An Unexpected Phenomenon: A Case of Citalopram-Induced Dyskinesia.

Dyskinetic movements are characterized as hyperkinetic, repetitive movements of the extremities, facial, and oral musculature, most associated with prolonged dopamine D2 receptor blockade. In rare instances, dyskinetic movements can be brought on by selective serotonin reuptake inhibitor (SSRI) usage via an indirect D2 blockade mechanism, mimicking the D2 blockade observed with dopamine receptor blocking agents (DRBAs), such as in first-generation antipsychotics. This mimicked D2 blockade by SSRIs is said to be due to increased tonic inhibition by serotonin on dopaminergic neurons in the dopaminergic pathways of the brain, specifically the nigrostriatal pathway. In this case report, we look at a patient with a history of cerebral palsy who developed acute dyskinetic movements after short-term citalopram usage. The objective is to bring attention to the possible extrapyramidal side effects (EPS) of SSRI usage.

Improving paediatric movement disorders care: Insights on rating scales utilization and clinical practice.

AIM: This exploratory study evaluates rating scale usage by experts from the European Reference Network for Rare Neurological Diseases (ERN-RND) for paediatric MD, considering factors like diagnosis, intellectual disability, age, and transition to adult care. The aim is to propose a preliminary framework for consistent application. METHODS: A multicentre survey among 25 ERN-RND experts from 10 European countries examined rating scale usage in paediatric MD, categorizing MD into acute, non-progressive, and neurodegenerative types. Factors influencing scale choice and the transition to adult care practices were analysed. A comprehensive literature search was conducted to identify the earliest age of application of these scales in paediatric patients. RESULTS: The study identifies various rating scales and establishes their usage frequencies for different MDs. Experts highlighted the need for standardized scales and proposed preliminary evaluation strategies based on clinical contexts. Challenges in applying scales to young, non-cooperative patients were acknowledged. INTERPRETATION: The study recommends developing standardized rating scales for paediatric MDs to improve evaluations and data collection. It suggests potential scales for specific clinical scenarios to better evaluate disease progression. Comprehensive, patient-centred care remains crucial during the transition to adult care, despite the identified challenges. This exploratory approach aims to enhance patient outcomes and care.

Introducing Virtual Shared Medical Appointments as a Novel Treatment Platform for Functional Movement Disorders.

The landscape of medical care has rapidly evolved with technological advancements, particularly through the widespread adoption of virtual appointments catalyzed by the COVID-19 pandemic. This shift has transcended geographical barriers, enhancing access for underserved populations and those with disabilities to specialized healthcare providers. A notable development stemming from this trend is the emergence of virtual shared medical appointments (VSMAs), which integrate group-based education with telemedicine technology. While VSMAs have demonstrated efficacy in conditions such as obesity, diabetes, and neurological disorders, their effectiveness in managing Functional Movement Disorders (FMD) is currently under investigation. FMDs pose unique challenges in diagnosis and acceptance, with high rates of misdiagnosis and treatment delays. VSMAs offer a promising solution by providing educational modules and fostering peer support among patients with similar diagnoses. At the Cleveland Clinic Center for Neurological Restoration, VSMAs have been embraced to enhance care standards for FMD patients. The program facilitates educational sessions and follow-up meetings to improve treatment adherence and psychological well-being. Early outcomes indicate increased patient acceptance and engagement, with significant program growth observed. Ongoing research aims to evaluate stakeholder perspectives and refine session content to further reduce stigma and the healthcare burden associated with FMDs.

Assessing ChatGPT Ability to Answer Frequently Asked Questions About Essential Tremor.

