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.
下肢外骨骼康复机器人应用于下肢运动功能障碍人群，使患者能够通过机器恢复或改善行走和运动能力。但是，基于不同疾病，患者所需求的功能是不同的，比如肌力不足的患者需要增强助力，脊髓损伤患者需要运动代偿，步态异常患者需要步态矫正，脑卒中患者需要神经康复。为了设计对疾病更有针对性的下肢外骨骼康复机器人，本文根据各类下肢功能障碍的特点与康复需求，按照设备所提供的主要功能，对现有的下肢外骨骼康复机器人进行汇总和分析比较，总结现有设备的功能与疾病的相关性，为研究设计新型下肢外骨骼康复机器人提供一定参考。.

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.
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.
CONCLUSIONS: 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.

BACKGROUND: Transcranial sonography (TCS) plays a crucial role in diagnosing Parkinson\'s disease. However, the intricate nature of TCS pathological features, the lack of consistent diagnostic criteria, and the dependence on physicians\' expertise can hinder accurate diagnosis. Current TCS-based diagnostic methods, which rely on machine learning, often involve complex feature engineering and may struggle to capture deep image features. While deep learning offers advantages in image processing, it has not been tailored to address specific TCS and movement disorder considerations. Consequently, there is a scarcity of research on deep learning algorithms for TCS-based PD diagnosis.
METHODS: This study introduces a deep learning residual network model, augmented with attention mechanisms and multi-scale feature extraction, termed AMSNet, to assist in accurate diagnosis. Initially, a multi-scale feature extraction module is implemented to robustly handle the irregular morphological features and significant area information present in TCS images. This module effectively mitigates the effects of artifacts and noise. When combined with a convolutional attention module, it enhances the model\'s ability to learn features of lesion areas. Subsequently, a residual network architecture, integrated with channel attention, is utilized to capture hierarchical and detailed textures within the images, further enhancing the model\'s feature representation capabilities.
RESULTS: The study compiled TCS images and personal data from 1109 participants. Experiments conducted on this dataset demonstrated that AMSNet achieved remarkable classification accuracy (92.79%), precision (95.42%), and specificity (93.1%). It surpassed the performance of previously employed machine learning algorithms in this domain, as well as current general-purpose deep learning models.
CONCLUSIONS: The AMSNet proposed in this study deviates from traditional machine learning approaches that necessitate intricate feature engineering. It is capable of automatically extracting and learning deep pathological features, and has the capacity to comprehend and articulate complex data. This underscores the substantial potential of deep learning methods in the application of TCS images for the diagnosis of movement disorders.

BACKGROUND: Stiff neck is a condition mainly characterised by persistent pain and limited neck movement, which can substantially impact patients\' daily lives during acute episodes. Accordingly, rapid pain relief and restoration of normal activities are the main needs of patients during doctor visits. This study aims to assess the immediate efficacy of acupuncture combined with active exercises in rapidly relieving pain and improving movement disorders within 10 min in patients with acute stiff neck (ASN).
METHODS: This randomised controlled clinical trial is being conducted at a single centre in China. 120 participants diagnosed with ASN will randomly be assigned in a 1:1:1 ratio to one of three groups: the acupuncture combined with active exercise group (group A), sham acupuncture combined with active exercise group (group B) and active exercise only group (group C). Each participant will undergo a single 10 min session. The primary outcome is the effective rate at 10 min of treatment. Secondary outcomes include the effective rate at other time points (0-1, 2, 4, 6 and 8 min), Visual Analogue Scale score and cervical range of motion. The intention-to-treat analysis will include all randomised participants.
BACKGROUND: Ethics approval was obtained from the Ethics Committee of the Second Affiliated Hospital of Yunnan University of Chinese Medicine (2022-009). Written informed consent will be obtained from all participants before randomisation. The findings of this study will be disseminated through publication in a peer-reviewed journal and presentation at conferences.
BACKGROUND: ChiCTR2200066997.

This study aims to integrate a convolutional neural network (CNN) and the Random Forest Model into a rehabilitation assessment device to provide a comprehensive gait analysis in the evaluation of movement disorders to help physicians evaluate rehabilitation progress by distinguishing gait characteristics under different walking modes. Equipped with accelerometers and six-axis force sensors, the device monitors body symmetry and upper limb strength during rehabilitation. Data were collected from normal and abnormal walking groups. A knee joint limiter was applied to subjects to simulate different levels of movement disorders. Features were extracted from the collected data and analyzed using a CNN. The overall performance was scored with Random Forest Model weights. Significant differences in average acceleration values between the moderately abnormal (MA) and severely abnormal (SA) groups (without vehicle assistance) were observed (p < 0.05), whereas no significant differences were found between the MA with vehicle assistance (MA-V) and SA with vehicle assistance (SA-V) groups (p > 0.05). Force sensor data showed good concentration in the normal walking group and more scatter in the SA-V group. The CNN and Random Forest Model accurately recognized gait conditions, achieving average accuracies of 88.4% and 92.3%, respectively, proving that the method mentioned above provides more accurate gait evaluations for patients with movement disorders.

