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. 2019 May 22;6:5. doi: 10.1186/s40673-019-0100-y

Tremor after long term lithium treatment; is it cortical myoclonus?

Ptolemaios Georgios Sarrigiannis 1,, Panagiotis Zis 1, Zoe Charlotte Unwin 1, Daniel J Blackburn 2, Nigel Hoggard 3, Yifan Zhao 4, Stephen A Billings 5, Aijaz A Khan 2, John Yianni 6, Marios Hadjivassiliou 2
PMCID: PMC6532190  PMID: 31143451

Abstract

Introduction

Tremor is a common side effect of treatment with lithium. Its characteristics can vary and when less rhythmical, distinction from myoclonus can be difficult.

Methods

We identified 8 patients on long-term treatment with lithium that developed upper limb tremor. All patients were assessed clinically and electrophysiologically, with jerk-locked averaging (JLA) and cross-correlation (CC) analysis, and five of them underwent brain MRI examination including spectroscopy (MRS) of the cerebellum.

Results

Seven patients (6 female) had action and postural myoclonus and one a regular postural and kinetic tremor that persisted at rest. Mean age at presentation was 58 years (range 42–77) after lengthy exposure to lithium (range 7–40 years). During routine monitoring all patients had lithium levels within the recommended therapeutic range (0.4-1 mmol/l). There was clinical and/or radiological evidence (on cerebellar MRS) of cerebellar dysfunction in 6 patients. JLA and/or CC suggested a cortical generator of the myoclonus in seven patients. All seven were on antidepressants and three additionally on neuroleptics, four of them had gluten sensitivity and two reported alcohol abuse.

Conclusions

A synergistic effect of different factors appears to be contributing to the development of cortical myoclonus after chronic exposure to lithium. We hypothesise that the cerebellum is involved in the generation of cortical myoclonus in these cases and factors aetiologically linked to cerebellar pathology like gluten sensitivity and alcohol abuse may play a role in the development of myoclonus. Despite the very limited evidence in the literature, lithium induced cortical myoclonus may not be so rare.

Electronic supplementary material

The online version of this article (10.1186/s40673-019-0100-y) contains supplementary material, which is available to authorized users.

Keywords: Lithium, Cerebellar ataxia, Cortical myoclonus, Gluten sensitivity, JLA, MRS

Introduction

Lithium induced tremor is a common side effect and can occur both early and after many years of exposure. When manifesting early it usually consists of a fine tremor that can occur at rest, be postural and/or kinetic, often unrelated to blood levels [110]. Myoclonus is another movement disorder manifesting during treatment with lithium [11]. When myoclonus presents as a tremor it can be challenging to clinically recognise, particularly when not stimulus sensitive. Typically tremor consists of regular (frequency and amplitude) stereotyped repetitive movements [12]. Shibasaki and Hallett make the argument that electrophysiology is essential in the diagnosis of myoclonus because “… myoclonus is difficult to distinguish from other involuntary movements such as tremor, chorea, and dystonia” and “… cortical myoclonus frequently appears to be rhythmic” [13]. Although myoclonic movements are usually assumed to be “sudden, brief and shock like” some forms of myoclonus may fit into the broad definition of tremor [14]. The importance of electrophysiology in distinguishing tremor from myoclonus is also highlighted by Caviness and Brown [15]. As distinction between tremor and myoclonus can be difficult in the clinical setting, polygraphy recordings and electrophysiological analysis that are only available in specialised centres, can assist in the classification [16] and identification of the anatomical generator of the myoclonus.

In cortical myoclonus, a paroxysmal depolarisation shift (PDS) involving the cerebral motor cortex, drives the corticospinal volley that generates the myoclonic discharge [13, 17]. The cortical spikey EEG correlate of the PDS varies in morphology and can be negative if the PDS is widely distributed across the neocortex or positive if restricted in the deep layers of the motor cortex [18]. On the other hand, centrally driven tremors are characterised by a widely distributed tremorogenic network and quantitative EEG/EMG analysis with jerk-locked averaging (JLA) and/or cross-correlation (CC) is not expected to produce sharp cortical transients before the tremulous EMG discharges.

