Search Results (250)

Since the first emergence of the Bluetongue virus (BTV) in 2006 in Northern Europe, there has been a reported association between BTV Serotype 8 (BTV-8) and brain malformations in calves. The first BTV-3 outbreak in Germany was registered in October 2023. Since then, numbers have increased steadily. In a suckler cow herd in the Lower Saxony region, two Angus calves with clinical signs of diffuse encephalopathy, including ataxia, abnormal gait, and central blindness, were born in autumn 2024. Both calves were submitted for Magnetic Resonance Imaging (MRI) and pathological examination, revealing hydranencephaly and internal hydrocephalus, respectively. BTV-3 was detected in blood and tissue samples of both calves using BTV-specific real-time PCR. The presented findings demonstrate that there seems to be an association between transplacental BTV-3 infections and congenital malformations in calves, as previously reported for BTV-8 and -10. Full article

Accurate gait assessment is essential for managing pathological locomotion, especially in elderly patients recovering from hip joint surgeries. Inertial measurement units (IMUs) provide real-time, objective data in clinical settings. This study examined pelvic oscillations in sagittal, frontal, and transverse planes using a wearable IMU system in two groups: Group A (n = 15, osteosynthesis metallica) and Group B (n = 34, arthroplasty), all over age 65. Gait analysis was conducted during assisted and unassisted walking. In the frontal plane, both groups showed statistically significant improvements: Group A from 46.4% to 75.2% (p = 0.001) and Group B from 52.6% to 72.2% (p = 0.001), reflecting enhanced lateral stability. In the transverse plane, Group A improved significantly from 47.7% to 80.2% (p = 0.001), while Group B showed a non-significant increase from 73.0% to 80.5% (p = 0.068). Sagittal plane changes were not statistically significant (Group A: 68.8% to 71.1%, p = 0.313; Group B: 76.4% to 69.1%, p = 0.065). These improvements correspond to better pelvic symmetry and postural control, which are critical for a safe and stable gait. Improvements were more pronounced during unassisted walking, indicating better pelvic control. These results confirm the clinical utility of IMUs in capturing subtle gait asymmetries and monitoring recovery progress. The findings support their use in tailoring rehabilitation strategies, particularly for enhancing frontal and transverse pelvic stability in elderly orthopedic patients. Full article

A central challenge in movement neuroscience is developing methods for non-invasive spatiotemporal imaging of brain activity during natural, whole-body movement. We test the utility of a new brain imaging modality, optically pumped magnetoencephalography (OP-MEG), as an instrument to study the spatiotemporal dynamics of human walking. Specifically, we ask whether known physiological signals can be recovered during discrete steps involving large-scale, whole-body translation. Our findings show that by using OP-MEG, we can image the brain during large-scale, natural movements. We provide proof-of-principle evidence for movement-related changes in beta band activity during stepping vs. standing, which are source-localized to the sensorimotor cortex. This work supports the significant potential of the OP-MEG modality for addressing fundamental questions in human gait research relevant to both the physiological and pathological mechanisms of walking. Full article

As gaitpathology assessment systems improve both in accuracy and efficiency, the prospect of using these systems in real healthcare applications is becoming more realistic. Although gait analysis systems have proven capable of detecting gait abnormalities in supervised tasks in laboratories and clinics, there is comparatively little investigation into making such systems explainable to healthcare professionals who would use gait analysis in practice in home-based settings. There is a “black box” problem with existing machine learning models, where healthcare professionals are expected to “trust” the model making diagnoses without understanding its underlying reasoning. To address this applicational barrier, an end-to-end pipeline is introduced here for creating graph feature embeddings, generated using a bespoke Spatio-temporal Graph Convolutional Network and per-joint Principal Component Analysis. The latent graph embeddings produced by this framework led to a novel semi-supervised weighting function which quantifies and ranks the most important joint features, which are used to provide a description for each pathology. Using these embeddings with a K-means clustering approach, the proposed method also outperforms the state of the art by between 4.53 and 16% in classification accuracy across three datasets with a total of 14 different simulated gait pathologies from minor limping to ataxic gait. The resulting system provides a workable improvement to at-home gait assessment applications by providing accurate and explainable descriptions of the nature of detected gait abnormalities without need of prior labeled descriptions of detected pathologies. Full article

