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MINI REVIEW

Dystonia, 21 February 2024
This article is part of the Special Issue Emerging Leaders in Dystonia Research View all 11 articles

ε-sarcoglycan myoclonus-dystonia—overview of neurophysiological, behavioral, and imaging characteristics

Feline HamamiFeline HamamiSkadi GerkensmeierSkadi GerkensmeierAlexander MünchauAlexander MünchauAnne Weissbach
Anne Weissbach*
  • Institute of Systems Motor Science, Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Lübeck, Germany

Myoclonus-Dystonia is a rare, neurological movement disorder, clinically characterized by myoclonic jerks and dystonic symptoms, such as cervical dystonia and writer’s cramp. Psychiatric symptoms, like anxiety, depression, and addiction, are frequently reported. Monogenic Myoclonus-Dystonia is mostly caused by pathogenic variants in the ε-sarcoglycan gene, which is among other regions highly expressed in the cerebellum. The current pharmacological treatment is not satisfactory. Neurophysiological and imaging studies in this patient population are scarce with partly heterogeneous results and sometimes important limitations. However, some studies point towards subcortical alterations, e.g., of the cerebellum and its connections. Further studies addressing previous limitations are important for a better understanding of the underlying pathology of Myoclonus-Dystonia and might build a bridge for the development of future treatment.

Introduction

Myoclonus-Dystonia (M-D) is a rare, childhood-onset movement disorder characterized by myoclonic jerks predominantly in the upper body, and dystonia, mostly cervical dystonia and writer’s cramp [14]. Motor symptoms are often alcohol responsive [5]. M-D is often associated with psychiatric symptoms, such as anxiety [613], obsessive compulsive disorders [810, 1418], depression [6, 7, 913], and alcohol abuse/dependence [1, 8, 9, 1318], which can also be present in unaffected mutation carriers [8, 17].

The most frequent cause of M-D are pathogenic variants (mostly loss-of-function) in the ε-sarcoglycan gene (SGCE) (OMIM #159900, DYT11) [15, 1921]. SGCE-positive M-D is inherited in an autosomal-dominant manner with maternal imprinting, resulting in reduced penetrance [22, 23]. Thus, ∼95% of SGCE mutation carriers, whose variant is maternally inherited, are unaffected, but nearly all mutation carriers, who inherit their variant paternally, develop symptoms [24].

SGCE is widely expressed in the brain, but different isoforms of SGCE appear in a differential expression pattern [25]. The brain-specific isoform is highly expressed in the cerebellum [25].

Unfortunately, pharmacological treatment of M-D is mostly not satisfactory [26, 27] and/or has intolerable side effects [27, 28].

An important treatment option is deep brain stimulation (DBS) of the globus pallidus internus (GPi) and the thalamus (ventral intermediate nucleus, VIM), which can significantly improve myoclonus and dystonia [2837]. However, several patients are not eligible for DBS or are too afraid of the side effects [33].

This lack of fully satisfactory and causally effective treatment options highlights the need for further research to better understand underlying disease mechanisms.

Neurophysiological, behavioral, and imaging studies in these patient population are scarce. It has been proposed, that SGCE-positive M-D is a network disorder with the cerebellum and its connections as an important hub [38]. The following is an overview of the state of research on subcortical alterations in M-D. It illustrates limitations but also potentials to foster future research strategies and therapeutical implications, that might result from them. The term M-D describes SGCE-positive M-D in the following, deviations are explicitly stated. Further details on the described studies investigating patients with M-D can be found in Table 1.

TABLE 1
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TABLE 1. Overview of neurophysiological, imaging, and behavioral/psychophysical studies investigating patients with Myoclonus-Dystonia.

Subcortical alterations in myoclonus-dystonia

Myoclonus in general can have a cortical or a subcortical origin and thus present with different neurophysiological characteristics [61]. With regards to M-D, the duration of the myoclonic bursts (mean duration 95 msec) indicated a subcortical origin [2], as cortical myoclonus is described with shorter durations between 20 and 50 msec [2]. The hypothesis of a subcortical origin is supported by a lack of cortical hyperexcitability, e.g., absence of giant somatosensory evoked potentials (SEPs) [49, 50]. Although, in some patients with M-D myoclonic jerks can be evoked by certain stimuli (e.g., visual, auditory, sensory) [49, 50], which could be interpreted as a sign of a cortical source [62], the stimulus-evoked jerk latency in M-D was consistent with a subcortical origin [50].

Basal ganglia alterations in myoclonus-dystonia

Subcortical alterations were also found with structural and functional imaging techniques. Voxel based morphometry (VBM) studies showed no significant differences in white or gray matter of the basal ganglia in M-D patients, but increased severities of dystonia [42] and myoclonus [59] were associated with larger putaminal volumes. Functional imaging with [18F]-fluorodeoxyglucose binding revealed genotype related alterations of subcortical metabolic activity in M-D patients and asymptomatic SGCE-positive mutation carriers [43]. Metabolic increases in pontine and thalamic brain areas were present in all SGCE mutation carriers compared to healthy controls [43].

The hypothesis of a subcortical deficit in M-D is also supported by treatment effects in M-D, particularly DBS of the GPi or the VIM [38], and also by altered activity of GPi neurons [47, 54].

In patients with dystonia, it is thought that the direct motor pathway via striatal D1 receptors is hyperactive, which might result in a reduced GPi activity, and therefore, a disinhibition of the thalamus, and an increased thalamocortical output [63]. On the other hand, it is suggested that the activity of the indirect motor pathway via striatal D2 receptors is reduced in patients with dystonia [63]. This explanatory framework might also fit for the hyperkinetic symptoms, e.g., dystonia and myoclonus, present in M-D.

In this regard, an interesting strategy to investigate the hubs of the direct and indirect motor pathways is the use of intracranial DBS electrodes, either intraoperative during DBS implantation surgery or shortly after the operation when the impulse generator is not connected yet and electrodes are externalized. A coherence analysis investigating the synchrony (i.e., correlation) between muscle discharges, recorded with electromyography (EMG), and (motor associated) neural activity, recorded by local field potentials (LFP) of the basal ganglia via DBS electrodes, or cortical activity recorded by electroencephalography (EEG) [64], is very helpful to draw further conclusions how movements are controlled or influenced by (sub-)cortical activity [65]. Increased cortico-muscular coherence (3–15 Hz) between several muscles and the GPi-LFP during rest and voluntary muscle activation was identified in M-D patients after GPi-DBS surgery and could reflect abnormal, e.g., increased GPi activity [47]. In another study, GPi recordings revealed a higher burst activity, which correlated with a higher preoperative severity of myoclonus in M-D patients in comparison to generalized dystonia patients, and thus seems to be specific for the myoclonus phenotype [54].

The hypothesis, that hypoactivation of the indirect pathway might contribute to the pathogenesis of M-D, is supported by findings of reduced striatal [123I]-Iodobenzamide binding, reflecting lower dopamine D2 receptor binding [39]. After treatment with GPi-DBS for 2 years, striatal dopamine D2 receptor binding did not decrease further, as it was the case in M-D patients without GPi-DBS, suggesting a stabilization on dopamine pathways due to GPi-DBS [30].

Defective basal ganglia mediated motor inhibition, investigated with a “Go/NoGo” task, where it is required to react to a “Go” cue and to suppress a reaction to a “NoGo” cue, has been found in a group of SGCE-positive and SGCE-negative M-D patients, suggesting that these abnormalities might be related to phenotype rather than genotype [46].