In this work, we discuss our experience with 8 consecutive patients referred for electrophysiological assessment of their tremulous motor manifestations whilst on long-term treatment with lithium.

Methods

Standard protocol approvals, registrations and patient consents

This is an observational study. Five of the patients included in this work have been referred to the Sheffield Ataxia Centre, Royal Hallamshire Hospital, Sheffield, UK because of balance problems while the remaining three cases were seen at a general neurology clinic primarily because of upper limb tremor. The South Yorkshire Research Ethics Committee has confirmed that no ethical approval is required given that all investigations were clinically indicated and did not form part of a research study. The specialised electrophysiological recordings and quantitative analysis are routinely performed at the Department of Clinical Neurophysiology at the Royal Hallamshire Hospital (Sheffield, UK) and all patients have provided written consent.

Case selection

Eight consecutive cases on chronic treatment with Lithium referred to the department of Clinical Neurophysiology at the Royal Hallamshire Hospital (Sheffield, UK) for analysis of their tremulous manifestations were identified for this report.

Neuroimaging

Five of the patients (Table 1, cases 1–5) underwent brain MRI and magnetic resonance spectroscopy (MRS) of the vermis and the hemispheres [19]. This latter technique is very useful in providing evidence of cerebellar dysfunction independently from the presence of atrophy [2022]. The N-acetyl-aspartate/creatine, NAA/Cr, ratio is used in our institution and the Standardized normal values are NAA/Cr > 0.95 in the vermis and > 1.00 in the hemispheres [19].

Table 1.

Electroclinical and neuroimaging findings

Case no Age at onset (Gender) Years on lithium Gluten sensitivity Cerebellar MRS JLA & CCc SEPs Postural tremore frequency Psychotropic medication daily doses
1 77y, F 40y

Reduced NAA/Cr a

vermis 0.91

hemispheres 0.78

Action and stimulus reflex cortical myoclonus “Giant” & C-reflexes b 14 Hz

Lithium d 400 mg

Mirtazapine 45 mg

2 63y, F 10y + IgG

Reduced NAA/Cr

vermis 0.87

hemispheres 1.04

Cortical myoclonus normal 10 Hz

Lithium 400 mg

Mirtazapine 45 mg

Sertraline 200 mg

3 57y, M 7y + IgG

Reduced NAA/Cr

vermis 0.79

hemispheres 1.04

Cortical myoclonus normal 10 Hz

Lithium 408 mg

Venlafaxine 225 mg

4 47y, F 10y

Reduced NAA/Cr

vermis 0.75

hemispheres 0.8

Cortical myoclonus normal 11 Hz

Lithium 800 mg

imipramine 100 mg

Olanzapine 25 mg

5 55y, F 30y + IgG

Reduced NAA/Cr

vermis 0.89

hemispheres 0.85

Cortical myoclonus normal 10 Hz and first harmonic at 20 Hz

Lithium 675 mg

Citalopram 40 mg

Quetiapine 100 mg

6 70y, F 20y + IgG ND Cortical myoclonus normal 8 Hz

Lithium 400 mg

fluoxetine 40 mg

7 42y, F 10y ND Cortical myoclonus normal 13 Hz

Lithium 1000 mg

Quetiapine 650 mg

Sertraline 100 mg

8 66y, M 29y ND Central tremor normal 6 Hz and first harmonic at 12 Hz

Lithium 800 mg

Flupenthixole 0.5 mg

MRS Magnetic resonance spectroscopy, ND not done, SEP somatosensory evoked potentials

aThe NAA/Cr, N-acetyl-aspartate/creatine. This was measured in the vermis and cerebellar hemispheres (normal values Vermis > 0.95, hemispheres > 1.00

bThe P1N2 and the P1N3 components were enlarged, above 14 μV (Fig. 1b)

cJLA, jerk locked averaging and CC, cross correlation analysis were applied in cases 1–8, results are shown in Figs. 1, 2, 3 and 4

dAll patients had lithium serum levels within the normal range: 0.4-1 mmol/L and all received a dose below 1200 mg/die of lithium carbonate or equivalent dose of lithium citrate (liquid preparation)

eCases 1 to 7 presented with a quasi-regular tremor while case 8 was rhythmical. Frequencies were estimated with the in-built FFT function in spike 2 software on 20 s epochs of EMG recordings during upper limb maintenance of anti-gravity posture

