8]. More recently, a systematic review and meta-analysis of previous studies found odds ratios for anxiety disorders in idiopathic dystonia to be 6.73 compared to unaffected controls, and 5.77 compared to those with other medical co-morbidities, such as alopecia areata. By contrast, odds ratios for depression were 4.86 and 3.62 for the same group comparisons, respectively [9]. Recently, results from the Dystonia Coalition dataset (n = 478) have shown higher rates of anxiety in CD and laryngeal dystonia, compared to those with cranial or limb involvement, while no differences in rates of depression were observed across the motor phenotypes [10]. Another, more recent study from the Dystonia Coalition focused on oromandibular dystonia (n = 727) where, through use of standardised scales, 34% of the cohort had scores reaching symptomatic thresholds for depression, and 44% for social anxiety [11].
Exploration of psychiatric symptoms in monogenic forms of dystonia has focused on early onset torsion dystonia (TOR1A), myoclonus dystonia (SGCE) and rapid-onset dystonia-parkinsonism (ATP1A3), with a recent meta-analysis (SGCE, n = 240, 6 studies; TOR1A, n = 96, 2 studies; ATP1A3, n = 29, 1 study), evaluating the cumulative odds ratio across the multiple studies [9]. The overall odds ratio for psychiatric symptoms in DYT11 was 5.68, with this value increasing for more specific disorders including obsessive-compulsive disorder (OCD), anxiety disorders and alcohol dependence. Further focus on those harbouring SGCE variants highlighted longitudinal studies demonstrating stable motor symptoms but a change to psychiatric burden over time [12]. By contrast, a follow-up study of those who had received DBS found that anxiety and depression scores normalised after intervention [13]. Others have suggested a higher frequency of impulse control disorders and motor impulsivity, indexed by experimental tasks, in the SGCE population [13]. Imaging studies have suggested that the proposed lack of inhibitory control underpinning motor impulsivity is related to aberrant activation of the motor cortex-cerebellum network and insula [14]. Others have focused on genetic forms of dystonia directly linked to the dopaminergic metabolic pathways, with a larger case series of those harbouring GCH1 mutations (DYT5) demonstrating a significant overall excess of psychiatric symptoms (p < 0.05), and more specifically generalised anxiety disorder and agoraphobia [14].
A key discussion related to whether these psychiatric symptoms represented primary or secondary phenotypes, with the prevailing view being that both were likely true, with variation dependent on type of dystonia and nature of the psychiatric symptoms. Several studies have demonstrated pre-motor onset of psychiatric symptoms, apparent in ∼60% of an Italian registry study, and prominent in those with CD and dystonic tremor in another study [15, 16]. Familial studies have also indicated a higher rate of psychiatric symptoms amongst siblings of those diagnosed with dystonia, suggesting common underlying biological processes, rather than secondary sequelae [17]. Furthermore, the increased prevalence of early-onset recurrent major depression in TOR1A pathogenic variant carriers in the absence of motor features of dystonia, highlights the potential for independent occurrence of non-motor symptoms in dystonia [18].
The pathophysiological basis of these symptoms in dystonia remains to be determined however, an unbiased systems-biology approach to investigate the cellular specificity of known dystonia causing genes and whether a functional relationship was shared with neuropsychiatric disorders identified enrichment within the putamen, frontal cortex, and white matter modules [19]. These regions are consistent with the network-based model for dystonia, in which evidence for involvement of the basal ganglia has been seen in murine studies and human imaging analyses [20], as well as involvement of the cerebral cortex in human electrophysiological studies and patient-derived stem cell models [21, 22], Few studies have directly addressed the treatment of psychiatric symptoms in dystonia, although population level linked clinical data studies have identified almost half of dystonia cohorts to have been prescribed at least one anti-depressant or anxiolytic oral medical therapy [15]. Alternative approaches have included in person delivery of group cognitive behavioural and mindfulness therapies, as well as internet-based, self-guided cognitive behavioural therapy, both of which provided indications of symptomatic improvement in limited size study populations [23, 24].
