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Lower limb exoskeleton rehabilitation robots are used to improve or restore the walking and movement ability of people with lower limb movement disorders. However, the required functions for patients differ based on various diseases. For example, patients with weak muscle strength require power assistance, patients with spinal cord injuries require motion compensation, patients with gait abnormalities require gait correction, and patients with strokes require neural rehabilitation. To design a more targeted lower limb exoskeleton rehabilitation robot for different diseases, this article summarised and compared existing lower limb exoskeleton rehabilitation robots according to their main functions and the characteristics and rehabilitation needs of various lower limb movement disorders. The correlations between the functions of existing devices and diseases were summarised to provide certain references for the development of new lower limb exoskeleton rehabilitation robots.

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Movement disorders of the stomatognathic system include oromandibular dystonia (OMD), oral dyskinesia, sleep/awake bruxism, functional (psychogenic) stomatognathic movement disorders (FSMDs), tremors, and hemimasticatory spasm (HMS). Most patients first consult dentists or oral surgeons. The differential diagnoses of these involuntary movements require both neurological and dental knowledge and experience, and some of these movement disorders are likely to be diagnosed as bruxism or temporomandibular disorders (TMDs) by dental professionals. However, excepting movement disorder specialists, neurologists may find it difficult to differentially diagnose these disorders. Patients may visit numerous medical and dental specialties for several years until a diagnosis is made. Therefore, movement disorders of the oral region may represent a blind spot between dentistry and medicine.The present narrative review aimed to describe the clinical characteristics and differential diagnoses of some movement disorders, as well as the problems bridging dentistry and medicine. Movement disorders have the following characteristic clinical features: OMD - task specificity, sensory tricks and the morning benefit; FSMDs - inconsistent and incongruous symptoms, spreading to multiple sites and the lack of sensory tricks; and HMS - the paroxysmal contraction of unilateral jaw-closing muscles, the persistence of symptoms during sleep and the loss of a silent period. A careful differential diagnosis is essential for the adequate and effective treatment of each involuntary movement. Refining the latest definition of bruxism may be necessary to prevent the misdiagnosis of involuntary movements as bruxism.Both dental and medical professionals should take an interest in the movement disorders of the stomatognathic system, and these disorders should be diagnosed and treated by a multidisciplinary team.

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Motor dysfunction, which includes changes in gait, balance, and/or functional mobility, is a lesser-known feature of Alzheimer's Disease (AD), especially as it relates to the development of neuropsychiatric symptoms (NPS). This study (1) compared rates of NPS between autopsy-confirmed AD patients with and without early-onset motor dysfunction and (2) compared rates of non-AD dementia autopsy pathology (Lewy Body disease, Frontotemporal Lobar degeneration) between these groups. This retrospective longitudinal cohort study utilized National Alzheimer's Coordinating Center (NACC) data. Participants (N = 856) were required to have moderate-to-severe autopsy-confirmed AD, Clinical Dementia Rating-Global scores of ≤1 at their index visit, and NPS and clinician-rated motor data. Early motor dysfunction was associated with significantly higher NPI-Q total scores (T = 4.48, p < .001) and higher odds of delusions (OR [95%CI]: 1.73 [1.02-2.96]), hallucinations (2.45 [1.35-4.56]), depression (1.51 [1.11-2.06]), irritability (1.50 [1.09-2.08]), apathy (1.70 [1.24-2.36]), anxiety (1.38 [1.01-1.90]), nighttime behaviors (1.98 [1.40-2.81]), and appetite/eating problems (1.56 [1.09-2.25]). Early motor dysfunction was also associated with higher Lewy Body disease pathology (1.41 [1.03-1.93]), but not Frontotemporal Lobar degeneration (1.10 [0.71-1.69]), on autopsy. Our results suggest that motor symptoms in early AD are associated with a higher number and severity of NPS, which may be partially explained by comorbid non-AD neuropathology.