The role of the basal ganglia, especially the GPi, during motor inhibition in M-D was further undermined using a “stop signal” task, which investigates reactive (stop an already started action) and proactive (action inhibition during action preparation) inhibition [55]. M-D patients with GPi-DBS showed impaired reactive inhibition and M-D patients without GPi-DBS exhibited impaired proactive inhibition [55]. The impairments in reactive inhibition correlated with the intrinsic/preoperative severity of myoclonus. This could indicate that GPi-DBS on the one hand improves proactive inhibition, but on the other hand impairs reactive inhibition. Moreover, response inhibition involves the hyper-direct and the direct pathway and potentially also the striato-nigral pathway, which is known to be modulated by GPi-DBS [55].

To sum up, results of neurophysiological, behavioral, and imaging studies, as well as treatment effects of DBS, point to a subcortical deficit in M-D. Especially a dysfunction of the basal ganglia circuits, including the GPi, might contribute to abnormal excitatory output and connectivity with other subcortical and cortical output regions.

Cerebellar alterations in myoclonus-dystonia

Besides the basal ganglia and its connections, there is emerging evidence that the cerebellum might be involved in the pathogenesis of M-D [40, 4146, 56, 58, 60]. With regards to structural brain imaging, a VBM study revealed a higher gray matter signal in the left motor cerebellum (lobules V and VI) in M-D patients compared to healthy control participants [59]. Furthermore, changes of white matter bilateral in subthalamic areas of the brain stem, connecting the cerebellum with the basal ganglia, were observed via VBM and diffusion tensor imaging (DTI) [45].

Increased metabolic activity in the parasagittal cerebellum has been found in M-D patients, but not in asymptomatic SCGE-positive mutation carriers and healthy controls [43]. Furthermore, these metabolic increases were also found in patients with posthypoxic myoclonus, which was interpreted as phenotype- (i.e., myoclonus) specific cerebellar metabolic abnormality [43].

In functional magnetic resonance imaging (fMRI) studies using different motor tasks, cerebellar regions were hyperactive in M-D patients [40, 44, 46], and asymptomatic SGCE-positive mutation carriers, who did not report symptoms by themselves, but had subtle signs of M-D in a detailed motor examination [41]. These cerebellar hyperactivations might be genotype-specific, as they also allowed separating asymptomatic SGCE mutation carriers from healthy controls [41], and SGCE-positive from SGCE-negative M-D patients [46].

Cerebellar function can also be assessed with the help of behavioral tasks, as the cerebellum contributes to non-declarative forms of learning, e.g., motor learning or classical conditioning [66]. Classical conditioning can be investigated in an experimental setting with an eyeblink conditioning task [67]. Thereby, the connection between an neutral conditioned stimulus (CS), usually a tone, and a response to be conditioned (conditioned response), a blink (e.g., triggered by an air puff or electrical stimulus) is learned and subsequently unlearned. It is thought, that eyeblink conditioning is mediated via brainstem-cerebellar connections, e.g., between pontine nuclei, the inferior olive, and the cerebellum [66]. Studies in patients with cerebellar lesions suggest a strong cerebellar involvement in the acquisition of the conditioned response [66]. Moreover, functional imaging of healthy participants showed activation in the cerebellar lobules VI, Crus I and II, VIIb, VIII, interposed nuclei, and dentate nuclei during acquisition of the conditioned response [68].

M-D patients showed decreased cerebellar motor learning, reflected by reduced acquisition of the conditioned response, and therefore, a poorer performance in the eyeblink conditioning task [60]. After consuming alcohol, myoclonus and the acquisition of the conditioned response improved in M-D patients, but decreased in healthy controls [60]. A proposed mechanism might be, that alcohol probably increases inhibitory GABAergic transmission and improves dysfunctional cerebellar disinhibition in M-D, but disrupts physiological cerebellar activity in the healthy brain [60]. This hypothesis of an “overactive”, disinhibited cerebellum might be supported by the fMRI results of cerebellar hyperactivation during motor tasks as described above [40, 41, 44, 46].

Contrary to these findings, in another study, a smaller cohort of M-D patients showed normal eyeblink conditioning acquisition/learning rates, but lower extinction rates, i.e., difficulties in unlearning the conditioned response [52]. Methodological differences (air vs. electrical stimulation, trial numbers) and differences in sample size and characteristics should be kept in mind, when interpreting and comparing results [52, 60].

Other blink reflex measurements such as the blink reflex recovery cycle, which analyzes brain stem-basal ganglia interactions, showed a greater/faster mean recovery [50]. However, in a larger group of M-D patients, the blink reflex recovery cycle was normal, suggesting normal brain stem-basal ganglia interactions [60], and a more pronounced cerebellar deficit in M-D [60].

Another technique to assess cerebellar motor learning is saccadic adaptation [56]. Adaptation in general requires learning of an artificially induced movement error [69]. In the case of saccadic adaptation, a visual target is moved after movement initiation, so a corrective eye movement, i.e., a saccade, must be learned [69]. In a backward reactive saccade adaptation task, which involves the cerebellar vermis (lobules VI and VII), M-D patients showed slower saccadic adaptation [56]. Interestingly, impairment in a saccadic adaptation task can also be observed in healthy participants following inhibitory repetitive transcranial magnetic stimulation (rTMS) of the posterior vermis [70]. This suggests reduced function of the posterior vermis in M-D patients, which is also consistent with the observed metabolic differences along the parasagittal cerebellum in M-D patients as described above [43].

To test, if potential deficits in cerebellar adaptation function might also affect limb adaptation, visuomotor or forcefield perturbation in symptomatic body parts was examined [57]. In comparison to the deficits in saccadic adaptation [56], no differences were found in other tasks, suggesting that deficits in saccadic adaptation are not easily translatable to other body regions. However, potential deficits in limb adaptation might be more subtle and need to be investigated in larger sample sizes, as the current study only included five patients [57]. Also, methodological differences, and the potential contribution of different brain regions have to be kept in mind [57].

The association between the cerebellum and motor learning deficits in M-D is also supported by results from a paternally-inherited cerebellar Purkinje cell-specific Sgce conditional knockout mouse model [71]. These mice showed motor learning deficits, whereby, paternally-inherited Sgce heterozygous (non-conditional) knockout mice showed additional myoclonus, psychiatric alterations (depression- and anxiety-like behaviors), and motor impairments [72]. This might be an indication, that an impairment of motor learning is mostly influenced by a loss of function of cerebellar SGCE, whereas defective SGCE in other brain regions might contribute to the development of other symptoms of M-D, like myoclonus [71, 72].

In conclusion, although the cerebellum (and its connections to other brain areas) is recognized as a region of particular interest in M-D, its contribution to M-D symptoms remains largely unclear. Imaging data showed that the cerebellum is a promising region to discriminate between SGCE-positive mutation carriers and healthy controls, and SGCE-positive and SGCE-negative M-D patients. In addition, behavioral tasks such as eye-blink conditioning and saccadic adaptation are an important research strategy as they are less prone to motion artefacts than imaging data and can be used in patients who are not suitable for MRI.

Subcortical-cortical network alterations in myoclonus-dystonia

There is emerging evidence, that dystonias are sensorimotor disorders, as evidences, for instance, by sensory phenomena including symptom improvement by sensory tricks [73], or increased temporal discrimination thresholds, even in unaffected relatives of patients [74]. The cerebellum itself is involved in somatosensory processing, as it receives somatosensory input via the spinal cord, visual and auditory systems, and trigeminal nuclei [75, 76]. It monitors and adjusts executed movements by comparing planned movements (efference copy) and somatosensory feedback [76]. Thus, sensory deficits found in M-D might be influenced by cerebellar and basal ganglia dysfunction in M-D.