Electrophysiological assessment

All patients underwent electroencephalographic (EEG) and multichannel surface electromyography (EMG) polygraphy recordings to assess their upper limb tremulous activity. When rhythmical sinusoidal oscillations were seen (easily appreciated from appropriately placed hand accelerometers) then weight loading was used to identify a load-invariant EMG peak that suggests a central oscillator. The multichannel Natus Quantum amplifier (Optima Medical Ltd) at a sampling rate of 2048 Hz was used for all EEG/EMG polygraphy examinations (analogue bandwidth 0.01–680 Hz). Subsequently, data was exported for quantitative analysis on spike 2 (version 8.12) software (CED Ltd). Fast fourier transform (FFT) analysis was performed in one patient (case 8) before and after weight loading at the level of the wrist, to distinguish between peripheral and central components of the tremorogenic network [23]. The techniques of jerk-locked averaging (JLA) and cross-correlation (CC) analysis were applied in all cases. The in-built Spike 2 software functions for data averaging and correlation analysis, the latter averaging technique appears in previous publications as cumulant density [24, 25], were used. The technique of JLA was applied based on previous reports [13, 2628] and EMG channels were rectified and direct current (DC) removed (time constant 0.05) to identify a clear onset of the EMG discharges. EEG data was not filtered. This enabled us to be able to record slow pre-movement cortical potentials that can be seen during participation of voluntary control systems in movement generation [27]. Events were marked from small duration (< 75 ms) myoclonic jerks, captured from the surface EMG electrodes. Several hundred to several thousand events were used for data analysis for each patient. Both JLA and CC, another data averaging [29] method, where applied. Somatosensory evoked potentials (SEP) recordings were made according to recent recommendations [30] and the possibility of cortical reflexes (C-reflexes) was examined with surface EMG electrodes in the leg and arm areas with the methodology and normal values described in previous work [31].

Results

The demographics, age at presentation, years on lithium during onset of neurological manifestations, gluten sensitivity serology, MRS, electrophysiological findings and psychotropic medications with daily doses are described in Table 1.

On clinical examination, four patients (cases 1–3 and 5) had ataxia on finger-nose and heel to sheen examination, evidence of gait ataxia and an irregular upper limb postural and action tremor that tended to persist at rest. The other patient had similar jerky upper limb tremor, gaze evoked nystagmus, brisk reflexes and gait ataxia (case 4). For the remaining three patients (cases 6–8), upper limb jerky postural/action tremor, was the main symptom at the time of referral for a neurological opinion. Neurological examination revealed gait ataxia in case 7 who also had occasional jerks of the right leg. Case 8 had a family history of tremor (mother and three of his sisters were affected). Two of the eight patients (case 2 and 3) had a history of excessive alcohol intake and four had positive antigliadin antibodies in keeping with gluten sensitivity. Case 7 had previous gastric bypass surgery and two (case 3 and 7) were on treatment with thyroxine. Case 5 had a past history of thyrotoxicosis treated with carbimazole but was euthyroid at presentation.

None of the patients underwent any alterations of their lithium dose prior to the occurrence of the tremor and all had serum lithium levels consistently within the recommended therapeutic range (0.4-1 mmol/l) with no past history of lithium intoxication. All eight patients received various antidepressants (tricyclic antidepressants (TCA), imipramine; selective serotonin reuptake inhibitors (SSRIs), sertraline, citalopram, fluoxetine; noradrenergic and specific serotonergic antidepressant (NaSSA), mirtazapine; serotonin-norepinephrine reuptake inhibitor (SNRI), venlafaxine), and four received antipsychotic medication (typical antipsychotics, flupenthixole; atypical antipsychotics, quetiapine and olanzapine).

Radiologically, cerebellar atrophy was found on MRI in two cases, moderate (case 4) and mild (case 5), while five out of 7 had abnormal MRS with low NAA/Cr.