Background: Large-language models (LLMs) driven by artificial intelligence allow people to engage in direct conversations about their health. The accuracy and readability of the answers provided by ChatGPT, the most famous LLM, about Essential Tremor (ET), one of the commonest movement disorders, have not yet been evaluated. Methods: Answers given by ChatGPT to 10 questions about ET were evaluated by 5 professionals and 15 laypeople with a score ranging from 1 (poor) to 5 (excellent) in terms of clarity, relevance, accuracy (only for professionals), comprehensiveness, and overall value of the response. We further calculated the readability of the answers. Results: ChatGPT answers received relatively positive evaluations, with median scores ranging between 4 and 5, by both groups and independently from the type of question. However, there was only moderate agreement between raters, especially in the group of professionals. Moreover, readability levels were poor for all examined answers. Discussion: ChatGPT provided relatively accurate and relevant answers, with some variability as judged by the group of professionals suggesting that the degree of literacy about ET has influenced the ratings and, indirectly, that the quality of information provided in clinical practice is also variable. Moreover, the readability of the answer provided by ChatGPT was found to be poor. LLMs will likely play a significant role in the future; therefore, health-related content generated by these tools should be monitored.

Virtual reality in functional neurological disorder: a theoretical framework and research agenda for use in the real world.

Functional neurological disorder (FND) is a common and disabling condition at the intersection of neurology and psychiatry. Despite remarkable progress over recent decades, the mechanisms of FND are still poorly understood and there are limited diagnostic tools and effective treatments. One potentially promising treatment modality for FND is virtual reality (VR), which has been increasingly applied to a broad range of conditions, including neuropsychiatric disorders. FND has unique features, many of which suggest the particular relevance for, and potential efficacy of, VR in both better understanding and managing the disorder. In this review, we describe how VR might be leveraged in the treatment and diagnosis of FND (with a primary focus on motor FND and persistent perceptual-postural dizziness given their prominence in the literature), as well as the elucidation of neurocognitive mechanisms and symptom phenomenology. First, we review what has been published to date on the applications of VR in FND and related neuropsychiatric disorders. We then discuss the hypothesised mechanism(s) underlying FND, focusing on the features that are most relevant to VR applications. Finally, we discuss the potential of VR in (1) advancing mechanistic understanding, focusing specifically on sense of agency, attention and suggestibility, (2) overcoming diagnostic challenges and (3) developing novel treatment modalities. This review aims to develop a theoretical foundation and research agenda for the use of VR in FND that might be applicable or adaptable to other related disorders.

Dentatorubral-pallidoluysian atrophy: a rare cause of epilepsy, ataxia and chorea.

A 34-year-old woman presented with insidious onset and gradually progressive cerebellar ataxia over 10 years, with generalised convulsions. On examination, there were myoclonic jerks, choreiform movements and cerebellar syndrome. Her family history suggested an autosomal dominant inheritance with anticipation. Genetic analysis for trinucleotide repeat disorders led to a diagnosis of dentatorubral-pallidoluysian atrophy (60 CAG repeats in the atrophin-1 gene). This rare spinocerebellar ataxia should be considered in the differential diagnosis of inherited ataxia when combined with seizures and chorea. Other features suggesting a repeat expansion disorder are variable phenotypes within the same family and possible anticipation.

The diagnostic and prognostic role of cerebrospinal fluid biomarkers in glucose transporter 1 deficiency: a systematic review.