In this regard, in addition to motor learning and motor inhibition difficulties, M-D patients have also shown sensory abnormalities in the visual and tactile domain [58, 59].

Visual sensory processing seems to be impaired in M-D patients with GPi-DBS, who had higher visual temporal discrimination thresholds than M-D patients without GPi-DBS and healthy control participants [59]. Sensory accumulation, which is a computational analysis of the response times connected to the gain of visual sensory information, was lower in the whole M-D patient group compared to healthy controls in the visual temporal discrimination task, and also in a movement orientation and a movement speed discrimination task [59]. Patients with more severe myoclonus showed lower sensory accumulation in the visual temporal discrimination task, and had a thicker primary visual cortex. Because the deficits in visual sensory processing were correlated with the thickness of the primary visual cortex, a brain area elementary responsible for visual perception, the authors interpreted these abnormalities as a primary part of M-D, and not as a secondary phenomenon [59]. Moreover, the role of tactile sensory processing in M-D is underscored by another study, which showed increased tactile temporal discrimination thresholds with preserved tactile perception thresholds in these patients [58].

Furthermore, besides cerebellar hyperactivation during motor tasks (as described above), hyperactivation of the somatosensory cortex was found in M-D patients [40, 41], and further separated them from asymptomatic SGCE mutation carriers [41].

Moreover, the cerebellum is also connected with the motor cortex via dentato-thalamo-cortical pathways that are predominantly facilitatory, whereas connections between cerebellar Purkinje cells and the dentate nucleus are inhibitory [77].

Abnormal cerebellar activity could potentially influence the motor cortex, which could result in defective motor cortex and corticospinal excitability.

Transcranial magnetic stimulation (TMS), a non-invasive brain stimulation technique, is suitable to investigate cerebellar-primary motor cortex connections. The majority of studies analyzed motor cortex excitability by measuring resting or active motor thresholds [4953], or intracortical inhibitory processes [4953].

Measures at rest were normal in M-D across studies, e.g., resting motor threshold [52] and recruitment curve of motor evoked potentials [53]. Measures with muscular preactivation, e.g., active motor threshold, were normal [52, 53], or, in contrast, increased [51, 52]. Myoclonic symptoms, as a part of M-D, appear more frequently during action compared to rest [38]. The increased active motor thresholds, reflecting a reduced excitability of the axon membranes during muscle activation [52], might show, that the deficit in M-D is action-specific. In the context of the hypothesis of abnormal cerebellar hyperactivation, increased active motor thresholds could reflect increased Purkinje cell inhibition on the deep cerebellar nuclei, and therefore, an enhanced inhibition of the motor cortex [76], reflected by increased active motor thresholds. On the other hand, if human M-D is associated with a dysfunction, e.g., decreased activity, of cerebellar Purkinje cells, it might also reduce the inhibition of the dentate nucleus, and therefore, increase the faciliatory cerebellar-thalamo-cortical loop and its excitatory output on the motor cortex. Although this would fit with the hypothesis of cerebellar hyperactivation and the hyperkinetic symptoms of M-D, i.e., myoclonic jerks and dystonia, it does not explain increased active motor thresholds. However, contradictory findings might also be explained with methodological differences, as, e.g., the increased active motor thresholds have only been found using biphasic TMS pulses in one study [52]. Additionally, motor thresholds might not be sensitive enough to reveal potential (subtle) network deficits [78].

The majority of other TMS protocols investigating short-interval intracortical inhibition [49, 5153] and (short-interval) intracortical facilitation [49, 52, 53] were normal in different groups of M-D patients, suggesting intact cortical GABAAergic inhibitory and glutaminergic excitatory networks in M-D [49, 79, 80]. In addition, GABABergic inhibitory networks during action and rest [8183], investigated with silent periods [50, 53] and long-interval intracortical inhibition [49, 50], seem to be normal in M-D patients as well.

The above described method of coherence, referring to EMG-LFP investigations [47], can also be non-invasively applied with either the combination of EMG and EEG (to analyze cortico-muscular coherence) or of two EMG channels (to analyze intermuscular coherence), if, e.g., the application of an EEG is not possible due to data contamination because of muscle artifacts [64]. The investigations of EEG-EMG and EMG-EMG coherence can give insights into potentially altered (sub-) cortical neuronal activity, as different oscillations have different neuronal generators, e.g., the olivo-cerebellar system with frequencies between 6–12 Hz, and the primary motor cortex with frequencies between 15–30 Hz and 30–60 Hz [64].

In a group of M-D patients and non-affected SGCE mutation carriers, physiological EEG-EMG coherence in the 15–30 Hz frequency band was absent during muscular contractions [48]. This altered cortical activity may be influenced by subcortical dysfunction [48]. Furthermore, phenotype-specific alterations of intramuscular coherence, i.e., a significantly increased EMG-EMG coherence (3–10 Hz), were present in M-D patients with pronounced dystonia, but not in those with mild dystonia and/or predominating myoclonus [48]. This might indicate altered subcortical activity, as increased EMG-GPi-LFP coherence was found in M-D patients as well (as previously reported), suggesting abnormal GPi activity [47]. With regards to the hypothesis of cerebellar hyperactivation in M-D, the increased coherence might also be influenced by altered olivo-cerebellar oscillations, because these occur at a similar frequency as those associated with increased coherence in M-D [64].

Overall, M-D patients show sensory dysfunction, reflected by altered visual and tactile processing on a behavioral level, and structural and functional imaging abnormalities. TMS results point towards an action-specific network deficit. Cortical GABAA- and GABABergic inhibitory networks, and excitatory glutaminergic networks seem to be unaffected in M-D. Abnormal cortico- and intermuscular coherence in M-D might be a consequence of altered subcortical activity.

Discussion of the reviewed literature and future perspectives

Behavioral, neurophysiological, and imaging studies in patients with M-D are scarce, used different modalities/protocols, and, thus, revealed partially heterogeneous results. Nevertheless, several studies point towards subcortical abnormalities, e.g., alterations of the cerebellum, the basal ganglia and their connections. However, so far, it remains unclear whether the described abnormalities are causal influencing other brain areas, e.g., the sensorimotor cortex, via cerebello-basal ganglia-thalamo-cortical connections, or whether the findings are a consequence of myoclonus and dystonia.

The cerebellum is linked with the basal ganglia, e.g., the cerebellar cortex is connected with the STN, and the dentate nucleus is directly connected with the substantia nigra and the GPi [84]. Thus, abnormal cerebellar activity might have a direct influence on the basal ganglia and vice versa [84]. Results from studies in non-human primates and rodents provide support, that cerebellar output mainly targets the indirect pathway of the basal ganglia [85]. Injection of rabies virus into the putamen and external segment of the globus pallidus (GPe) of macaques revealed a disynaptic connection between the output of the dentate nucleus and the striatum, and a trisynaptic connection with the GPe likely via intralaminar nuclei and/or the ventroanterior/-lateral thalamus [86]. Therefore, basal ganglia abnormalities in M-D might be influenced by abnormal cerebellar activity or vice versa.