On electrophysiological examination, in five of the eight patients (cases 1–5) the EEG showed background rhythms lying within normal limits with no clear focal or epileptiform discharges. The EEG in case 6 was remarkable for occasional sharp/spike and slow wave discharges with a right frontotemporal and parietal emphasis. A single spike/slow wave discharge occurred in the left frontotemporal region on the record of case 7 and some non-specific bursts of slow wave activity, mainly theta, were seen on the recording from case 8. The background EEG of these latter two patients was lying within normal limits. There were no electro-clinical associations in any of the raw EEG/EMG polygraphy recordings. Results from the quantitative analysis of the data with JLA and CC showed evidence of cortical reflex myoclonus for case 1, with enlarged SEPs (Fig. 1) and of cortical myoclonus in cases 2–7 (Figs. 2, 3 and 4b, i and ii). The technique of CC, a linear averaging method that can be used for quantitative EEG/EMG data analysis, can be particularly useful when the differential diagnostic dilemma between tremor and myoclonus arises. Results from CC analysis for the only subject (case 8) with a rather sinusoidal tremor, that emerged after many years on treatment with lithium, and a strong family history of essential tremor are shown in Fig. 4 where the typical sinusoidal morphology of the oscillations, an expression of the relatively regular amplitude and frequency of the tremulous movements can be easily appreciated. Additionally, the averaged EMG polygraphy data exhibit variable out of phase relationships between proximal and distal muscles despite some pairs of antagonists show relatively in phase activation (Fig. 4, i). Contrary to this rather regular sinusoidal appearance, the averaged results (both with the technique of JLA and CC) for the remaining seven patients, with cortical myoclonic tremor, show minimal, if at all, short lived sinusoidal morphologies before and after time 0 on the averaged templates (Fig. 1a and c, Fig. 2c and d, Fig. 3a and b, and Fig. 4b, i and ii).

Fig. 1.

Fig. 1

a EEG/EMG polygraphy showing the irregular myoclonic tremor. The most prominent myoclonic jerks involve synchronously both upper limbs and proximal and distal muscles. b SEPs from the same patient showing “Giant” cortical potentials and C-reflexes indicating cortical hyperexcitability and stimulus sensitive myoclonus. c JLA for the same patient from the left upper arm. There is a biphasic, positive/negative, spiky transient preceding by few milliseconds the rectified and averaged myoclonic EMG discharges (960 sweeps were averaged). The cortico-muscular latencies are shown at a slower sweep time in the relevant Additional file 1. APB = abductor pollicis brevis, BB=Biceps brachii, FCU = flexor carpi ulnaris, EDC = extensor digitorum communis, JLA = jerk-locked averaging, SEP = somatosensory evoked potentials, TB = triceps brachii

Fig. 2.

Fig. 2

Results of JLA for 4 of the cases that were gluten positive (a), (b), (c), (d). A sharp biphasic transient appears in the contralateral central (a and b) and in the contralateral frontocentral EEG channel preceding the onset of the averaged EMG discharges in (c and d). The cortico-muscular latencies are shown at a slower sweep time in the relevant Additional file 1. APB = abductor pollicis brevis, BB=Biceps brachii, FCU = flexor carpi ulnaris, EDC = extensor digitorum communis, JLA = jerk-locked averaging, SEP = somatosensory evoked potentials, TB = triceps brachii

Fig. 3.

Fig. 3

Electrophysiological findings from case 6. a EEG/EMG polygraphy showing on a 1 s epoch the irregular myoclonic jerks, consisting of small duration EMG discharges < 50 ms, demonstrating frequent co-activation of forearm antagonists with occasional simultaneous co-contraction of intrinsic hand muscles. b Averaged data obtained with the technique of CC with the tremorogenic activity from the R EDC used as reference (note the auto-correlation for the R EDC is 1). Spiky biphasic transients appear in the contralateral frontocentral EEG channel preceding the peak of the autocorrelation findings from the EDC by a few milliseconds. Two minutes of this jerky activity were used on the analysis. Please note the dotted lines indicate the 95% confidence interval. The cortico-muscular latencies are shown at a slower sweep time in the relevant Additional file 1. ADM = abductor digiti minimi, APB = abductor pollicis brevis, FCU = flexor carpi ulnaris, EDC = extensor digitorum communis

Fig. 4.