Clinical mastitis in small ruminants is usually seen with an incidence of less than 5% and most cases, especially with hyperacute evolution, are not referred for hospital care. During the 5-year survey, 16 goats and 7 sheep, totaling 23 small ruminants, met the inclusion criteria with a definitive diagnosis of clinical mastitis. Clinical signs ranged greatly among cases, varying from septic state in hyperacute cases, and enlarged, pendulous udder associated with chronic pain and abnormal gait in chronic cases. Microbiological culture revealed a wide array of bacterial pathogens, including Staphylococcus aureus, Escherichia coli, Streptococcus spp., and Pasteurella spp. In vitro antimicrobial susceptibility profiles varied greatly among bacteria isolates, ranging from sensitive to all tested antimicrobials to a multi-resistant profile. Pathological features included hyperemia and dark red areas of necrosis in the skin, marked hyperemia of the affected gland at the cut surface, lactiferous ducts and gland cisterns filled by cloudy or suppurative fluid, abscesses, and hardness of the mammary gland parenchyma. This retrospective study highlights the multifactorial nature and clinical variability of mastitis in small ruminants, demonstrating its significant impact on animal health, welfare, and production. Full article

Freezing of gait (FOG) is a disabling symptom associated with Parkinson’s disease (PD). Its understanding and effective treatment is compromised due to the difficulty in reliably triggering FOG in clinical and laboratory environments. The Cleveland Clinic-Virtual Home Environment (CC-VHE) platform was developed to address the challenges of eliciting FOG by combining an omnidirectional treadmill with immersive virtual reality (VR) environments to induce FOG under physical, emotional, and cognitive triggers. Recent developments in deep brain stimulation devices that sense neural signals from the subthalamic nucleus in real time offer the potential to understand the underlying neural mechanism(s) of FOG. This manuscript presents the coupling of the CC-VHE technology, VR paradigms, and the experimental and analytical methods for recording and analyzing synchronous cortical, subcortical, and kinematic data as an approach to begin to understand the nuanced neural pathology associated with FOG. To evaluate the utility and feasibility of coupling VR and neural sensing technology, initial data from one participant are included. Full article

Background: Previous studies have indicated that transcutaneous electrical nerve stimulation (TENS) is highly effective in improving the treatment of neuropathy and achieving maximum recovery in the shortest time. However, its effectiveness in the early stages of the disease has not been studied, and no comparative analysis has been conducted between different modalities of TENS. Materials and Methods: This study included 82 patients with acute and subacute fibular tunnel (FT) syndrome lasting no more than 15 days. Patients were randomized into the following four groups depending on the modality of TENS used: sham TENS (20 patients), HF TENS (20 patients), LF TENS (21 patients), and a combined HF/LF TENS group (21 patients). Before treatment, immediately after treatment, and 3 months after the end of treatment patients were examined to determine the severity of hypoesthesia, motor deficit, and gait disturbance. Results: The reduction in hypoesthesia averaged after HF TENS, LF TENS, and sham TENS was 50.7% (p ≤ 0.01), 37.8 (p ≤ 0.01), and 11.4% (p > 0.05), respectively. The regression of motor deficit and gate disorders reached 61% after LF TENS (p ≤ 0.01), 6% after HF TENS (p > 0.05), and 6% (p > 0.05) after sham TENS. The combination of HF and LF TENS resulted in a 54.8% (p ≤ 0.01) reduction in hypoesthesia and 61.3% (p ≤ 0.01) regression of motor deficit, with a superior 30% (p ≤ 0.05) improvement in quality of life compared to separate use of HF and LF TENS. Conclusions: Early use of TENS in the treatment of FT syndrome turned out to be highly effective compared to sham TENS in reducing hypoesthesia, motor deficit, and gait disturbance. The analgesic effect and sensory recovery were higher after HF TENS. Motor and gait disturbances were reduced only after LF TENS, with evidence of prolonged regenerative and protective effect for at least 3 months after the end of treatment. The combination of HF TENS and LF TENS increases the therapeutic range of TENS with the achievement of the maximum positive effect of HF TENS and LF TENS after treatment and during the long-term period, which leads to a more pronounced improvement in the quality of life of patients with this pathology. Full article