The purpose of this study is to investigate the diagnostic and prognostic role of cerebrospinal fluid (CSF) biomarkers in the diagnostic work-up of glucose transporter 1 (GLUT1) deficiency. Reported here is a systematic review according to PRISMA guidelines collecting clinical and biochemical data about all published patients who underwent CSF analysis. Clinical phenotypes were compared between groups defined by the levels of CSF glucose (≤ 2.2 mmol/L versus > 2.2 mmol/L), CSF/blood glucose ratio (≤ 0.45 versus > 0.45), and CSF lactate (≤ 1 mmol/L versus > 1 mmol/L). Five hundred sixty-two patients fulfilled the inclusion criteria with a mean age at the diagnosis of 8.6 ± 6.7 years. Patients with CSF glucose ≤ 2.2 mmol/L and CSF/blood glucose ratio ≤ 0.45 presented with an earlier onset of symptoms (16.4 ± 22.0 versus 54.4 ± 45.9 months, p < 0.01; 15.7 ± 23.8 versus 40.9 ± 38.0 months, p < 0.01) and received an earlier molecular genetic confirmation (92.1 ± 72.8 versus 157.1 ± 106.2 months, p < 0.01). CSF glucose ≤ 2.2 mmol/L was consistently associated with response to ketogenic diet (p = 0.018) and antiseizure medications (p = 0.025). CSF/blood glucose ratio ≤ 0.45 was significantly associated with absence seizures (p = 0.048), paroxysmal exercise-induced dyskinesia (p = 0.046), and intellectual disability (p = 0.016) while CSF lactate > 1 mmol/L was associated with a response to antiseizure medications (p = 0.026) but not to ketogenic diet.Conclusions:This systematic review supported the diagnostic usefulness of lumbar puncture for the early identification of patients with GLUT1 deficiency responsive to treatments especially if they present with co-occurring epilepsy, movement, and neurodevelopmental disorders. What is Known: • Phenotypes of GLUT1 deficiency syndrome range between early epileptic and developmental encephalopathy to paroxysmal movement disorders and developmental impairment What is New: • CSF blood/glucose ratio may predict better than CSF glucose the diagnosis in children presenting with early onset absences • CSF blood/glucose ratio may predict better than CSF glucose the diagnosis in children presenting with paroxysmal exercise induced dyskinesia and intellectual disability. • CSF glucose may predict better than CSF blood/glucose and lactate the response to ketogenic diet and antiseizure medications.

Spinal movement disorders in NMOSD, MOGAD, and idiopathic transverse myelitis: a prospective observational study.

BACKGROUND: Retrospective studies suggest that spinal movement disorders, especially tonic spasms, are prevalent in NMOSD. However, there have been no prospective studies evaluating spinal movement disorders in NMOSD, MOGAD, and idiopathic transverse myelitis (ITM). METHODS: Patients referred to a tertiary neuroimmunology clinic for spinal cord demyelination (excluding MS) were evaluated. All patients answered a movement disorders survey and underwent a movement disorder-focused exam. Movement disorders were compared among patients with NMOSD with and without AQP4-IgG, MOGAD, and ITM. Patients with and without involuntary movements were also compared to identify predictors of spinal movement disorders. RESULTS: Sixty-three patients were evaluated from 2017 to 2021 (71% females, median age 49 years, range 18-72 years, median disease duration 12 months, range 1-408). Of the total, 49% had ITM, 21% had NMOSD without AQP4-IgG, 19% had NMOSD with AQP4-IgG, and 11% had MOGAD. Movement disorders were present in 73% of the total patients and were most frequent in NMOSD with AQP4-IgG (92%) and least frequent in MOGAD (57%). The most frequent spinal movement disorders were tonic spasms (57%), focal dystonia (25%), spinal tremor (16%), spontaneous clonus (9.5%), secondary restless limb syndrome (9.5%), and spinal myoclonus (8%). Multivariate analysis showed that longitudinally extensive myelitis and AQP4-IgG are independent risk factors for the development of spinal movement disorders, while MOG-IgG and African American race were associated with a lower risk of developing these movement disorders. CONCLUSIONS: Spinal movement disorders are highly prevalent in non-MS demyelinating disorders of the spinal cord. Prevalence rates exceed those reported in MS and retrospective NMOSD studies.

AAV9-Mediated Intra-Striatal Delivery of GNAO1 Reduces Hyperlocomotion in Gnao1 Heterozygous R209H Mutant Mice.