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Background: Spontaneous intracranial hypotension (SIH), a treatable condition that stems from spinal leakage of cerebrospinal fluid, usually presents with orthostatic headache, nausea, vomiting, dizziness, and tinnitus. A subset of patients, especially those with sagging of brain structures ("brain sagging syndrome"), develop several movement abnormalities. As SIH is treatable with epidural blood patch (EBP), movement disorders neurologists should be familiar with this syndrome. Method: The authors performed a literature search in PubMed in July 2024 using the Boolean phrase- (("Brain sagging")OR("Intracranial hypotension"))AND(((((((((("Movement disorders")OR("Involuntary movements"))OR("Tremor"))OR("Dystonia"))OR("Chorea"))OR("Ballismus"))OR("Myorhythmia"))OR ("Tic"))OR("Ataxia"))OR("Parkinsonism")). Result: We tabulated 21 case reports/series that highlighted the presence of movement disorders. The most reported phenomenology is gait unsteadiness. While it usually emerges in the background of the classic SIH symptoms, rarely, patients may present with isolated gait dysfunction. Tremor is the second most reported phenomenology with postural and kinetic tremor being the common subtypes. Holmes tremor has also been reported in SIH. Other reported phenomenologies are parkinsonism, chorea, and dystonia. One study reported a unique phenomenology i.e. compulsive repetitive flexion and breath holding in 35.3% of the patients. In majority of the patients, EBP resulted in substantial clinical and radiological improvement. Discussion: Brain sagging syndrome due to SIH may present with a wide range of movement disorders. Mechanical distortion of the posterior fossa and subcortical structures result in the emergence of such movement abnormality. SIH adds to the list of conditions that result in "treatable movement disorders." Therefore, movement disorders neurologists should be versed with the diagnosis and clinical features of this condition.

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OBJECTIVE: Although previous studies have described phenomenological diagnoses, they lacked description of aetiological spectrum in patients visiting movement disorders (MD) service. Herein, we classify the MD phenomenology and describe aetiology wise distribution of each phenomenology in patients visiting a tertiary care movement disorders service. METHODS: Collected information included demographic profile (age of onset, age at presentation, gender, duration of illness before presentation), predominant MD phenomenology [such as parkinsonism, dystonia, ataxia, tremor, chorea, ballism, myoclonus, tics, stereotypy, restless legs syndrome (RLS) and others], diagnostic evaluations and detected aetiology. RESULTS: This observational study included 1140 MD patients over a span of 5 years. The median (IQR) age of onset was 49 (35-60) years and age at presentation was 54 (40-65) years, with median duration of illness being 36 (18-72) months. Nearly two-third of patients were males (M:F=731:409). Parkinsonism (n=494, 43.3 %) was the most common MD phenomenology observed, followed by dystonia (n=219, 19.2 %), ataxia (n=125, 11 %), tremor (n=118, 10.4 %), myoclonus (n=73, 6.4 %), chorea (n=40, 3.5 %), spasticity (n=22, 1.9 %), tics (n=8, 0.7 %), and RLS (n=8, 0.7 %). Thirty-three (2.9 %) patients were grouped under miscellaneous MDs. Overall, neurodegenerative disorders (57.4 %) were the most common cause of MDs. Parkinson's disease, genetic dystonia, essential tremor, genetic ataxias, hemifacial spasm, and Huntington's disease were the most common aetiologies for parkinsonism, dystonia, tremor, ataxia, myoclonus, and chorea, respectively. CONCLUSION: Parkinsonism was the most common phenomenology observed in MD patients, and was followed by dystonia, ataxia and tremor. Neurodegenerative disorders were the most common aetiology detected.

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The advent of computer vision technology and increased usage of video cameras in clinical settings have facilitated advancements in movement disorder analysis. This review investigated these advancements in terms of providing practical, low-cost solutions for the diagnosis and analysis of movement disorders, such as Parkinson's disease, ataxia, dyskinesia, and Tourette syndrome. Traditional diagnostic methods for movement disorders are typically reliant on the subjective assessment of motor symptoms, which poses inherent challenges. Furthermore, early symptoms are often overlooked, and overlapping symptoms across diseases can complicate early diagnosis. Consequently, deep learning has been used for the objective video-based analysis of movement disorders. This study systematically reviewed the latest advancements in automatic two-dimensional & three-dimensional video analysis using deep learning for movement disorders. We comprehensively analyzed the literature published until September 2023 by searching the Web of Science, PubMed, Scopus, and Embase databases. We identified 68 relevant studies and extracted information on their objectives, datasets, modalities, and methodologies. The study aimed to identify, catalogue, and present the most significant advancements, offering a consolidated knowledge base on the role of video analysis and deep learning in movement disorder analysis. First, the objectives, including specific PD symptom quantification, ataxia assessment, cerebral palsy assessment, gait disorder analysis, tremor assessment, tic detection (in the context of Tourette syndrome), dystonia assessment, and abnormal movement recognition were discussed. Thereafter, the datasets used in the study were examined. Subsequently, video modalities and deep learning methodologies related to the topic were investigated. Finally, the challenges and opportunities in terms of datasets, interpretability, evaluation methods, and home/remote monitoring were discussed.