Fig. 4

a CC analysis of the right arm tremor polygraphy recordings from case 8. This reveals typical sinusoidal oscillations at a frequency of around 6 Hz with a mainly out of phase relationship between antagonist muscles in the forearm (FCU/EDC) and out of phase activation between proximal and distal muscles. The right FCU was used as reference (i). FFT analysis (blocks of 4096 data points at a resolution of 0.5 Hz) was implemented on the EMG recordings while maintaining antigravity posture; it reveals a tremor at 5.9 Hz with its first harmonic (ii). Same analysis after loading the hand initially with 0.5Kg (iii) and then with 1 kg (iv) does not show any modification to the peak frequency of the tremor, as expected for a centrally driven tremor. The electrophysiological findings from Case 8, shown in (a) versus another patient with cortical myoclonic tremor, case 7 shown in (b). The arrows show the contralateral to EMG biphasic cortical transients on the averaged EEG data in the central areas. The EMG polygraphy shows co-activation of proximal and distal muscles (i). The horizontal dotted lines in the central derivations represent the 95% confidence interval; the biphasic cortical transient preceding by few milliseconds the peak of the autocorrelation from the EDC is outside the 95% margins (ii). The cortico-muscular latencies for case 7 are shown at a slower sweep time in the relevant Additional file 1. Noticeably, the cross-correlation analysis in a and b show the regular sinusoidal oscillations in the former, typically seen in tremors, and in the latter, the synchronous proximal and distal activation that can be expected in cortically driven myoclonus. ADM = abductor digiti minimi, APB = abductor pollicis brevis, BB = biceps brachii, Del = deltoid, FCU = flexor carpi ulnaris, EDC = extensor digitorum communis, TB = triceps brachii, Tra = trapezius

One of the patients (case 1) had no significant improvement after discontinuing treatment with lithium for 6 months. Case 2 noticed significant improvement of the myoclonus while cerebellar spectroscopy also improved (vermis NAA/Cr increased to 0.95 from 0.87, significant differences > 0.05) 6 months after adopting a gluten free diet. Another patient (case 4) showed no amelioration after her lithium daily dose was halved (from 800 to 400 mg). For the three patients referred from general neurology two with myoclonus, experienced mild disability and it was decided to follow them up without any changes of their psychoactive medication regime. The single patient with tremor was offered a beta blocker based on previous recommendations [32].

Discussion

Lithium remains a widely used effective treatment for bipolar disorders [33] but its long-term use is associated with significant side effects, including renal, endocrine, dermatological and neurological manifestations [32]. Neurotoxicity can sometimes be irreversible and can occur after overdose or during maintenance treatment with lithium levels within the therapeutic range [34]. One of the most common side effects, reported in up to 25%, is tremor primarily affecting the hands [5]. Tremor commonly appears early on in the course of treatment and may improve over time. The tremor is reportedly indistinguishable from essential or enhanced physiologic tremor and patients typically do not have features of Parkinsonism [1]. Lithium induced tremor is more common in the elderly, possibly because of increased prevalence of essential tremor in this age group and, hence, the latter could be a predisposing factor. Furthermore, male gender, concurrent antidepressant (predominantly tricyclic antidepressants) and/or neuroleptic medications, higher doses of lithium with high serum levels, caffeine intake, alcohol withdrawal and anxiety are contributing factors [1, 35, 3537] for the development of tremor.

The pathophysiological characteristics of lithium tremor remain poorly defined and is not yet clear if presentation in the early versus late phases of treatment exhibits distinguishing features. However, a coarse irregular hand tremor together with symptoms of ataxia, nystagmus, dysarthria and confusion is very suggestive of lithium toxicity [3, 38]. Lithium induced tremor may consist of rhythmical oscillations but it has also been described as an irregular, non-rhythmical tremor of variable intensity and frequency [6]. This later description renders clinical distinction between tremor and myoclonus problematic even if the latter is commonly characterised by an irregular, jerky appearance [39].