These discussions led to a debate on the potential need for dystonia-specific tools and scales to better define and provide greater sensitivity to change in severity of psychiatric symptoms. Tools used to date have included standardised questionnaires based on DSM-IV diagnostic categories including, for example, the Hamilton Depression Rating Scale and Patient Health Questionnaire (PHQ-9) for depression [25], Beck Anxiety Inventory [26] and State Trait Anxiety Scale for anxiety [27], the Yale-Brown Obsessive-Compulsive Scale for Obsessive-Compulsive Disorder (OCD) [28, 29], coupled with broader diagnostic screening questionnaires such as the MINI International Neuropsychiatric Inventory (M.I.N.I) [30]. However, these tools have largely been developed either as a brief mechanism for screening within the general population, or as a means of quantifying symptom severity in psychiatric services. Additionally, the tools used have varied across individual studies in dystonia, with the added complexity as to whether they are designed for participant self-completion (either in paper form or digitally) or researcher delivered. Analogy was made to Parkinson’s disease (PD), where use of generic scales lacked sensitivity in identifying symptoms of anxiety thereby leading to the development of a PD specific anxiety scale [31]. While some agreement was reached that non-motor symptom specific scales would be of benefit, the group agreed that use and/or generation of any scales should be applied across all dystonia subtypes to allow for uniformity of approach. Points were raised as to whether more relevant screening instruments were needed for dystonia, noting the recent Dystonia Non-Motor Symptoms Questionnaire (DNMSQuest), although the focus here on individual non-motor symptom types is limited [32].
Pain
The negative impact of pain on quality of life and daily functioning of people with dystonia is well recognized. Pain is the most frequently reported non-motor symptom by CD patients, with a prevalence of 54.6%–88.9% [33], and primarily involving the neck and shoulders, although this may spread to the upper back, cranial region on the side of head deviation, or the ipsilateral upper limb. Approximately 10%–30% of those diagnosed with CD also report chronic headache, predominantly in the occipital (79%) or nuchal (73%) regions. People with BSP typically report ocular dysesthesia, occasionally described as pain, or photo-oculodynia. More than a third of patients with upper or lower limb dystonia report clinically significant pain, whereas systematic data collection on jaw and throat pain in oromandibular and laryngeal dystonia is lacking. In CD specifically, pain correlates with motor severity and there is a 2.6-fold higher frequency of alleviating manoeuvres in CD with pain compared to those without. The TWSTRS and its revised version (TWSTRS-2) [34] have been the only disease-specific instruments (focused on CD) to include a pain sub-scale for decades, scoring the patient’s usual, worst, and best pain severity in the previous week, and a pain-related disability score. Recently, Bruno et al. developed the Pain in Dystonia Scale (PIDS) [35], the first disease-specific instrument to evaluate pain across different body regions, and applicable to all patients with adult-onset isolated dystonia. Validated to date only in CD, the PIDS includes a severity scale, a functional impact measure and a questionnaire collecting data on pain-modulating factors. Another group have recently developed and tested a “patient-relevant” classification framework for chronic pain in dystonia [the Dystonia Pain Classification System (Dystonia-PCS)]. This scale focuses more on the relationship between pain and dystonia, specifically evaluating whether the pain is directly related to, aggravated by, or unrelated to dystonia [36].
Pain has also been reported in non-dystonic muscles of those diagnosed with dystonia, with pressure algometry showing no correlation with the degree of contraction of dystonic muscles [37]. Some experts claim that localising and targeting pain increases the success of botulinum neurotoxin treatment in those with CD [38]. Tinazzi et al. applied a conditioned pain modulation protocol, demonstrating defective inhibition in CD patients, both with and without pain, suggesting a primary deficit of the endogenous descending inhibitory pain system, a feature not observed in those with BSP [39]. The involvement of sensory processing in the mechanisms of pain in dystonia is also supported by preliminary findings of pain improvement in CD using sensory modulation techniques, e.g., kinesiotaping, although results differ between studies [40, 41]. The group highlighted the need for future work to elucidate the relationship between pain and other non-motor features of dystonia, in particular emotional dysregulation. In CD patients, a Bayesian approach applied to cluster analyses demonstrated a link between greater pain acceptance and lower degree of perceived pain, whereas the presence of relevant depressive and anxiety symptoms correlated with a catastrophic interpretation of pain [42].