Background: A pseudotumor adjacent to the odontoid has been reported to be a non-neoplastic mass that is mainly associated with atlantoaxial instability. Methods: Case report. Results: A 72-year-old woman presented to our clinic with a chief complaint of bilateral fine motor dysfunction and gait disturbance. She had rheumatoid arthritis as a comorbidity. Physical examination revealed bilateral hand fine motor dysfunction and signs of myelopathy, including hyperreflexia of the deep tendon reflexes in the lower extremities. Magnetic resonance imaging (MRI) showed a retro-odontoid pseudotumor. Surgery was proposed to the patient, but she did not wish to undergo surgery at this time. At a follow-up visit approximately one year after the initial visit, she complained of the progression of the bilateral hand fine motor dysfunction and gait disturbance. MRI demonstrated a pseudotumor in the space anterior to the odontoid process, indicating that the localization of the pseudotumor around the odontoid process changed from the posterior space to the anterior space in its natural course. Conclusions: The speculated sequential mechanism of the change in the location of the pseudotumor from the posterior space to anterior space to the odontoid process in the natural course is as follows: As the rheumatoid arthritis progressed, the C1-2 joint was immobilized in the dislocated position, and as a result, the retro-odontoid pseudotumor disappeared due to immobilization of the C1-2 joint. Following the disappearance of the retro-odontoid pseudotumor, the odontoid process shifted backward owing to rupture of the transverse annular ligament. Consequently, a new space appeared in front of the odontoid process. Subsequently, damage to the apical and alar ligaments resulted in pseudotumor formation in the new space. Considering our case, the formation of an antero-odontoid pseudotumor occurs only in limited cases, with extreme progression of the pathology. Most cases of retro-odontoid pseudotumors are treated by surgery before such a progression; therefore, we consider that such a case has not yet been reported in the literature. Full article

In addition to axial motor complications such as abnormal posture, instability, falls, and gait variability, neurodegenerative diseases like Parkinsonian syndromes include executive dysfunction, Parkinson’s disease dementia, and neuropsychiatric symptoms. These motor disorders significantly affect mobility, quality of life, and well-being. Recently, physical activity of various intensities monitored both remotely and face-to-face via digital health technologies, mobile platforms, or sensory cues has gained relevance in managing idiopathic and atypical Parkinson’s disease (PD and APD). Remote monitoring solutions, including home-based digital health assessments using semi-structured activities, offer unique advantages. Real-world gait parameters like walking speed can now be continuously assessed with body-worn sensors. Developing effective strategies to slow pathological aging and mitigate neurodegenerative progression is essential. This study presents outcomes of using digital health technologies (DHTs) for remote assessment of motor function, physical activity, and daily living tasks, aiming to reduce disease progression in PD and APD. In addition to wearable inertial sensors, clinical rating scales and digital biomarkers enhance the ability to characterize and monitor motor symptoms. By reviewing recent literature, we identified emerging trends in quantifying and intervening in neurodegeneration using tools that evaluate both remote and face-to-face physical activity. Our findings confirm that DHTs offer accurate detection of motor fluctuations and support clinical evaluations. In conclusion, DHTs represent a scalable, effective strategy for improving the clinical management of PD and APD. Their integration into healthcare systems may enhance patient outcomes, support early intervention, and help delay the progression of both motor and cognitive symptoms in aging individuals. Full article