Myoclonus can be an adverse side effect of lithium monotherapy [11] or in combination with other drugs such as neuroleptics e.g. clozapine [40], and tricyclic antidepressants [41]. The presence of enlarged SEPs in patients receiving antidepressants in addition to lithium raises suspicion that the myoclonus is cortically driven [41]. This hypothesis was confirmed for a single case where the technique of JLA was applied in a patient where lithium with an antidepressant were prescribed [42].

A previous publication described five cases with cortical action myoclonus while on treatment with lithium (one also receiving antidepressant medications – sertraline and nefazodone) with no signs of neurotoxicity or epileptiform abnormalities on their routine EEGs [43]. Only one of the cases, on lithium monotherapy, showed enlarged SEPs.

Diffuse slow wave activity and epileptiform discharges are typical EEG findings of lithium toxicity [44]. However, no significant background slowing was seen in any of the EEGs of our patients with only occasional focal epileptiform discharges in one but no obvious association to the myoclonus. Overall, there was no significant electroencephalographic evidence to suggest lithium neurotoxicity in any of our cases, in keeping with the normal serum levels of the drug.

A synergistic effect of different factors appears to be contributing to the development of cortical myoclonus. Firstly, prolonged exposure to lithium (7 to 40 years). Secondly additional treatment with various types of antidepressant medications. Thirdly, 4 of the seven cases with myoclonus had gluten sensitivity, a factor linked to cerebellar ataxia and/or cortical myoclonus [21, 4548]. Even allowing for the small size of our cohort, 57% had gluten sensitivity when compared to 11% in the general population [49]. Despite no evidence of lithium toxicity in any of our cases, six out of the seven patients with cortical myoclonus were female. Previous observations show that toxicity, that includes a variety of symptoms in addition to tremor, is more frequent amongst women [50, 51]. It is therefore possible that female gender may be another predisposing factor. Alcohol may also be another contributory factor perhaps through causing cerebellar degeneration as seen in two of our patients [52]. The underlying disease process may also be contributory: There is evidence of dysfunction on fMRI scans, involving timing networks, that include the cerebellar vermis in patients with psychosis [53], further supporting previous evidence of vermian atrophy in psychiatric patients [54]. In addition, it has been shown that patients with psychotic bipolar disorder demonstrate dysconnectivity of selective cerebro-cerebellar networks not attributed to the effect of medication or other substance use [55]. It is therefore possible that many of the psychiatric patients on treatment with lithium have an inherent cerebellar vulnerability that could be aggravated by chronic exposure to lithium.

The single patient with non-myoclonic tremor had a strong family history of tremor and received additional antipsychotic medication, both being predisposing factors for the development of tremor. Despite the patient having no features of parkinsonism his tremor was asymmetric, involving mainly the right side, and tended to persist at rest. Electrophysiology (Fig. 4) showed that this regular 6 Hz tremor had features of a centrally driven tremor that would fit within the spectrum of essential tremor.

In all five cases where MRS was performed there was evidence of cerebellar dysfunction whilst the electrophysiological findings were suggesting a cortical generator of the myoclonic tremor. This is very much in keeping with pathological findings from other conditions where a phenotype of cortical myoclonic tremor is associated with cerebellar dysfunction, namely familial cortical tremor with epilepsy (FCTE) and progressive myoclonus ataxia (PMA) in coeliac disease [27, 48, 5659]. Autopsy results on families affected by FCTE and on individual cases with PMA, shows that pathology is localising to the cerebellum [48, 5658]. While the cortex appears intact, the electrophysiological findings show consistently a cortical generator while the SEPs are typically “Giant” with or without evidence of stimulus sensitive myoclonus (i.e. cortical reflexes, “c-reflexes”). It is postulated that reduced inhibition of the motor cortex due to dysfunctional cerebellar output results in cortical hyperexcitability [57], however, only one of our seven patients with cortical myoclonus had giant SEPs.