Limited evidence exists for the systematic evaluation of pain therapies in dystonia however, studies have demonstrated superior efficacy of injectable botulinum toxin, particularly in the treatment of cervical dystonia, over oral medical therapies, such as trihexyphenidyl [43]. However, observational studies have indicated 45% of cervical dystonia cohorts receiving botulinum toxin treatment to be additionally taking oral analgesic medication [44], In this setting the majority were taking non-steroidal anti-inflammatory medication, of importance given a further study from the Dystonia Coalition identified rates of 11% for substance abuse amongst cohorts of patients with CD, with these symptoms were higher amongst those using opiate analgesia for pain management [45].
Sleep disruption
Observational studies of sleep have consistently documented disturbance in people with adult-onset dystonia, predominantly CD (40%–70%), with limited evidence from pediatric cohorts [46, 47]. Questionnaire- or survey-based studies have found reduced sleep quality using non-disease-specific instruments (primarily, the Pittsburgh Sleep Quality Index). Preliminary qualitative data from the Dystonia Coalition Patient-Centered Outcomes Project show that CD patients rate an improvement of 32% as the smallest meaningful improvement for sleep disruption (Pirio Richardson, et al., in preparation). Overall, studies to date of sleep physiology and quality in dystonia are limited by small sample sizes, heterogeneity of patient population, lack of control groups in some studies, inclusion of patients receiving medical treatment for sleep disturbance, and a paucity of studies combining self-reported measures and polysomnographic recordings. The latter has been used in assessment of a small cohorts of those diagnosed with CD, BSP, segmental craniofacial dystonia and dopa-responsive dystonia (GCH1), consistently showing reduced sleep efficiency, increased sleep latency, increased duration of N1 sleep phase and decreased duration of REM sleep [48–50]. Overnight recordings have also shown a significant decrease in signal amplitude from the more affected sternocleidomastoid muscle in CD patients during N3 phase of sleep, possibly suggesting sleep-promoted homeostatic balance, whereby “over-active” muscles during the day need “deeper” rest at night. Brain slow wave activity overnight is considered an important physiological change, allowing for synaptic downscaling and memory consolidation, and thus promoting brain plasticity. One study demonstrated a decrease in the power of physiological slow-wave activity in individuals with CD, potentially suggesting impaired synaptic downscaling resulting in impaired cortical plasticity [51]. Two recent murine models of dystonia also demonstrate sleep abnormalities (increased time awake and REM latency, and aberrant sleep architecture), suggesting multiple avenues for further investigation [52].
Selecting the most informative and feasible method of sleep assessment in people with dystonia remains a crucial goal. A recent multi-modal study of sleep quality used 1-week remote monitoring of 50 people with CD and 50 control participants through a consumer-grade wrist triaxial accelerometer, coupling it to daily sleep diary and other non-motor symptom questionnaires [53]. Accelerometry showed significantly longer total sleep time and time spent in NREM sleep in CD patients compared to control subjects, however, also evident was discrepancy between self-report and wearable data, significant for both dystonia and control subjects. However, future studies can build on this as data from wearable devices improves, improving validity with mathematical analysis of both accelerometric and polysomnographic data. Quantitative measures of sleep could use similar methodologies to those of physical activity, allowing a more accurate exploration of the association of sleep and activity levels with motor and other non-motor features of dystonia (e.g., depression, anxiety, pain). Few studies have examined sleep in interventional studies, demonstrating that motor improvement with BoNT or DBS is not paralleled by improvement in sleep quality [54, 55]. The impact of important potential contributors to sleep disruption, e.g., use of medications such as benzodiazepines, pain, depression, or other impactful non-motor symptoms, also remains under-explored.
Fatigue
Fatigue, intended as perception of physical or mental effort, remains poorly investigated in dystonia. Cross-sectional observational studies have applied both generic fatigue rating instruments, e.g., the Fatigue Severity Scale, and the DNMSQuest, consistently reporting a rates of 40%–50% in those with idiopathic dystonia, and a similar burden in dopa-responsive dystonias and myoclonus dystonia [56–58]. Fatigue severity has been shown to significantly correlate with quality of life in those with CD, and appears independent of psychiatric and motor symptom severity [57]. Beyond this, very little is known on the mechanisms of fatigue in dystonia and the effectiveness of different treatment approaches used in other disorders, such as PD. Future work should identify specific criteria to define and characterize fatigue in dystonia, with qualitative studies (interviews, focus groups) involving patients and health professionals, while physiological markers may be determined using techniques such as functional imaging techniques.