Hydrocephalus is a chronic neurological condition caused by abnormal cerebrospinal fluid (CSF) accumulation, significantly impacting patients’ quality of life. Its causes remain poorly understood, making neurosurgery the primary treatment. Research suggests that hydrocephalus may result from impaired macromolecular clearance, leading to increased osmotic load in the ventricles. Macromolecules are cleared via processes such as transcytosis, involving caveolae- and clathrin-dependent pathways, soluble N-ethylmaleimide-sensitive factor activating protein receptor (SNARE) proteins, and vesicular trafficking. Abnormalities in transcytosis components, such as mutations in alpha-SNAP (α-soluble NSF attachment protein) and SNARE complexes, disrupt membrane organization and vesicle fusion, potentially contributing to hydrocephalus. Other factors, including alpha-synuclein and Rab proteins, may also play roles in vesicle dynamics. Insights from animal models, such as hyh (hydrocephalus with hop gait) mice, highlight the pathological consequences of these disruptions. Understanding transcytosis abnormalities in hydrocephalus could lead to novel therapeutic strategies aimed at enhancing macromolecular clearance, reducing ventricular fluid buildup, and improving patient outcomes. Full article

Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disorder marked by cerebellar dysfunction, ataxic gait, and progressive motor impairments. SCA2 is caused by the pathologic expansion of CAG repeats in the ataxin-2 (ATXN2) gene, leading to a toxic gain-of-function mutation of the ataxin-2 protein. Currently, SCA2 therapeutic efforts are expanding beyond symptomatic relief to include disease-modifying approaches such as antisense oligonucleotides (ASOs), high-throughput screening (HTS) for small molecule inhibitors, and gene therapy aimed at reducing ATXN2 expression. In the present study, data mining and machine learning techniques were employed to analyze HTS data and identify robust molecular properties of potential inhibitors of ATXN2. Three HTS datasets were selected for analysis: ATXN2 gene expression, CMV promoter expression, and biochemical control (luciferase) gene expression. Compounds displaying significant ATXN2 inhibition with minimal impact on control assays were deciphered based on effectiveness (E) values (n = 1321). Molecular descriptors associated with these compounds were calculated using MarvinSketch (n = 82). The molecular descriptor data (MD model) was analyzed separately from the experimentally determined screening data (S model) as well as together (MD-S model). Compounds were clustered based on structural similarity independently for the three models using the SimpleKMeans algorithm into the optimal number of clusters (n = 26). For each model, the maximum response assay values were analyzed, and E values and total rank values were applied. The S clusters were further subclustered, and the molecular properties of compounds in the top candidate subcluster were compared to those from the bottom candidate subcluster. Six compounds with high ATXN2 inhibiting potential and 16 molecular descriptors were identified as significantly unique to those compounds (p < 0.05). These results are consistent with a quantitative HTS study that identified and validated similar small-molecule compounds, like cardiac glycosides, that reduce endogenous ATXN2 in a dose-dependent manner. Overall, these findings demonstrate that the integration of HTS analysis with data mining and machine learning is a promising approach for discovering chemical properties of candidate drugs for SCA2. Full article

The cerebellar peduncles (CPs) contain essential pathways connecting the cerebellum and other regions of the central nervous system, yet their role is often overlooked in daily medical practice. Individuals with the FMR1 premutation are at risk of developing fragile X-associated tremor/ataxia syndrome (FXTAS), a late-onset neurodegenerative disorder. The major clinical and radiological signs of FXTAS are cerebellar gait ataxia, intention tremor, and T2-weighted MRI hyperintensity of the middle cerebellar peduncle (MCP sign). Over the years, metabolic and structural abnormalities have also been described in the CPs of FMR1 premutation carriers, with some being associated with CGG repeat length and FMR1 mRNA levels. Evidence seems to associate the clinical disfunction observed in FXTAS with MCP abnormalities. However, other tracts within the different CPs may also contribute to the symptoms observed in FXTAS. By integrating imaging and pathological data, this review looks to enhance the understanding of the functional anatomy of the CPs and their involvement in different pathological entities, with special interest in premutation carriers and FXTAS. This review, therefore, aims to provide accessible knowledge on the subject of the CPs and their functional anatomy through detailed diagrams, offering a clearer understanding of their role in FMR1 premutation. Full article