Despite the fact that lithium treatment was stopped in one of our patients and halved in another, this did not translate into clinical improvement of their myoclonus. This very limited evidence suggests that cortical myoclonus may be an irreversible adverse effect of lithium when there is superimposed pathology affecting the cerebellum. Only one patient experienced improvement of her myoclonus on a gluten free diet, without any changes on the lithium daily dose. The same patient showed improvement of cerebellar functioning on MRS. Overall the myoclonic tremor encountered in these patients is debilitating and difficult to treat. We have used levetiracetam successfully in cases of cortical myoclonus due to other aetiologies but we have been reluctant to use this drug in this group of patients with susceptibility to depression and behavioural issues. Furthermore, most of these patients were already on many psychotropic drugs.

Conclusions

We provide electrophysiological evidence of cortical myoclonus in seven patients presenting with an upper limb tremor after long-term exposure to lithium. We identified cerebellar dysfunction as being very prevalent in this cohort. We postulate that factors affecting cerebellar function are crucial for the emergence of myoclonus in the context of prolonged lithium exposure. Without appropriate polygraphy recordings, differentiating between lithium induced tremor and cortical myoclonus is not possible. Lithium induced cortical myoclonus may not be as rare as the paucity of published cases suggests.

Additional file

Additional file 1: (2.4MB, pdf)

“Cortico-muscular latencies” for 7 cases shown in Figures S1, S2, S3 and S4. (PDF 2500 kb)

Acknowledgements

We thank Neurocare for purchasing the EEG equipment used in this work. This is a summary of independent research supported by BRC and carried out at the National Institute for Health Research (NIHR) Sheffield Clinical Research Facility. The views expressed are those of the authors and not necessarily those of the BRC, NHS, the NIHR, or the Department of Health.

Funding

None.

Availability of data and materials

All data generated or analysed during this study are included in this published article [and its supplementary information files].

Abbreviations

CC

Cross-correlation

FCTE

Familial cortical tremor with epilepsy

FFT

Fast Fourier transform

JLA

Jerk-locked averaging

MRS

Magnetic resonance spectroscopy

NAA/Cr

N-acetyl-aspartate/creatine

NaSSA

Noradrenergic and specific serotonergic antidepressant

PDS

Paroxysmal depolarisation shift

PMA

Progressive myoclonus ataxia

SEP

Somatosensory evoked potentials

SNRI

Serotonin-norepinephrine reuptake inhibitor

SSRIs

Selective serotonin reuptake inhibitors

TCA

Tricyclic antidepressants

Authors’ contributions

PGS, PZ, DJB, and MH have contributed to the conception, design, data interpretation and writing of the draft version of the manuscript, ZCU and NH have contributed with data collection, analysis and interpretation of the findings, YZ and SAB on data analysis and interpretation of findings, JY and AAK with data collection, interpretation of the findings and revision of the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This is an observational study. The South Yorkshire Research Ethics Committee has confirmed that no ethical approval is required given that all investigations were clinically indicated and did not form part of a research study. The specialised electrophysiological recordings and quantitative analysis are routinely performed at the Department of Clinical Neurophysiology at the Royal Hallamshire Hospital (Sheffield, UK) and all patients have provided written consent for publication.

Competing interests

The authors declare that they have no competing interests.

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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Ptolemaios Georgios Sarrigiannis, Email: p.sarrigiannis@sheffield.ac.uk.

Panagiotis Zis, Email: takiszis@gmail.com.

Zoe Charlotte Unwin, Email: Zoe.Unwin@sth.nhs.uk.

Daniel J. Blackburn, Email: d.blackburn@sheffield.ac.uk

Nigel Hoggard, Email: n.hoggard@sheffield.ac.uk.

Yifan Zhao, Email: yifan.zhao@cranfield.ac.uk.

Stephen A. Billings, Email: S.Billings@sheffield.ac.uk

Aijaz A. Khan, Email: Aijaz.Khan@sth.nhs.uk

John Yianni, Email: john.yianni@sth.nhs.uk.

Marios Hadjivassiliou, Email: m.hadjivassiliou@sheffield.ac.uk.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1: (2.4MB, pdf)

“Cortico-muscular latencies” for 7 cases shown in Figures S1, S2, S3 and S4. (PDF 2500 kb)

Data Availability Statement

All data generated or analysed during this study are included in this published article [and its supplementary information files].


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