Cognitive dysfunction
Discussion of cognitive abnormalities focused primarily on isolated forms of dystonia, particularly adult-onset forms. Available studies have, however, generated mixed findings, which hinder the identification of a consistent cognitive profile. This has also been coupled with a high level of variation in the tools used to assess cognitive function, for example, the Wisconsin Card Sorting Test, multiple components of the adult and child versions of the Wechsler Intelligence Scale, Trail Making Test, Ray Auditory Verbal Learning Task, and the Florida Affect Battery [59–62]. A critical review of the literature demonstrated that most case-control observational studies, comparing isolated adult-onset dystonia to unaffected control, report poorer performance in those with dystonia [63, 64]. Interestingly, studies that failed to detect significant differences between groups were smaller in sample size, and involved those diagnosed with BSP or CD. The only cognitive domain in which consistent changes have been identified, is executive functions (also the most investigated domain), with inconsistent findings from other domains. Changes to executive dysfunction have most consistently been demonstrated in CD and DYT1 (TOR1A) forms of dystonia, while studies focused on other forms, for example, BSP, have shown deficits in sustained attention, complex movement planning and visuospatial working memory [65, 66]. When investigated, there was no significant correlation between cognitive impairment and severity of motor symptoms or depressive/anxiety symptoms, suggesting that these cognitive changes are not merely secondary to motor or mood disturbance, instead aligning with the view that executive dysfunction might stem from abnormal connectivity within fronto-striatal networks. In a previous study pre- and post-pallidal DBS stimulation in isolated dystonia, cognitive functions were reported to “improve” post-intervention, interpreted as a “re-allocation of mental resources.” Twelve months post-surgery free recall improved, with significant reduction in the number of errors in the WCS [67]. Consideration should also be given to the involvement of cerebellar pathways in the genesis of cognitive deficits in dystonia, with evidence suggesting a key role for these pathways in several cognitive functions, e.g., attention and language. Finally, available observational studies have used a cross-sectional design, therefore limiting insight of the longitudinal course of cognitive dysfunction.
Several objectives for future research in this area were discussed and proposed. First, there are limited data on the difference in cognitive profile between different forms of isolated adult-onset dystonia. Performance on broad cognitive assessment forms such as the Addenbrooke’s Cognitive Examination Revised (ACE-R) found worse performance in people with adult-onset dystonia compared to unaffected controls, but no differences between individual dystonia types [68]. A more recent study of social behaviour, one of the key domains of social cognition, reported a deficit in CD but not BSP. Overall, there is a need for more research on the motor-cognitive correlation, and a refinement—for example, through combining several established and standardised cognitive assessment to create a recognised battery of dystonia cognitive assessments—of the tools used to allow for greater across cohort comparison. Ideally these should be coupled with imaging studies exploring structural and functional connectivity patterns. Understanding this relationship will aid clinicians in tailoring cognitive assessments to specific motor presentations of dystonia, as well as better understand and monitor the cognitive risk of different motor symptom treatments, including DBS [69].
Pediatric dystonia—a different phenotypic group
The group began the discussion of NMS in pediatric dystonia questioning whether assessments should consider children/young people and adults distinctly, or whether there were approaches to capturing non-motor symptoms that would allow continuity while retaining sensitivity to early developmental change. Initial discussions focused on the need to recognise that ‘normal’ varies across developmental stages with specific examples provided for sleep-wake duration, sleep patterns, susceptibility and frequency of disorders which depend on age. For example, NREM parasomnias, such as night terrors, are more common in children, while restless leg syndrome is more common in adults. Similar differences can be seen in the diagnostic inference of psychiatric symptoms, where depression in adults involves description of feelings of sadness and despair, while in children is more likely to manifest in the form of anger and irritability. Additionally, age at symptom onset or diagnosis is also of importance in terms of likely diagnoses, e.g., anxiety, OCD and depression can arise pre-puberty and continue into adult life, whereas schizophrenia rarely begins pre-puberty. Key challenging questions emerging from this initial discussion included: if non-motor tools were to be used throughout the lifespan, would they sufficiently capture the same/similar symptoms, and whether there are advantages to considering all ages collectively, or whether greater understanding would be gained from independent investigation?