To answer the question, if (cerebellar) alterations are a phenotype- or genotype-specific consequence, it is important to include asymptomatic SGCE mutation carriers and/or patients with myoclonus and/or dystonic features without SGCE mutations. This has been done previously in a few studies, however, the sample sizes were rather small and direct comparisons of the different groups were mostly missing, complicating statistical evaluation and interpretability of the results. One imaging study compared patients with M-D with other patient groups, e.g., with different genetic forms of dystonia, posthypoxic myoclonus, and also with asymptomatic SGCE mutation carriers [43]. The identified shared or delineating metabolic abnormalities are a meaningful example to define phenotype- or genotype-associated characteristics of M-D, e.g., myoclonus-associated increases in the parasagittal cerebellum, which were found in SGCE-positive M-D patients and not in asymptomatic SGCE mutation carriers on the one hand, and were shared with patients with posthypoxic myoclonus on the other hand [43]. Comparisons to other cerebellar disorders such as ataxia, cerebellar stroke, and essential tremor would be interesting to better understand potential cerebellar deficits in M-D. Moreover, it would be interesting to compare patients with the M-D phenotype but other monogenic causes, i.e., different pathogenic variants in SGCE, VPS16, KCTD17, and others genes [20], to further analyze phenotype- and genotype-associated mechanisms.

With regards to the clinical characterization of affected patients, it would be preferable to use video rating by movement disorders specialists, who are blinded with regards to genetic status, disease group, and treatment. This could be supplemented by sensor-based technology [87, 88], such as accelerometry or electromyography, and also video-based technology with infra-red cameras or subsequent video evaluation with artificial intelligence [89], to render clinical assessment more objective and to potentially identify more subtle abnormalities, e.g., in asymptomatic mutation carriers, or of symptom characteristics that cannot be assessed reliably on clinical grounds alone, e.g., the duration of myoclonic jerks.

Results of imaging studies partly revealed conflicting results, as some studies found, e.g., differences in gray and/or white matter, whereas others did not. One explanation might be heterogenous phenotypic presentation of M-D given that patients with the same mutation can have different symptoms. Even in the absence of structural abnormalities in M-D patients compared to healthy controls, correlations between symptom severity and putaminal volume have been reported [42]. Such correlations might be more sensitive markers of phenotype-specific alterations than volume per se. Another explanation might be, that especially with imaging techniques, severely affected M-D patients, e.g., those with severe cervical or mobile dystonia, and/or severe myoclonus, are difficult to examine. Subclinical alterations of neural volume in less affected patients, which might be associated with M-D, but were still normal (i.e., not significantly different) compared to healthy controls, might reach significance through correlation analysis with clinical data, and the inclusion of more severely affected patients.

However, especially when arguing for larger M-D cohorts including patients with more severe phenotypes, the technical difficulties, i.e., artifacts in the data collection, due to the hyperkinetic motor symptoms and psychiatric comorbidities such as anxiety disorders, which can additionally hinder data collection, have to be considered when interpreting study results.

Small sample sizes, as seen in most M-D studies, are usually accompanied with low statistical power of results, which reduces the likelihood that a statistically significant effect is a “true” effect and vice versa [90]. Also, if an underpowered study finds a true effect, it is likely that the size of the effect is exaggerated, which has been referred to as “effect inflation” or “the winners curse” [90]. This can effect replication studies, which calculate their sample sizes with the inflated effect size and then find smaller effects, which are closer to the true effect sizes [90]. Effect inflation might also have happened in the reviewed literature, as effects found in studies with smaller sample sizes could not be replicated in studies with larger sample sizes and vice versa, e.g., studies investigating the blink-reflex recovery cycle and saccadic- and limb-adaptation [50, 56, 57, 60].

Moreover, effects of certain pharmacological drugs and alcohol on symptoms and brain excitability/connectivity alterations have not sufficiently been examined in M-D. Except for one study investigating the clinical and neurophysiologic effects of alcohol in M-D [60], there are no studies looking at the efficacy of pharmacological therapies in modulating neurophysiological or imaging characteristics. However, M-D patients with GPi-DBS have been examined neurophysiologically and compared to patients without GPi-DBS [30, 55, 59]. Longitudinal comparisons of patients pre and post DBS with longer follow-up periods after implantation are desirable, as described, for example, in the study investigating striatal D2 receptor binding [30]. Moreover, research on patients during implantation and/or with externalized electrodes can provide further insights in the activity of subcortical hubs of the motor network and also of direct DBS effects. However, the additional load and risks for patients have to be kept in mind.

Most M-D studies were unimodal, i.e., used only one technique, e.g., either imaging, behavioral, or one particular neurophysiological paradigm. Studies with multimodal approaches are largely missing, but could be helpful to obtain further clinical/behavioral-neurophysiological/imaging-genotypic correlations.

Identifying abnormal neuronal, e.g., cerebellar/basal ganglia activity either as being causal or as a consequence of symptoms in M-D, does not only give us a chance to further understand the pathophysiology of M-D but also to identify potential targets for non-invasive neuromodulation techniques, e.g., for M-D patients who are not eligible for DBS. Neuromodulation techniques make use of inducing neuronal plasticity, and therefore, modifying neuronal activity via, e.g., rTMS or transcranial electrical stimulation [91]. In different groups of patients with dystonia, neuronal plasticity seems to be increased [91].

In this regard, non-invasive brain stimulation techniques can be used to influence the excitability of brain regions such as the VIM, the GPi, or the cerebellum. As the VIM and the GPi are hard to reach by non-invasive stimulation, transcranial focused ultrasound protocols, either as an ablation or as a neuromodulation method, might be an interesting alternative [92]. A recently published study, examining patients with tremor-dominant Parkinson’s disease or essential tremor, showed that high-intensity MRI-guided focused ultrasound ablation of the VIM reduced tremor and was also associated with functional reorganization of specific cerebellar regions, and therefore, alterations of the cerebello-thalamo-cortical network [93]. With regards to more superficial brain regions like the posterior cerebellum, also transcranial electrical and magnetic stimulation devices could be used to alter cerebellar excitability and thus influence cerebellar output [9496]. Transcranial electrical stimulation, which can be fixed to the participants head, can be a reasonable alternative to stimulate hyperkinetic patients such as M-D. Different cerebellar stimulation techniques have been extensively evaluated in healthy participants, with cerebellar transcranial alternating current stimulation appearing to be the most robust method to alter cerebellar activity [9496] and are currently investigated in M-D.

In summary, cerebellar-basal ganglia-thalamo-cortical networks seem defective in M-D. However, some major questions are still unanswered and justify further research efforts. Till now, it is unclear whether the cerebellum is the major generator causing symptoms, or affected secondarily with other major players causing symptoms. Moreover, it is unsolved whether the neurophysiological and imaging alterations are the cause or the consequence of the phenotype and how they are related to the genotype.

Therefore, future studies should include patients with phenotypes similar to M-D but different monogenic causes. Moreover, larger groups of symptomatic and asymptomatic mutation carriers should be examined in comparison to healthy non-mutation carriers. Modulation of cerebellar activity of these participants via non-invasive plasticity induction could help to analyze the role of the cerebellum further. Furthermore, future studies should ideally aim for a combination of clinical, neurophysiological, and imaging readout parameters. A correlation of clinical improvement with the modifiability of neurophysiological and imaging findings via plasticity induction might be helpful to explore disease-related mechanisms and guide the development of novel non-invasive treatment options.

Author contributions

FH contributed to data extraction and drafted and corrected the manuscript. SG contributed to data extraction and manuscript revising. AW contributed to data interpretation and to write, correct and revise the manuscript. AM contributed to correcting and revising the manuscript.