BACKGROUND: Deep brain stimulation (DBS) is a promising therapy for refractory Gilles de la Tourette syndrome (GTS). However, its long-term efficacy, safety, and recommended surgical age remain controversial, requiring evidence to compare different age categories.
METHODS: This retrospective cohort study recruited 102 GTS patients who underwent DBS between October 2006 and April 2022 at two national centers. Patients were divided into two age categories: children (aged < 18 years; n = 34) and adults (aged ≥ 18 years; n = 68). The longitudinal outcomes as tic symptoms were assessed by the YGTSS, and the YBOCS, BDI, and GTS-QOL were evaluated for symptoms of obsessive-compulsive disorder (OCD), depression, and quality of life, respectively.
RESULTS: Overall, these included patients who finished a median 60-month follow-up, with no significant difference between children and adults (p = 0.44). Overall, the YGTSS total score showed significant postoperative improvements and further improved with time (improved 45.2%, 51.6%, 55.5%, 55.6%, 57.8%, 61.4% after 6, 12, 24, 36, 48, and ≥ 60 months of follow-up compared to baseline, respectively) in all included patients (all p < 0.05). A significantly higher improvement was revealed in children than adults at ≥ 60 months of follow-up in the YGTSS scores (70.1% vs 55.9%, p = 0.043), and the time to achieve 60% improvement was significantly shorter in the children group (median 6 months vs 12 months, p = 0.013). At the last follow-up, the mean improvements were 45.4%, 48.9%, and 55.9% and 40.3%, 45.4%, and 47.9% in YBOCS, BDI, and GTS-QOL scores for children and adults, respectively, which all significantly improved compared to baseline (all p < 0.05) but without significant differences between these two groups (all p > 0.05), and the children group received significantly higher improvement in GTS-QOL scores than adults (55.9% vs. 47.9%, p = 0.049).
CONCLUSIONS: DBS showed acceptable long-term efficacy and safety for both children and adults with GTS. Surgeries performed for patients younger than 18 years seemed to show acceptable long-term efficacy and safety and were not associated with increased risks of loss of benefit compared to patients older than 18 at the time of surgery. However, surgeries for children should also be performed cautiously to ensure their refractoriness and safety.

OBJECTIVE: It is known that difficulty sleeping after a fracture can have negative effects on both mental and physical health and may prolong the recovery process. The objective of this study is to explore how sleep quality and psychological health are linked in patients with pelvic and acetabulum fractures.
METHODS: A study was conducted on 265 patients between 2018 and 2022 who had suffered pelvic and acetabulum fractures. The study examined various factors, including age, gender, cause of injury, post-operative complications, and injury severity. The study employed ordinal logistic regression to examine the relationship between various pelvic fractures and seven subscales of the Majeed Pelvic Score (MPS), as well as the Sleep Disorder Questionnaire (SDQ) and Beck Depression Inventory (BDI). The study focused on the postoperative outcome one year after surgery, and each patient was assessed at the one-year mark after surgical intervention. Additionally, the study evaluated the functional outcome, sleep quality, and psychological disorders of the patients.
RESULTS: From 2018 to 2022, a total of 216 patients suffered from pelvic and acetabulum fractures. Among them, 6.6% experienced borderline clinical depression, and 45.2% reported mild mood disturbances. Anxiety was found to be mild to moderate in 46% of Tile C and posterior acetabulum wall fracture patients. About 24.8% of patients reported insomnia, while 23.1% reported sleep movement disorders. However, no significant correlation was found between fracture types and sleep disorders. The mean Majeed pelvic score (MPS) was 89.68.
CONCLUSIONS: Patients with pelvic and acetabular fractures typically experience functional improvement, but may also be at increased risk for insomnia and sleep movement disorders, particularly for certain types of fractures. Psychological well-being varies between fracture groups, with signs of borderline clinical depression observed in some cases. However, anxiety levels do not appear to be significantly correlated with pelvic and acetabular fractures.