Although several studies have identified evidence of non-motor symptoms in childhood-onset dystonia, at present there are no validated outcome measures [70]. The studies that have been undertaken to date are often small and heterogenous regarding dystonia aetiology, task performance across individuals being frequently unpredictable and not reliably assessed with single timepoint measures [71]. Intervention and evaluation has instead focused on tools used in rehabilitation services, rather than symptom checklists. One such framework is the International Classification of Functioning, Disability and Health (ICF), a World Health Organisation (WHO) classification of health and health-related domains. This examines impairments to body function, limitation to activities, restriction to participation, while the Canadian Occupational Performance Measure (COPM), for use at all ages, allows the individual to prioritise daily issues that may restrict activity participation. Strategies developed for intervention include those focused on a cognitive approach, namely, the Cognitive Orientation to daily Occupational Performance (CO-OP), demonstrated to be effective in its delivery across therapists of multiple clinical backgrounds [72–74]. The CO-OP approach seeks to apply cognitive and motor learning theories and meta-cognition to everyday activities, measuring performance over time. Multiple studies within this framework, however, have demonstrated the need for repeated longitudinal assessments, rather than single evaluations, due to the fluctuant nature of performance. Given this potential for performance and functional variability, “n-of-1” trials have been proposed as a more effective approach to evaluating interventions within highly heterogenous pediatric dystonia cohorts, with further work needed to establish a consensus set of outcome measures considered valid for this patient population.
Discussion
Models of care–the need for new approaches and treatment pathways in dystonia
Transitioning improved research understanding into clinical services formed the final discussion section, identifying the urgent need for updated models of care that comprehensively address both motor and non-motor symptoms. The current model of care, predominantly applied to adult-onset dystonia, is centered on the motor features of dystonia and involves frequent (quarterly) but brief clinic consultations for delivery of BoNT injections. The temporal and spatial constraints of these services hinder screening, assessment, and active management of non-motor symptoms, often leaving these tasks to primary care physicians and increasing the risk that non-motor symptoms are under-recognized by specialists and passively accepted by patients. Overall, this generates patient dissatisfaction, who have openly criticized these limitations in the small number of qualitative studies available. This problem appears to be considerably less relevant in pediatric dystonia, in which a more comprehensive work-up and related management plan are typically initiated, supporting the need for transition services from childhood/adolescent care to adult services [75].
Multiple opportunities exist for learning from other movement disorders, such as Tourette’s Syndrome, a disorder with well recognised motor and psychiatric symptoms, in which clinic consultations typically involve extensive batteries of symptom checklists or screening tools, often undertaken electronically in advance of the clinic appointment. Consensus around symptomatic screening represents step one in this process, and while digital technology, such as online or app delivered questionnaires and use of wearable devices, represent attractive approaches for data collection, any care model would ideally be implemented internationally, with a desire to avoid widening differences between higher and lower income countries. However, care models need to extend beyond data capture, and involve a framework for delivery of assessment outcomes to patients, and any clinical intervention they might drive, such as anxiolytic or anti-depressant medication, or cognitive behavioural therapy [24, 76]. To date there has been little research focus on establishing effective interventions for management of these non-motor symptoms, with sparse available data even for the evaluation of commonly prescribed medication, such as selective serotonin reuptake inhibitors (SSRIs), in the treatment of anxiety and depression in dystonia [77]. A more standardised approach to non-motor symptom capture would provide the framework necessary to evaluate future interventions and establish clinical trials.