Mutations in the GNAO1 gene, which encodes the abundant brain G-protein Gαo, result in neurologic disorders characterized by developmental delay, epilepsy, and movement abnormalities. There are over 50 mutant alleles associated with GNAO1 disorders; the R209H mutation results in dystonia, choreoathetosis, and developmental delay without seizures. Mice heterozygous for the human mutant allele (Gnao1 +/R209H) exhibit hyperactivity in open field tests but no seizures. We developed self-complimentary adeno-associated virus vectors (scAAV9) expressing two splice variants of human GNAO1 Gαo isoforms 1 (GoA, GNAO1.1) and 2 (GoB, GNAO1.2). Bilateral intra-striatal injections of either scAAV9-GNAO1.1 or scAAV9-GNAO1.2 significantly reversed mutation-associated hyperactivity in open field tests. GNAO1 overexpression did not increase seizure susceptibility, a potential side-effect of GNAO1 vector treatment. This represents the first report of successful preclinical gene therapy for GNAO1 encephalopathy applied in vivo Further studies are needed to uncover the molecular mechanism that results in behavior improvements after scAAV9-mediated Gαo expression and to refine the vector design. Significance Statement GNAO1 mutations cause a spectrum of developmental, epilepsy, and movement disorders. Here, we show that intra-striatal delivery of scAAV9-GNAO1 to express the wild-type Gαo protein reduces the hyperactivity of the Gnao1 +/R209H mouse model, which carries one of the most common movement disorder-associated mutations. This is the first report of a gene therapy for GNAO1 encephalopathy applied in vivo on a patient-allele model.

Clinical and Molecular Profiling in GNAO1 Permits Phenotype-Genotype Correlation.

BACKGROUND: Defects in GNAO1, the gene encoding the major neuronal G-protein Gαo, are related to neurodevelopmental disorders, epilepsy, and movement disorders. Nevertheless, there is a poor understanding of how molecular mechanisms explain the different phenotypes. OBJECTIVES: We aimed to analyze the clinical phenotype and the molecular characterization of GNAO1-related disorders. METHODS: Patients were recruited in collaboration with the Spanish GNAO1 Association. For patient phenotyping, direct clinical evaluation, analysis of homemade-videos, and an online questionnaire completed by families were analyzed. We studied Gαo cellular expression, the interactions of the partner proteins, and binding to guanosine triphosphate (GTP) and G-protein-coupled receptors (GPCRs). RESULTS: Eighteen patients with GNAO1 genetic defects had a complex neurodevelopmental disorder, epilepsy, central hypotonia, and movement disorders. Eleven patients showed neurological deterioration, recurrent hyperkinetic crisis with partial recovery, and secondary complications leading to death in three cases. Deep brain stimulation improved hyperkinetic crisis, but had inconsistent benefits in dystonia. The molecular defects caused by pathogenic Gαo were aberrant GTP binding and hydrolysis activities, an inability to interact with cellular binding partners, and reduced coupling to GPCRs. Decreased localization of Gαo in the plasma membrane was correlated with the phenotype of "developmental and epileptic encephalopathy 17." We observed a genotype-phenotype correlation, pathogenic variants in position 203 were related to developmental and epileptic encephalopathy, whereas those in position 209 were related to neurodevelopmental disorder with involuntary movements. Milder phenotypes were associated with other molecular defects such as del.16q12.2q21 and I344del. CONCLUSION: We highlight the complexity of the motor phenotype, which is characterized by fluctuations throughout the day, and hyperkinetic crisis with a distinct post-hyperkinetic crisis state. We confirm a molecular-based genotype-phenotype correlation for specific variants. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Classification of Parkinson's disease severity using gait stance signals in a spatiotemporal deep learning classifier.