UNASSIGNED: Movement disorders (MDs) are common in anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis but are poorly studied. This study aimed to investigate the clinical characteristics of MDs and the clinical differences between patients with and without MDs in anti-NMDAR encephalitis.
UNASSIGNED: A retrospective study was conducted on patients with anti-NMDAR encephalitis who were first diagnosed and treated in the First People\'s Hospital of Yunnan Province from January 2017 to September 2022. According to the presence or absence of MDs, all patients were divided into two groups, and the clinical manifestations, auxiliary examinations, and prognosis of the two groups were compared. Patients in the MDs group were further subgrouped by different ages (<12 years, 12-17 years, and ≥ 18 years) and genders, and the prevalence of each MD was compared in different age and gender groups.
UNASSIGNED: (1) In our study there were 64 patients, of whom 76.6% (49/64) presented with MDs; the median age of onset in patients with MDs was 21 (15,35) years and 65.3% (32/49) were female. The three most common MDs were orofacial dyskinesia (OFLD) (67.3%), dystonia (55.1%), and stereotypies (34.7%). Patients <12 years were more likely to experience chorea than patients in other age groups (p = 0.003). (2) Compared with the non-MDs group, patients in the MDs group showed higher rates of prodromal manifestations, autonomic dysfunction, consciousness disorders, as well as pulmonary infection and gastrointestinal dysfunction (all p < 0.05). Peripheral blood neutrophil to lymphocyte ratio (NLR) (p = 0.014), the proportion of cerebrospinal fluid (CSF) NMDAR antibody titers ≥1:32 (p = 0.047), ICU admission rate (p = 0.04), length of stay (p = 0.007), maximum mRS score in the course of disease (p = 0.001) and mRS score at discharge (p = 0.006) in the MDs group were significantly higher than the non-MDs group.
UNASSIGNED: MDs associated with anti-NMDAR encephalitis were predominantly hyperkinetic. Chorea occurred more commonly in patients aged <12 years. Patients with MDs were prone to autonomic dysfunction, consciousness disorders, pulmonary infection, and gastrointestinal dysfunction; they had more intense inflammation, more severe disease, and a poorer short-term prognosis.

Gait disorder (GD) is a common problem in cerebral small vessel disease (CSVD). This study aimed to determine (1) the early characteristics of GD in CSVD, (2) cerebellar neuroimaging features related to GD in CSVD, and (3) the association of cognitive impairment with GD.
In total, 183 subjects were enrolled in this study: patients with CSVD with normal cognitive function (CSVD-NC) group (64 subjects), patients with CSVD with mild cognitive impairment (CSVD-MCI) group (66 subjects), and a healthy control (HC) group (53 subjects). The GD patterns were evaluated using the ReadyGo three-dimensional motion balance testing system. Meanwhile, we analyzed the cerebrum and cerebellum structurally and functionally. Correlation analyses were conducted among gait indicators, neuroimaging features, and neuropsychological tests.
Both the CSVD-NC and CSVD-MCI groups had a reduced stride length, cortical atrophy in the left cerebellum VIIIb, and decreased functional connectivity between the left cerebellum VIIIb and left SFGmed compared with the HC group. In the correlation analysis, the gray matter probability of the left cerebellum VIIIb was closely related to stride length in the HC group. In the CSVD-MCI group, linguistic function, memory, and attention were significantly correlated with gait performance.
Decreased stride length was the earliest characteristic of GD in CSVD. Structural and functional regulation of the left cerebellum VIIIb could play a particularly important role in early GD in CSVD.

BACKGROUND: The features of cerebral small vessel disease (CSVD) range from occurrence of asymptomatic radiological markers to symptomatic characteristics that include cognitive deficits and gait decline. The aim of the present study was to examine whether handwriting movement is abnormal in older people with CSVD through handwriting and drawing tasks using digitized handwriting kinematic assessment technology.
METHODS: Older subjects (n = 60) were grouped according to Fazekas score, with 16 in the Severe CSVD group, 12 in the Non-severe group and 32 in the Healthy group. Kinematic data were recorded and analyzed during handwriting and drawing tasks: signature; writing of Chinese characters (\"\" and \"\"); and Archimedes\' spiral drawing.
RESULTS: The Severe CSVD group showed lower velocity and higher tortuosity during signature writing, lower velocity of stroke #4 of \"\" and vertical size of \"\" than did the Non-severe and Healthy groups. Both Severe CSVD and Non-severe CSVD subjects displayed higher average normalized jerk than did the Healthy group. Partial correlation analysis adjusting for age, gender, education, and mini-mental state evaluation (MMSE) showed that CSVD burden was positively associated with tortuosity of signature and average normalized jerk of Archimedes\' spiral, and was negatively associated with velocity of strokes #3 and #4 of \"\", as well as vertical size of \"\".
CONCLUSIONS: Older adults with CSVD showed abnormal handwriting movement. And the handwriting abnormalities captured by digitized handwriting analysis were correlated with CSVD severity in users of simplified Chinese characters.