Conflict of interest

AW received funding from the German Research Foundation (DFG, WE5919/2-1, WE 5919/4-1, and FOR2698/2) and the Dystonia Medical Research Foundation. AW received an Edmond J Safra Movement Disorders Research Career Development Award from the Micheal J Fox Foundation. AM received commercial research support from Pharm Allergan, Ipsen, Merz Pharmaceuticals, Actelion; honoraria for lectures from GlaxoSmithKline, Desitin, Teva, Takeda. AM was consultant for Desitin, Admedicum, PTC Therapeutics, Novartis, Barmer; AM was also supported by the Tourette Syndrome Association (Germany), Interessenverband Tourette Syndrom (Germany), CHDI (Kiel, Germany). AM further received academic research support from the German Research Foundation [DFG; projects 1692/3-1, 4-1, SFB 936 and FOR 2698 (project numbers: 396914663, 396577296, and 396474989)] and the European Reference Network—Rare Neurological Diseases (ERN—RND; Project ID No 739510). He receives royalties for the book Neurogenetics (Oxford University Press) and is on advisory Boards from the German Tourette syndrome Association, the Alliance of patients with chronic rare diseases, and Novartis.

The remaining 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.

References

1. Asmus, F, and Gasser, T. Dystonia-plus syndromes. Eur J Neurol (2010) 17(1):37–45. doi:10.1111/j.1468-1331.2010.03049.x

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Roze, E, Apartis, E, Clot, F, Dorison, N, Thobois, S, Guyant-Marechal, L, et al. Myoclonus-dystonia: clinical and electrophysiologic pattern related to SGCE mutations. Neurology (2008) 70(13):1010–6. doi:10.1212/01.wnl.0000297516.98574.c0

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Vanegas, MI, Marcé-Grau, A, Martí-Sánchez, L, Mellid, S, Baide-Mairena, H, Correa-Vela, M, et al. Delineating the motor phenotype of SGCE-myoclonus dystonia syndrome. Parkinsonism Relat Disord (2020) 80:165–74. doi:10.1016/j.parkreldis.2020.09.023

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Correa-Vela, M, Carvalho, J, Ferrero-Turrion, J, Cazurro-Gutiérrez, A, Vanegas, M, Gonzalez, V, et al. Early recognition of SGCE -myoclonus–dystonia in children. Dev Med Child Neurol (2023) 65(2):207–14. doi:10.1111/dmcn.15298

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Frucht, SJ, and Riboldi, GM. Alcohol-responsive hyperkinetic movement disorders-a mechanistic hypothesis. Tremor Hyperkinetic Mov N Y N (2020) 10:47. doi:10.5334/tohm.560

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Foncke, EMJ, Cath, D, Zwinderman, K, Smit, J, Schmand, B, and Tijssen, M. Is psychopathology part of the phenotypic spectrum of myoclonus-dystonia? a study of a large Dutch M-D family. Cogn Behav Neurol Off J Soc Behav Cogn Neurol (2009) 22(2):127–33. doi:10.1097/WNN.0b013e3181a7228f

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Kim, JY, Lee, WW, Shin, CW, Kim, HJ, Park, SS, Chung, SJ, et al. Psychiatric symptoms in myoclonus-dystonia syndrome are just concomitant features regardless of the SGCE gene mutation. Parkinsonism Relat Disord (2017) 42:73–7. doi:10.1016/j.parkreldis.2017.06.014

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Peall, KJ, Smith, DJ, Kurian, MA, Wardle, M, Waite, AJ, Hedderly, T, et al. SGCE mutations cause psychiatric disorders: clinical and genetic characterization. Brain J Neurol (2013) 136(1):294–303. doi:10.1093/brain/aws308

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Peall, KJ, Dijk, JM, Saunders-Pullman, R, Dreissen, YEM, van Loon, I, Cath, D, et al. Psychiatric disorders, myoclonus dystonia and SGCE: an international study. Ann Clin Transl Neurol (2016) 3(1):4–11. doi:10.1002/acn3.263

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Timmers, ER, Smit, M, Kuiper, A, Bartels, AL, van der Veen, S, van der Stouwe, AMM, et al. Myoclonus-dystonia: distinctive motor and non-motor phenotype from other dystonia syndromes. Parkinsonism Relat Disord (2019) 69:85–90. doi:10.1016/j.parkreldis.2019.10.015

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Timmers, ER, Peall, KJ, Dijk, JM, Zutt, R, Tijssen, CC, Bergmans, B, et al. Natural course of myoclonus-dystonia in adulthood: stable motor signs but increased psychiatry. Mov Disord Off J Mov Disord Soc (2020) 35(6):1077–8. doi:10.1002/mds.28033

CrossRef Full Text | Google Scholar

12. van Tricht, MJ, Dreissen, YEM, Cath, D, Dijk, JM, Contarino, MF, van der Salm, SM, et al. Cognition and psychopathology in myoclonus-dystonia. J Neurol Neurosurg Psychiatry (2012) 83(8):814–20. doi:10.1136/jnnp-2011-301386

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Weissbach, A, Kasten, M, Grunewald, A, Bruggemann, N, Trillenberg, P, Klein, C, et al. Prominent psychiatric comorbidity in the dominantly inherited movement disorder myoclonus-dystonia. Park Relat Disord (2013) 19(4):422–5. doi:10.1016/j.parkreldis.2012.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Hess, CW, Raymond, D, Aguiar Pde, C, Frucht, S, Shriberg, J, Heiman, GA, et al. Myoclonus-dystonia, obsessive-compulsive disorder, and alcohol dependence in SGCE mutation carriers. Neurology (2007) 68(7):522–4. doi:10.1212/01.wnl.0000253188.76092.06

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Kinugawa, K, Vidailhet, M, Clot, F, Apartis, E, Grabli, D, and Roze, E. Myoclonus-dystonia: an update. Mov Disord (2009) 24(4):479–89. doi:10.1002/mds.22425

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Lane, V, Lane, M, Sturrock, A, and Rickards, H. Understanding psychiatric disorders in idiopathic and inherited (monogenic) forms of isolated and combined dystonia: a systematic review. J Neuropsychiatry Clin Neurosci (2021) 33(4):295–306. doi:10.1176/appi.neuropsych.20110293

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Peall, KJ, Waite, AJ, Blake, DJ, Owen, MJ, and Morris, HR. Psychiatric disorders, myoclonus dystonia, and the epsilon-sarcoglycan gene: a systematic review. Mov Disord (2011) 26(10):1939–42. doi:10.1002/mds.23791

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Saunders-Pullman, R, Shriberg, J, Heiman, G, Raymond, D, Wendt, K, Kramer, P, et al. Myoclonus dystonia: possible association with obsessive-compulsive disorder and alcohol dependence. Neurology (2002) 58(2):242–5. doi:10.1212/wnl.58.2.242

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Asmus, F, Zimprich, A, Naumann, M, Berg, D, Bertram, M, Ceballos-Baumann, A, et al. Inherited Myoclonus-dystonia syndrome: narrowing the 7q21-q31 locus in German families. Ann Neurol (2001) 49(1):121–4. doi:10.1002/1531-8249(200101)49:1<121::aid-ana20>3.0.co;2-8

PubMed Abstract | CrossRef Full Text | Google Scholar

20. van der Veen, S, Zutt, R, Klein, C, Marras, C, Berkovic, SF, Caviness, JN, et al. Nomenclature of genetically determined myoclonus syndromes: recommendations of the international Parkinson and movement disorder society task force. Mov Disord (2019) 34(11):1602–13. doi:10.1002/mds.27828

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Xiao, J, Vemula, SR, Xue, Y, Khan, MM, Carlisle, FA, Waite, AJ, et al. Role of major and brain-specific Sgce isoforms in the pathogenesis of myoclonus-dystonia syndrome. Neurobiol Dis (2017) 98:52–65. doi:10.1016/j.nbd.2016.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Grabowski, M, Zimprich, A, Lorenz-Depiereux, B, Kalscheuer, V, Asmus, F, Gasser, T, et al. The epsilon-sarcoglycan gene (SGCE), mutated in myoclonus-dystonia syndrome, is maternally imprinted. Eur J Hum Genet EJHG (2003) 11(2):138–44. doi:10.1038/sj.ejhg.5200938

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Zimprich, A, Grabowski, M, Asmus, F, Naumann, M, Berg, D, Bertram, M, et al. Mutations in the gene encoding epsilon-sarcoglycan cause myoclonus-dystonia syndrome. Nat Genet (2001) 29(1):66–9. doi:10.1038/ng709

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Raymond, D, Saunders-Pullman, R, and Ozelius, L. SGCE myoclonus-dystonia. In: MP Adam, GM Mirzaa, RA Pagon, SE Wallace, LJ Bean, KW Grippet al. editors. GeneReviews®. Seattle (WA): University of Washington, Seattle (1993).