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BACKGROUND: Diabetic Mellitus (DM) has progressively emerged as a worldwide health problem, leading to the widespread deployment of antidiabetic drugs as the primary therapy in the global population. The incidence of diabetes medications-related movement disorders (drMD) is noteworthy but underestimated by clinical practitioners. RESEARCH DESIGN AND METHODS: In order to address the incidence of drMD in DM patients and realize the serious outcomes associated with drMD, we conducted a real-world pharmacovigilance study of 612,043 DM patients using the FDA Adverse Event Reporting System (FAERS) database from January 2004 to September 2023. Reporting Odd Ratio (ROR) was calculated to reflect the risk of drMD. A multivariable logistic regression analysis was employed to adjust crude ROR with the mixed factors including age, sex and various antidiabetic treatments. Afterward, a Mendelian Randomization (MR) study was performed to elucidate the underlying genetic correlation between the genetically proxied targets of antidiabetic drugs and motor disorders. RESULTS: Among 11,729 cases of motor adverse events in DM patients, six categories of drMD were significantly associated with DM medications. Noticeably, metformin was revealed to drastically increase the incidence of parkinsonism (adjusted ROR:3.97; 95 %CI (3.03, 5.19), p = 5.68e-24), bradykinesia (adjusted ROR:1.69; 95 %CI (1.07,2.59), p = 0.02) and irregular hyperkinesia, including chorea, choreoathetosis and athetosis. Insulin/insulin analogues and GLP-1 analogues presented notably higher odds of tremor: the adjusted ROR (aROR) of insulin and GLP-1 analogue is respectively 1.24 (95 %CI (1.15,1.34), p = 2.51e-08) and 1.78 (95 %CI (1.65,1.91), p = 5.64e-54). The combined therapeutic effects of multiple genetic variants of metformin, especially AMP-activated protein kinase (AMPK) were markedly linked to a greater likelihood of developing secondary parkinsonism (OR:10.816, p = 0.049) according to MR analyses. CONCLUSION: The use of antidiabetic medications was significantly related to an increased incidence of movement disorders in DM patients. Moreover, MR analyses provided further genetic evidence for the pharmacovigilance study. This comprehensive investigation might help physicians recognize neurological adverse events associated with antidiabetic treatments and administer effective interventions.

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Importance: Functional movement disorders (FMDs) are frequent and disabling neurological disorders with a substantial socioeconomic impact. Few randomized studies have analyzed the effectiveness of combined physiotherapy and psychotherapy in patients' quality of life. Objective: To assess the efficacy of multidisciplinary treatment (physiotherapy plus cognitive behavioral therapy) in FMDs. Design, Setting, and Participants: This was a parallel, rater-blinded, single-center, randomized clinical trial. Recruitment took place from June 2022 to April 2023, and follow-up visits were performed at months 3 and 5, concluding in October 2023. Participants were recruited from a national referral center for movement disorders: the Movement Disorders Unit from the Hospital Universitario Virgen Rocio in Seville, Spain. Patients had to be 18 years or older with a confirmed FMD diagnosis and capable of giving consent to participate. Patients who did not meet eligibility criteria or refused to participate were excluded. Any uncontrolled psychiatric disorder was considered an exclusion criterion. Interventions: Patients were randomly assigned, in a ratio of 1:1 to multidisciplinary treatment (physiotherapy plus cognitive behavioral therapy), or a control intervention (psychological support intervention). Main Outcomes and Measures: Primary outcomes: between-group differences in changes from baseline to month 3 and month 5 in patients' quality of life (EQ-5D-5L score: EQ Index and EQ visual analog scale [EQ VAS]; and 36-Item Short-Form Survey Physical Component Summary [SF-36 PCS] and SF-36 Mental Component Summary [MCS]). Linear mixed models were applied, controlling by baseline severity and applying Bonferroni correction. Results: Of 70 patients screened with an FMD, 40 were enrolled (mean [SD] age, 43.5 [12.8] years; age range, 18-66 years; 32 female [80%]; mean [SD] age at FMD onset, 38.4 [12.1] years), and 38 completed all the follow-up visits and were included in the analysis for primary outcomes. Multidisciplinary treatment improved SF-36 PCS with a mean between-group difference at 3 months of 4.23 points (95% CI, -0.9 to 9.4 points; P = .11) and a significant mean between-group difference at 5 months of 5.62 points (95% CI, 2.3-8.9 points; P < .001), after multiple-comparisons adjustment. There were no significant differences in other quality-of-life outcomes such as SF-36 MCS (mean between-group difference at 3 and 5 months: 0.72 points; 95% CI, -5.5 to 7.0 points; P = .82 and 0.69 points; 95% CI, 2.3-8.9 points; P = .83, respectively), EQ VAS (9.34 points; 95% CI, -0.6 to 19.3 points; P = .07 and 13.7 points; 95% CI, -1.7 to 29.0 points; P = .09, respectively) and EQ Index (0.001 point; 95% CI, -0.1 to 0.1 point; P = .98 and 0.08 points; 95% CI, 0-0.2 points; P = .13, respectively). At months 3 and 5, 42% and 47% of patients, respectively, in the multidisciplinary group reported improved health using the EQ-5D system, compared with 26% and 16% of patients, respectively, in the control group. Conclusions and Relevance: Results show that multidisciplinary treatment (physiotherapy plus cognitive behavioral therapy) effectively improves FMD symptoms and physical aspects of patients' quality of life. Further studies must be performed to evaluate the potential cost-effectiveness of this approach in FMD. Trial Registration: ClinicalTrials.gov Identifier: NCT05634486.