Parkinson's disease (PD) is a degenerative nervous system disorder involving motor disturbances. Motor alterations affect the gait according to the progression of PD and can be used by experts in movement disorders to rate the severity of the disease. However, this rating depends on the expertise of the clinical specialist. Therefore, the diagnosis may be inaccurate, particularly in the early stages of PD where abnormal gait patterns can result from normal aging or other medical conditions. Consequently, several classification systems have been developed to enhance PD diagnosis. In this paper, a PD gait severity classification algorithm was developed using vertical ground reaction force (VGRF) signals. The VGRF records used are from a public database that includes 93 PD patients and 72 healthy controls adults. The work presented here focuses on modeling each foot's gait stance phase signals using a modified convolutional long deep neural network (CLDNN) architecture. Subsequently, the results of each model are combined to predict PD severity. The classifier performance was evaluated using ten-fold cross-validation. The best-weighted accuracies obtained were 99.296(0.128)% and 99.343(0.182)%, with the Hoehn-Yahr and UPDRS scales, respectively, outperforming previous results presented in the literature. The classifier proposed here can effectively differentiate gait patterns of different PD severity levels based on gait signals of the stance phase.

Resting-State Network Analysis Reveals Altered Functional Brain Connectivity in Essential Tremor.

INTRODUCTION: Essential tremor (ET) comprises motor and non-motor related features, while the current neuro-pathogenetic basis is still insufficient to explain the etiologies of ET. While cerebellum associated circuits have been discovered, the large-scale cerebral network connectivity in ET remains unclear. This study aimed to characterize the ET in terms of functional connectivity as well as network. We hypothesized that the resting-state network within cerebrum could be altered in ET patients. METHODS: Resting-state functional MRI (fMRI) was used to evaluate the inter- and intra-network connectivity as well as the functional activity in ET and normal control. Correlation analysis was performed to explore the relationship between resting-state network metrics and tremor features. RESULTS: Comparison of inter-network connectivity indicated a decreased connectivity between default mode network and ventral attention network in ET group (P<0.05). Differences in functional activity (assessed by amplitude of low frequency fluctuation, ALFF) were found in several brain regions participating in various resting-state networks (P<0.05). ET group generally have higher degree centrality over normal control. Correlation analysis has revealed that tremor features are associated with inter-network connectivity (|r|=0.135-0.506), ALFF (|r|=0.313-0.766), and degree centrality (|r|=0.523-0.710). CONCLUSION: Alterations in the cerebral network of ET was detected by using resting-state fMRI, demonstrating a potentially useful approach to explore the cerebral alterations in ET.

A Novel Video-Based Methodology for Automated Classification of Dystonia and Choreoathetosis in Dyskinetic Cerebral Palsy During a Lower Extremity Task.

BACKGROUND: Movement disorders in children and adolescents with dyskinetic cerebral palsy (CP) are commonly assessed from video recordings, however scoring is time-consuming and expert knowledge is required for an appropriate assessment. OBJECTIVE: To explore a machine learning approach for automated classification of amplitude and duration of distal leg dystonia and choreoathetosis within short video sequences. METHODS: Available videos of a heel-toe tapping task were preprocessed to optimize key point extraction using markerless motion analysis. Postprocessed key point data were passed to a time series classification ensemble algorithm to classify dystonia and choreoathetosis duration and amplitude classes (scores 0, 1, 2, 3, and 4), respectively. As ground truth clinical scoring of dystonia and choreoathetosis by the Dyskinesia Impairment Scale was used. Multiclass performance metrics as well as metrics for summarized scores: absence (score 0) and presence (score 1-4) were determined. RESULTS: Thirty-three participants were included: 29 with dyskinetic CP and 4 typically developing, age 14 years:6 months ± 5 years:15 months. The multiclass accuracy results for dystonia were 77% for duration and 68% for amplitude; for choreoathetosis 30% for duration and 38% for amplitude. The metrics for score 0 versus score 1 to 4 revealed an accuracy of 81% for dystonia duration, 77% for dystonia amplitude, 53% for choreoathetosis duration and amplitude. CONCLUSIONS: This methodology study yielded encouraging results in distinguishing between presence and absence of dystonia, but not for choreoathetosis. A larger dataset is required for models to accurately represent distinct classes/scores. This study presents a novel methodology of automated assessment of movement disorders solely from video data.