Google Scholar

25. Ritz, K, van Schaik, BD, Jakobs, ME, van Kampen, AH, Aronica, E, Tijssen, MA, et al. SGCE isoform characterization and expression in human brain: implications for myoclonus-dystonia pathogenesis? Eur J Hum Genet (2011) 19(4):438–44. doi:10.1038/ejhg.2010.206

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Gerschlager, W, and Brown, P. Myoclonus. Curr Opin Neurol (2009) 22(4):414–8. doi:10.1097/WCO.0b013e32832d9d4f

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Weissbach, A, Saranza, G, and Domingo, A. Combined dystonias: clinical and genetic updates. J Neural Transm Vienna Austria (2021) 128(4):417–29. doi:10.1007/s00702-020-02269-w

CrossRef Full Text | Google Scholar

28. Fearon, C, Peall, KJ, Vidailhet, M, and Fasano, A. Medical management of myoclonus-dystonia and implications for underlying pathophysiology. Parkinsonism Relat Disord (2020) 77:48–56. doi:10.1016/j.parkreldis.2020.06.016

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Azoulay-Zyss, J, Roze, E, Welter, ML, Navarro, S, Yelnik, J, Clot, F, et al. Bilateral deep brain stimulation of the pallidum for myoclonus-dystonia due to ε-sarcoglycan mutations: a pilot study. Arch Neurol (2011) 68(1):94–8. doi:10.1001/archneurol.2010.338

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Beukers, RJ, Contarino, MF, Speelman, JD, Schuurman, PR, Booij, J, and Tijssen, MAJ. Deep brain stimulation of the pallidum is effective and might stabilize striatal D(2) receptor binding in myoclonus-dystonia. Front Neurol (2012) 3:22. doi:10.3389/fneur.2012.00022

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Gruber, D, Kühn, AA, Schoenecker, T, Kivi, A, Trottenberg, T, Hoffmann, KT, et al. Pallidal and thalamic deep brain stimulation in myoclonus-dystonia. Mov Disord Off J Mov Disord Soc (2010) 25(11):1733–43. doi:10.1002/mds.23312

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Kosutzka, Z, Tisch, S, Bonnet, C, Ruiz, M, Hainque, E, Welter, ML, et al. Long-term GPi-DBS improves motor features in myoclonus-dystonia and enhances social adjustment. Mov Disord Off J Mov Disord Soc (2019) 34(1):87–94. doi:10.1002/mds.27474

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Krause, P, Koch, K, Gruber, D, Kupsch, A, Gharabaghi, A, Schneider, GH, et al. Long-term effects of pallidal and thalamic deep brain stimulation in myoclonus dystonia. Eur J Neurol (2021) 28(5):1566–73. doi:10.1111/ene.14737

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Tisch, S, and Kumar, KR. Pallidal deep brain stimulation for monogenic dystonia: the effect of gene on outcome. Front Neurol (2021) 11:630391. doi:10.3389/fneur.2020.630391

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Vidailhet, M, Jutras, MF, Roze, E, and Grabli, D. Deep brain stimulation for dystonia. Handb Clin Neurol (2013) 116:167–87. doi:10.1016/B978-0-444-53497-2.00014-0

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Wang, X, and Yu, X. Deep brain stimulation for myoclonus dystonia syndrome: a meta-analysis with individual patient data. Neurosurg Rev (2021) 44:451–62. doi:10.1007/s10143-019-01233-x

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Zhang, YQ, Wang, JW, Wang, YP, Zhang, XH, and Li, JP. Thalamus stimulation for myoclonus dystonia syndrome: five cases and long-term follow-up. World Neurosurg (2019) 122:e933–9. doi:10.1016/j.wneu.2018.10.177

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Menozzi, E, Balint, B, Latorre, A, Valente, EM, Rothwell, JC, and Bhatia, KP. Twenty years on: myoclonus-dystonia and ε-sarcoglycan - neurodevelopment, channel, and signaling dysfunction. Mov Disord Off J Mov Disord Soc (2019) 34(11):1588–601. doi:10.1002/mds.27822

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Beukers, RJ, Booij, J, Weisscher, N, Zijlstra, F, van Amelsvoort, TMJ, and Tijssen, MJ. Reduced striatal D2 receptor binding in myoclonus-dystonia. Eur J Nucl Med Mol Imaging (2009) 36(2):269–74. doi:10.1007/s00259-008-0924-9

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Beukers, RJ, Foncke, EMJ, van der Meer, JN, Nederveen, AJ, de Ruiter, MB, Bour, LJ, et al. Disorganized sensorimotor integration in mutation-positive myoclonus-dystonia: a functional magnetic resonance imaging study. Arch Neurol (2010) 67(4):469–74. doi:10.1001/archneurol.2010.54

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Beukers, RJ, Foncke, EM, van der Meer, JN, Veltman, DJ, and Tijssen, MA. Functional magnetic resonance imaging evidence of incomplete maternal imprinting in myoclonus-dystonia. Arch Neurol (2011b) 68(6):802–5. doi:10.1001/archneurol.2011.23

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Beukers, RJ, van der Meer, JN, van der Salm, SM, Foncke, EM, Veltman, DJ, and Tijssen, MAJ. Severity of dystonia is correlated with putaminal gray matter changes in myoclonus-dystonia. Eur J Neurol (2011a) 18(6):906–12. doi:10.1111/j.1468-1331.2010.03321.x

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Carbon, M, Raymond, D, Ozelius, L, Saunders-Pullman, R, Frucht, S, Dhawan, V, et al. Metabolic changes in DYT11 myoclonus-dystonia. Neurology (2013) 80(4):385–91. doi:10.1212/WNL.0b013e31827f0798

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Nitschke, MF, Erdmann, C, Trillenberg, P, Sprenger, A, Kock, N, Sperner, J, et al. Functional MRI reveals activation of a subcortical network in a 5-year-old girl with genetically confirmed myoclonus-dystonia. Neuropediatrics (2006) 37(2):79–82. doi:10.1055/s-2006-924109

PubMed Abstract | CrossRef Full Text | Google Scholar

45. van der Meer, JN, Beukers, RJ, van der Salm, SMA, Caan, MWA, Tijssen, MAJ, and Nederveen, AJ. White matter abnormalities in gene-positive myoclonus-dystonia. Mov Disord Off J Mov Disord Soc (2012) 27(13):1666–72. doi:10.1002/mds.25128

CrossRef Full Text | Google Scholar

46. van der Salm, SMA, van der Meer, JN, Nederveen, AJ, Veltman, DJ, van Rootselaar, AF, and Tijssen, MAJ. Functional MRI study of response inhibition in myoclonus dystonia. Exp Neurol (2013) 247:623–9. doi:10.1016/j.expneurol.2013.02.017