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Paroxysmal movement disorders include two groups of intermittent neurologic disorders: paroxysmal dyskinesia, in which episodes of involuntary hyperkinetic movements (mainly chorea and/or dystonia) occur with preserved consciousness, and episodic ataxias, which are characterized by discrete attacks of cerebellar dysfunction, sometimes associated with progressive ataxia. Since episodic ataxias are individually discussed in Chapter 8 of this volume, we herein provide a deep overview of phenotypic, genetic, pathophysiologic, diagnostic, and treatment aspects of paroxysmal dyskinesia, following the trigger-based nomenclature which distinguishes paroxysmal kinesigenic dyskinesia, paroxysmal nonkinesigenic dyskinesia, and paroxysmal exercise-induced dyskinesia. Emerging paroxysmal dyskinesia not fulfilling the criteria for the above-mentioned subtypes will also be discussed. Phenotypic and genotypic overlap among paroxysmal movement disorders, epilepsy, and migraine have progressively emerged, thus shedding light on a shared pathophysiologic framework. Advances in our understanding of the pathomechanisms underlying paroxysmal movement disorders, which involve dysfunctions of ion channels, proteins associated with the vesical synaptic cycle machinery, and proteins involved in neuronal energy metabolism, point toward a discrete number of converging pathophysiologic pathways and may lay foundations for developing target-specific therapies.

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This study aims to describe movement disorders secondary to cocaine use. To our knowledge, while these presentations have been previously reported in the literature, a comprehensive review has not been published yet. We searched six databases from 1986 to 2022 without language restriction. Case reports, case series, and literature reviews have been analysed to find associations between cocaine use and movement disorders. The present study encompasses epidemiology, clinical manifestations, pathophysiology, and diagnostic challenges of abnormal movements associated with cocaine use. This review highlights the importance of proper initial evaluation and investigation taking into account the broad spectrum of differential diagnoses and exclusion of primary movement disorders. The role of the dopaminergic system in movement disorders is reviewed. Cocaine use is associated with movement disorders such as dystonia, parkinsonism, akathisia, and tics. The complex interaction of multiple factors, including other neurological conditions, such as Tourette syndrome, and additional substances of abuse is discussed. The presentation of these manifestations is often heterogeneous and does not follow a specific pattern. In this way, future research is needed to improve our understanding of the pathophysiological mechanisms and develop novel drug targets for these disorders. Increased awareness among the general public and policymakers could translate into reduced stigma and improved care.