Evidence from qualitative studies, which have focused more on psychiatric features, supports the use of one (or more) self-administered screening instrument(s), coupled with an evaluation of functional impairment deriving from these symptoms [78, 79]. A single instrument covering the full spectrum of non-motor symptoms would appear to be the most efficient solution for clinical screening, and although the development of the DNMSQuest has contributed to raised awareness of non-motor symptoms in dystonia, this instrument is a simple yes/no questionnaire that merges non-motor and motor (gait, swallowing) features without providing detail of their severity or functional impact [32]. Different strategies could be considered to optimize clinical screening, including revision/expansion of the DNMSQuest to involve judgement of clinical relevance to guide further action, or creation of a comprehensive instrument through the collation of items from pre-existing questionnaires that demonstrate the greatest accuracy in identifying non-motor features. Moreover, questionnaire-based screening could be integrated with data capture from wearable sensors or combined with patient-centered outcomes to achieve a more informed clinical decision. Screening repetition should take place at an interval that is clinically meaningful and practically actionable, such as an annual assessment that could be integrated with other activities such as enrolment in clinical or research registries. For pediatric forms, a more detailed assessment that considers multiple psychiatric screening tools, multi-domain cognitive assessment, videotaped motor examination, and pain assessment is likely to be necessary.
Where should we start to make an impactful change?
As outlined above, clinical characterization and knowledge of assessment methods differ across the various non-motor features associated with dystonia, with the key knowledge gaps highlighted in the workshop summarized in Table 1. Whereas the clinical characteristics, frequency, and related impact on quality of life have been outlined in some depth for psychiatric features and pain, evaluation of the impact of sleep disturbance, cognitive impairment, and fatigue in patients with isolated dystonia should still be considered in progress. Although dystonia-specific instruments have been developed for psychiatric symptoms (but only in CD) and pain, there are no guidelines on which disease-specific or non-disease-specific rating instruments are most suitable for dystonia in either research or clinical settings, and there are no recommendations on how best to screen for these symptoms in clinical practice. This uncertainty is even greater for those features that require more elaborate phenotyping such as sleep or cognitive dysfunction. The difference in natural history, phenomenology and functional impact between pediatric and adult dystonia suggests an independent approach to non-motor symptoms for these two distinct life stages is necessary. Adult-onset dystonia, at the same time, also appears to be very heterogeneous with respect to motor and non-motor features, and it seems likely that assessment of non-motor features in clinical practice will eventually need to be diversified based on the prominent motor phenotype. We also lack evidence on how responsive non-motor symptoms are to therapies for mood, anxiety, pain, and sleep disruption repurposed “non-specifically” in people with dystonia.
Conclusion
The multifaceted nature of the “non-motor” dimension of dystonia complicates identification of the most promising strategy to tackle the clinical problem. Work should begin collaboratively to facilitate progress toward providing improved care with clinicians needing a practical and sufficiently informative screening tool that encompasses the “non-motor spectrum” of dystonia as we currently understand it. Therefore, the first objective selected by the workshop group, is the development and field validation of a self-administered screening tool that could easily be incorporated into specialist movement disorders clinics. As we strive towards better understanding of mechanisms and personalized therapies for non-motor symptoms, we are confident that this simple but effective advance in screening capacity will increase awareness of the frequency and impact of these symptoms amongst clinicians and patients. Such an advance is critical to a sustainable improvement of quality of care for people with lived experience of this highly impactful and complex neurological condition.
Data availability statement
No new data was created during this study.
Author contributions
KP, DM, and JT were involved in organising the workshop, KP and DM chaired the workshop and wrote the original draft of the manuscript. All authors contributed to the workshop, article and approved the submitted version.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Keywords: dystonia, non-motor symptoms, psychiatric illness, screening, assessment
Citation: Peall KJ, Berman BD, Bruggemann N, Defazio G, Gimeno H, Jinnah HA, Perlmutter JS, Richardson SEP, Roze E, Schrag A, Tinazzi M, Vidailhet M, Wagle Shukla A, Worbe Y, Teller JK and Martino D (2023) Non-motor symptoms in dystonia: from diagnosis to treatment. Dystonia 2:11860. doi: 10.3389/dyst.2023.11860
Received: 27 July 2023; Accepted: 13 October 2023;
Published: 24 October 2023.
Edited by:
Sanjay Pandey, Amrita Hospitals Faridabad, IndiaCopyright © 2023 Peall, Berman, Bruggemann, Defazio, Gimeno, Jinnah, Perlmutter, Richardson, Roze, Schrag, Tinazzi, Vidailhet, Wagle Shukla, Worbe, Teller and Martino. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Kathryn J. Peall, peallkj@cardiff.ac.uk; Davide Martino, davide.martino@ucalgary.ca