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Foncke, EMJ, Bour, LJ, Speelman, JD, Koelman, JHTM, and Tijssen, MAJ. Local field potentials and oscillatory activity of the internal globus pallidus in myoclonus-dystonia. Mov Disord Off J Mov Disord Soc (2007a) 22(3):369–76. doi:10.1002/mds.21284

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Foncke, EMJ, Bour, LJ, van der Meer, JN, Koelman, JHTM, and Tijssen, MAJ. Abnormal low frequency drive in myoclonus-dystonia patients correlates with presence of dystonia. Mov Disord Off J Mov Disord Soc (2007b) 22(9):1299–307. doi:10.1002/mds.21519

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Li, JY, Cunic, DI, Paradiso, G, Gunraj, C, Pal, PK, Lang, AE, et al. Electrophysiological features of myoclonus-dystonia. Mov Disord (2008) 23(14):2055–61. doi:10.1002/mds.22273

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Marelli, C, Canafoglia, L, Zibordi, F, Ciano, C, Visani, E, Zorzi, G, et al. A neurophysiological study of myoclonus in patients with DYT11 myoclonus-dystonia syndrome. Mov Disord (2008) 23(14):2041–8. doi:10.1002/mds.22256

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Meunier, S, Lourenco, G, Roze, E, Apartis, E, Trocello, J, and Vidailhet, M. Cortical excitability in DYT-11 positive myoclonus dystonia. Mov Disord (2008) 23(5):761–4. doi:10.1002/mds.21954

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Popa, T, Milani, P, Richard, A, Hubsch, C, Brochard, V, Tranchant, C, et al. The neurophysiological features of myoclonus-dystonia and differentiation from other dystonias. JAMA Neurol (2014) 71(5):612–9. doi:10.1001/jamaneurol.2014.99

PubMed Abstract | CrossRef Full Text | Google Scholar

53. van der Salm, SMA, van Rootselaar, AF, Foncke, EMJ, Koelman, JHTM, Bour, LJ, Bhatia, KP, et al. Normal cortical excitability in Myoclonus-Dystonia--a TMS study. Exp Neurol (2009) 216(2):300–5. doi:10.1016/j.expneurol.2008.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Welter, ML, Grabli, D, Karachi, C, Jodoin, N, Fernandez-Vidal, S, Brun, Y, et al. Pallidal activity in myoclonus dystonia correlates with motor signs. Mov Disord Off J Mov Disord Soc (2015) 30(7):992–6. doi:10.1002/mds.26244

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Atkinson-Clement, C, Tarrano, C, Porte, CA, Wattiez, N, Delorme, C, McGovern, EM, et al. Dissociation in reactive and proactive inhibitory control in Myoclonus dystonia. Sci Rep (2020) 10(1):13933. doi:10.1038/s41598-020-70926-x

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Hubsch, C, Vidailhet, M, Rivaud-Péchoux, S, Pouget, P, Brochard, V, Degos, B, et al. Impaired saccadic adaptation in DYT11 dystonia. J Neurol Neurosurg Psychiatry (2011) 82(10):1103–6. doi:10.1136/jnnp.2010.232793

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Sadnicka, A, Galea, JM, Chen, JC, Warner, TT, Bhatia, KP, Rothwell, JC, et al. Delineating cerebellar mechanisms in DYT11 myoclonus-dystonia. Mov Disord Off J Mov Disord Soc (2018) 33(12):1956–61. doi:10.1002/mds.27517

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Tarrano, C, Lamy, JC, Delorme, C, McGovern, EM, Atkinson-Clement, C, Brochard, V, et al. Tactile temporal discrimination is impaired in myoclonus-dystonia. Mov Disord Off J Mov Disord Soc (2020b) 35(12):2356–7. doi:10.1002/mds.28253

CrossRef Full Text | Google Scholar

59. Tarrano, C, Wattiez, N, Delorme, C, McGovern, EM, Brochard, V, Thobois, S, et al. Visual sensory processing is altered in myoclonus dystonia. Mov Disord (2020a) 35(1):151–60. doi:10.1002/mds.27857

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Weissbach, A, Werner, E, Bally, JF, Tunc, S, Löns, S, Timmann, D, et al. Alcohol improves cerebellar learning deficit in myoclonus-dystonia: a clinical and electrophysiological investigation. Ann Neurol (2017) 82(4):543–53. doi:10.1002/ana.25035

PubMed Abstract | CrossRef Full Text | Google Scholar

61. van der Veen, S, Caviness, JN, Dreissen, YEM, Ganos, C, Ibrahim, A, Koelman, JHTM, et al. Myoclonus and other jerky movement disorders. Clin Neurophysiol Pract (2022) 7:285–316. doi:10.1016/j.cnp.2022.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Cassim, F, and Houdayer, E. Neurophysiology of myoclonus. Neurophysiol Clin Neurophysiol (2006) 36(5):281–91. doi:10.1016/j.neucli.2006.10.001

CrossRef Full Text | Google Scholar

63. Simonyan, K. Neuroimaging applications in dystonia. Int Rev Neurobiol (2018) 143:1–30. doi:10.1016/bs.irn.2018.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Grosse, P, Cassidy, MJ, and Brown, P. EEG-EMG, MEG-EMG and EMG-EMG frequency analysis: physiological principles and clinical applications. Clin Neurophysiol Off J Int Fed Clin Neurophysiol (2002) 113(10):1523–31. doi:10.1016/s1388-2457(02)00223-7

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Liu, J, Sheng, Y, and Liu, H. Corticomuscular coherence and its applications: a review. Front Hum Neurosci (2019) 13:100. doi:10.3389/fnhum.2019.00100

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Gerwig, M, Kolb, FP, and Timmann, D. The involvement of the human cerebellum in eyeblink conditioning. Cerebellum (2007) 6(1):38–57. doi:10.1080/14734220701225904

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Bracha, V, Zbarska, S, Parker, K, Carrel, A, Zenitsky, G, and Bloedel, JR. The cerebellum and eye-blink conditioning: learning versus network performance hypotheses. Neuroscience (2009) 162(3):787–96. doi:10.1016/j.neuroscience.2008.12.042

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Thürling, M, Kahl, F, Maderwald, S, Stefanescu, MR, Schlamann, M, Boele, HJ, et al. “Cerebellar cortex and cerebellar nuclei are concomitantly activated during eyeblink conditioning: a 7T fMRI study in humans”: correction. J Neurosci (2017) 37(40):9795–8. doi:10.1523/JNEUROSCI.2133-17.2017

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Prsa, M, and Thier, P. The role of the cerebellum in saccadic adaptation as a window into neural mechanisms of motor learning. Eur J Neurosci (2011) 33(11):2114–28. doi:10.1111/j.1460-9568.2011.07693.x

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Jenkinson, N, and Miall, RC. Disruption of saccadic adaptation with repetitive transcranial magnetic stimulation of the posterior cerebellum in humans. The Cerebellum (2010) 9(4):548–55. doi:10.1007/s12311-010-0193-6

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Yokoi, F, Dang, MT, Yang, G, Li, J, Doroodchi, A, Zhou, T, et al. Abnormal nuclear envelope in the cerebellar Purkinje cells and impaired motor learning in DYT11 myoclonus-dystonia mouse models. Behav Brain Res (2012) 227(1):12–20. doi:10.1016/j.bbr.2011.10.024

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Yokoi, F, Dang, MT, Li, J, and Li, Y. Myoclonus, motor deficits, alterations in emotional responses and monoamine metabolism in epsilon-sarcoglycan deficient mice. J Biochem (Tokyo) (2006) 140(1):141–6. doi:10.1093/jb/mvj138

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Newby, R, Muhamed, S, Alty, J, Cosgrove, J, Jamieson, S, Smith, S, et al. Geste antagoniste effects on motor performance in dystonia-A kinematic study. Mov Disord Clin Pract (2022) 9(6):759–64. doi:10.1002/mdc3.13505

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Kimmich, O, Molloy, A, Whelan, R, Williams, L, Bradley, D, Balsters, J, et al. Temporal discrimination, a cervical dystonia endophenotype: penetrance and functional correlates: temporal Discrimination in Cervical Dystonia. Mov Disord (2014) 29(6):804–11. doi:10.1002/mds.25822

PubMed Abstract | CrossRef Full Text | Google Scholar

75.In: ER Kandel, JH Schwartz, and T Jessell, editors. Principles of neural science. 4 ed. New York, NY: McGraw-Hill (2000). p. 1414.