Neurological Examination via Telemedicine: An Updated Review Focusing on Movement Disorders.

Patients with movement disorders such as Parkinson's disease (PD) living in remote and underserved areas often have limited access to specialized healthcare, while the feasibility and reliability of the video-based examination remains unclear. The aim of this narrative review is to examine which parts of remote neurological assessment are feasible and reliable in movement disorders. Clinical studies have demonstrated that most parts of the video-based neurological examination are feasible, even in the absence of a third party, including stance and gait-if an assistive device is not required-bradykinesia, tremor, dystonia, some ocular mobility parts, coordination, and gross muscle power and sensation assessment. Technical issues (video quality, internet connection, camera placement) might affect bradykinesia and tremor evaluation, especially in mild cases, possibly due to their rhythmic nature. Rigidity, postural instability and deep tendon reflexes cannot be remotely performed unless a trained healthcare professional is present. A modified version of incomplete Unified Parkinson's Disease Rating Scale (UPDRS)-III and a related equation lacking rigidity and pull testing items can reliably predict total UPDRS-III. UPDRS-II, -IV, Timed "Up and Go", and non-motor and quality of life scales can be administered remotely, while the remote Movement Disorder Society (MDS)-UPDRS-III requires further investigation. In conclusion, most parts of neurological examination can be performed virtually in PD, except for rigidity and postural instability, while technical issues might affect the assessment of mild bradykinesia and tremor. The combined use of wearable devices may at least partially compensate for these challenges in the future.

Too little or too much nocturnal movements in Parkinson's disease: A practical guide to managing the unseen.

Nocturnal and sleep-related motor disorders in people with Parkinson's disease (PD) have a wide spectrum of manifestations and present a complex clinical picture. Problems can arise due to impaired movement ability (hypokinesias), e.g. nocturnal hypokinesia or early-morning akinesia, or to excessive movement (hyperkinesias), e.g. end-of-the-day dyskinesia, parasomnias, periodic limb movement during sleep and restless legs syndrome. These disorders can have a significant negative impact on the sleep, daytime functional ability, and overall quality of life of individuals with PD and their carers. The debilitating motor issues are often accompanied by a combination of non-motor symptoms, including pain and cramping, which add to the overall burden. Importantly, nocturnal motor disorders encompass a broader timeline than just the period of sleep, often starting in the evening, as well as occurring throughout the night and on awakening, and are not just limited to problems of insomnia or sleep fragmentation. Diagnosis can be challenging as, in many cases, the 'gold standard' assessment method is video polysomnography, which may not be available in all settings. Various validated questionnaires are available to support evaluation, and alternative approaches, using wearable sensors and digital technology, are now being developed to facilitate early diagnosis and monitoring. This review sets out the parameters of what can be considered normal nocturnal movement and describes the clinical manifestations, usual clinical or objective assessment methods, and evidence for optimal management strategies for the common nocturnal motor disorders that neurologists will encounter in people with PD in their clinical practice.

Anticholinergic drugs for parkinsonism and other movement disorders.

Anticholinergic (AC) drugs, a medication class that acts by blocking nicotinic and muscarinic acetylcholine receptors, were first utilized for therapeutic purposes in the mid-19th century. Initial applications were as symptomatic therapy for Parkinson disease (PD), a practice continuing to the present. Initially, the AC drugs used were naturally-occurring plant compounds. Synthetic AC drugs were developed in the late 1940s and predominated in neurological therapeutics. Until the advent of pharmaceuticals acting upon striatal dopaminergic motor pathways, AC drugs provided the only effective means for lessening tremors and other clinical problems of the PD patient. However, because dopaminergic compounds are so effective at meeting the needs of the typical PD patient, AC medications are far less utilized by clinicians today. In recent years, there has been only a few investigations of AC drugs as neurological treatments. This review will revisit the clinical landscape of AC pharmacology and application for movement disorders along with recent research in search of improving therapeutics with AC drugs.