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OBJECTIVE: This article reviews the clinical and antibody spectrum of autoimmune cerebellar ataxia and other autoimmune movement disorders. It highlights characteristic phenotypes and red flags to the diagnosis and how these rare, but treatable, disorders are integrated into a differential diagnosis. LATEST DEVELOPMENTS: An increasing number of neuronal antibodies have been identified in patients with cerebellar ataxia, for example, against Kelch-like protein 11 (KLHL11), seizure-related 6 homolog-like 2, septin-3 and septin-5, or tripartite motif containing protein 9 (TRIM9), TRIM46, and TRIM67. Ig-like cell adhesion molecule 5 (IgLON5) antibody-associated syndromes have emerged as an important alternative diagnostic consideration to various neurodegenerative diseases such as Huntington disease or atypical parkinsonism. Opsoclonus-myoclonus syndrome emerged as the most relevant parainfectious movement disorder related to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). ESSENTIAL POINTS: Autoimmune cerebellar ataxia and other autoimmune movement disorders encompass a broad spectrum of different clinical syndromes, antibodies, and immunopathophysiologic mechanisms. Clinical acumen is key to identifying the cases that should undergo testing for neuronal antibodies. Given the overlap between phenotypes and antibodies, panel testing in serum and CSF is recommended.

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Tremor, defined as an "involuntary, rhythmic, oscillatory movement of a body part", is a key feature of many neurological conditions including Parkinson's disease and essential tremor. Clinical assessment continues to be performed by visual observation with quantification on clinical scales. Methodologies for objectively quantifying tremor are promising but remain non-standardized across centers. Our center performs full-body behavioral testing with 3D motion capture for clinical and research purposes in patients with Parkinson's disease, essential tremor, and other conditions. The objective of this study was to assess the ability of several candidate processing pipelines to identify the presence or absence of tremor in kinematic data from patients with confirmed movement disorders and compare them to expert ratings from movement disorders specialists. We curated a database of 2272 separate kinematic data recordings from our center, each of which was contemporaneously annotated as tremor present or absent by a movement physician. We compared the ability of six separate processing pipelines to recreate clinician ratings based on F1 score, in addition to accuracy, precision, and recall. The performance across algorithms was generally comparable. The average F1 score was 0.84±0.02 (mean ± SD; range 0.81-0.87). The second highest performing algorithm (cross-validated F1=0.87) was a hybrid that used engineered features adapted from an algorithm in longstanding clinical use with a modern Support Vector Machine classifier. Taken together, our results suggest the potential to update legacy clinical decision support systems to incorporate modern machine learning classifiers to create better-performing tools.

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Background: People with rare neurological diseases (RNDs) often experience symptoms related to movement disorders, requiring a multidisciplinary approach, including rehabilitation. Telemedicine applied to rehabilitation and symptom monitoring may be suitable to ensure treatment consistency and personalized intervention. The objective of this scoping review aimed to emphasize the potential role of telerehabilitation and teleassessment in managing movement disorders within RNDs. By providing a systematic overview of the available literature, we sought to highlight potential interventions, outcomes, and critical issues. Methods: A literature search was conducted on PubMed, Google Scholar, IEEE, and Scopus up to March 2024. Two inclusion criteria were followed: (1) papers focusing on telerehabilitation and teleassessment and (2) papers dealing with movement disorders in RNDs. Results: Eighteen papers fulfilled the inclusion criteria. The main interventions were home-based software and training programs, exergames, wearable sensors, smartphone applications, virtual reality and digital music players for telerehabilitation; wearable sensors, mobile applications, and patient home video for teleassessment. Key findings revealed positive outcomes in gait, balance, limb disability, and in remote monitoring. Limitations include small sample sizes, short intervention durations, and the lack of standardized protocols. Conclusion: This review highlighted the potential of telerehabilitation and teleassessment in addressing movement disorders within RNDs. Data indicate that these modalities may play a major role in supporting conventional programs. Addressing limitations through multicenter studies, longer-term follow-ups, and standardized protocols is essential. These measures are essential for improving remote rehabilitation and assessment, contributing to an improved quality of life for people with RNDs.

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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.

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A 32-year old lady with AQP4-Antibody positive neuromyelitis optica developed a new-onset complex movement disorder after therapeutic plasma exchange, which was initially suspected to be hypocalcemic carpo-pedal spasm. However, when her bilateral, distal predominant, paroxysmal, stereotypic, wrist and finger flexor tonic contractions did not respond to serum calcium correction, other diagnoses were considered. The patient had a dramatic response to oral carbamazepine suggesting that the tonic spasms were likely a spinal movement disorder due to the primary demyelinating pathology.

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