Google Scholar

76. Roostaei, T, Nazeri, A, Sahraian, MA, and Minagar, A. The human cerebellum: a review of physiologic neuroanatomy. Neurol Clin (2014) 32(4):859–69. doi:10.1016/j.ncl.2014.07.013

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Galea, JM, Jayaram, G, Ajagbe, L, and Celnik, P. Modulation of cerebellar excitability by polarity-specific noninvasive direct current stimulation. J Neurosci Off J Soc Neurosci (2009) 29(28):9115–22. doi:10.1523/JNEUROSCI.2184-09.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Udupa, K, and Chen, R. Motor cortical circuits in Parkinson disease and dystonia. Handb Clin Neurol (2019) 161:167–86. doi:10.1016/B978-0-444-64142-7.00047-3

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Di Lazzaro, V, Oliviero, A, Saturno, E, Dileone, M, Pilato, F, Nardone, R, et al. Effects of lorazepam on short latency afferent inhibition and short latency intracortical inhibition in humans. J Physiol (2005) 564(2):661–8. doi:10.1113/jphysiol.2004.061747

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Ziemann, U, Chen, R, Cohen, LG, and Hallett, M. Dextromethorphan decreases the excitability of the human motor cortex. Neurology (1998) 51(5):1320–4. doi:10.1212/wnl.51.5.1320

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Chen, R, Cros, D, Curra, A, Di Lazzaro, V, Lefaucheur, JP, Magistris, MR, et al. The clinical diagnostic utility of transcranial magnetic stimulation: report of an IFCN committee. Clin Neurophysiol Off J Int Fed Clin Neurophysiol (2008) 119(3):504–32. doi:10.1016/j.clinph.2007.10.014

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Hupfeld, KE, Swanson, CW, Fling, BW, and Seidler, RD. TMS-induced silent periods: a review of methods and call for consistency. J Neurosci Methods (2020) 346:108950. doi:10.1016/j.jneumeth.2020.108950

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Werhahn, KJ, Kunesch, E, Noachtar, S, Benecke, R, and Classen, J. Differential effects on motorcortical inhibition induced by blockade of GABA uptake in humans. J Physiol (1999) 517(2):591–7. doi:10.1111/j.1469-7793.1999.0591t.x

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Milardi, D, Arrigo, A, Anastasi, G, Cacciola, A, Marino, S, Mormina, E, et al. Extensive direct subcortical cerebellum-basal ganglia connections in human brain as revealed by constrained spherical deconvolution tractography. Front Neuroanat (2016) 10:29. doi:10.3389/fnana.2016.00029

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Bostan, AC, and Strick, PL. The basal ganglia and the cerebellum: nodes in an integrated network. Nat Rev Neurosci (2018) 19(6):338–50. doi:10.1038/s41583-018-0002-7

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Hoshi, E, Tremblay, L, Féger, J, Carras, PL, and Strick, PL. The cerebellum communicates with the basal ganglia. Nat Neurosci (2005) 8(11):1491–3. doi:10.1038/nn1544

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Steinhardt, J, Hanssen, H, Heldmann, M, Sprenger, A, Laabs, BH, Domingo, A, et al. Prodromal X-linked dystonia-parkinsonism is characterized by a subclinical motor phenotype. Mov Disord Off J Mov Disord Soc (2022) 37(7):1474–82. doi:10.1002/mds.29033

CrossRef Full Text | Google Scholar

88. Berbakov, L, Jovanović, Č, Svetel, M, Vasiljević, J, Dimić, G, and Radulović, N. Quantitative assessment of head tremor in patients with essential tremor and cervical dystonia by using inertial sensors. Sensors (2019) 19(19):4246. doi:10.3390/s19194246

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Brügge, NS, Sallandt, GM, Schappert, R, Li, F, Siekmann, A, Grzegorzek, M, et al. Automated motor tic detection: a machine learning approach. Mov Disord Off J Mov Disord Soc (2023) 38(7):1327–35. doi:10.1002/mds.29439

CrossRef Full Text | Google Scholar

90. Button, KS, Ioannidis, JPA, Mokrysz, C, Nosek, BA, Flint, J, Robinson, ESJ, et al. Power failure: why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci (2013) 14(5):365–76. doi:10.1038/nrn3475

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Lozeron, P, Poujois, A, Richard, A, Masmoudi, S, Meppiel, E, Woimant, F, et al. Contribution of TMS and rTMS in the understanding of the pathophysiology and in the treatment of dystonia. Front Neural Circuits (2016) 10:90. doi:10.3389/fncir.2016.00090

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Krishna, V, Sammartino, F, and Rezai, A. A review of the current therapies, challenges, and future directions of transcranial focused ultrasound technology: advances in diagnosis and treatment. JAMA Neurol (2018) 75(2):246–54. doi:10.1001/jamaneurol.2017.3129

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Dahmani, L, Bai, Y, Li, M, Ren, J, Shen, L, Ma, J, et al. Focused ultrasound thalamotomy for tremor treatment impacts the cerebello-thalamo-cortical network. NPJ Park Dis (2023) 9(1):90. doi:10.1038/s41531-023-00543-8

CrossRef Full Text | Google Scholar

94. Herzog, R, Berger, TM, Pauly, MG, Xue, H, Rueckert, E, Münchau, A, et al. Cerebellar transcranial current stimulation - an intraindividual comparison of different techniques. Front Neurosci (2022) 16:987472. doi:10.3389/fnins.2022.987472

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Pauly, MG, Steinmeier, A, Bolte, C, Hamami, F, Tzvi, E, Münchau, A, et al. Cerebellar rTMS and PAS effectively induce cerebellar plasticity. Sci Rep (2021) 11(1):3070. doi:10.1038/s41598-021-82496-7

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Herzog, R, Bolte, C, Radecke, JO, von Möller, K, Lencer, R, Tzvi, E, et al. Neuronavigated cerebellar 50 Hz tACS: attenuation of stimulation effects by motor sequence learning. Biomedicines (2023) 11(8):2218. doi:10.3390/biomedicines11082218

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: dystonia, cerebellum, neurophysiology, SGCE, myoclonus

Citation: Hamami F, Gerkensmeier S, Münchau A and Weissbach A (2024) ε-sarcoglycan myoclonus-dystonia—overview of neurophysiological, behavioral, and imaging characteristics. Dystonia 3:11693. doi: 10.3389/dyst.2024.11693

Received: 16 June 2023; Accepted: 24 January 2024;
Published: 21 February 2024.

Edited by:

Jan K. Teller, Scientific Advisors International, Poland

Copyright © 2024 Hamami, Gerkensmeier, Münchau and Weissbach. 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: Anne Weissbach, YW5uZS53ZWlzc2JhY2hAdW5pLWx1ZWJlY2suZGU=

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