Background/Objective: Sarcopenic obesity (SO), a pathological syndrome characterized by the co-existence of diminished muscle mass and excessive adipose accumulation, significantly compromises the quality of life in older adults. The purpose of this study was to systematically evaluate the efficacy of exercise, nutritional interventions, and neuromuscular electrical stimulation (NMES) in preventing and managing SO in middle-aged and older adults. Methods: A comprehensive search was conducted across PubMed, Web of Science, Embase, Cochrane Library, and CNKI for randomized controlled trials (RCTs) until January 2025. Meta-analyses were performed using the random-effects model and fixed-effects model based on the degree of heterogeneity and calculating the mean differences (MD) with 95% confidence intervals (CI). Subgroup analyses compared the intervention types. Results: Twenty-nine RCTs (1622 participants) were included. Exercise interventions significantly reduced the body fat percentage (MD = −2.79%, 95% CI: −3.94, −1.64, p < 0.001, I² = 74%), fat mass (MD = −6.77 kg, 95% CI: −11.48, −2.06, p = 0.005, I² = 98%), waist circumference (MD = −2.05 cm, 95% CI: −3.64, −0.46, p = 0.01, I² = 0%) and LDL-C (MD: −7.45 mg/dL, 95% CI: −13.82, −1.07, p = 0.02, I² = 0%), while improving handgrip strength (MD = 2.35 kg, 95% CI: 1.99, 2.70, p < 0.001, I² = 52%) and gait speed (MD = 0.19 m/s, 95% CI: 0.13, 0.24, p < 0.001, I² = 89%). Mixed training outperformed resistance-only regimens in reducing the body fat percentage and enhancing functional outcomes. NMES reduced the body fat percentage (MD = −2.01%, 95% CI: −3.54, −0.48, p = 0.01, I² = 93%) and waist circumference (MD = −1.72 cm, 95% CI: −2.35, −1.09, p < 0.001, I² = 0%) while increasing the Skeletal Muscle Index (MD = 0.26 kg/m², 95% CI: 0.22, 0.29, p < 0.001, I² = 38%). Synergy with nutritional supplementation amplified these effects. Nutritional interventions modestly improved total fat-free mass (MD = 0.77 kg, 95% CI: 0.04, 1.50, p = 0.04, I² = 0%) and handgrip strength (MD = 1.35 kg, 95% CI: 0.71, 2.00, p < 0.001, I² = 0%) but showed no significant impact on the metabolic markers (TG, TC, glucose, hemoglobin, and HOMA-IR). Conclusions: Exercise, particularly multimodal regimens combining aerobic and resistance training, is the cornerstone for improving body composition and physical function in SO. NMES serves as an effective adjunct for accelerating fat loss, while nutritional strategies require integration with exercise or prolonged implementation to yield clinically meaningful outcomes. Future research should prioritize standardized diagnostic criteria and long-term efficacy assessments of multimodal interventions. Full article

(1) Background: Marker-based optical motion tracking is the gold standard in gait analysis; however, markerless solutions are rapidly emerging today. Algorithms like Openpose can track human movement from a video. Few studies have assessed the validity of this method. This study aimed to assess the reliability of Openpose in measuring the kinematics and spatiotemporal gait parameters. (2) Methods: This analysis used simultaneously recorded video and optoelectronic motion capture data. We assessed 20 subjects with different gait impairments (healthy, right hemiplegia, left hemiplegia, paraparesis). The two methods were compared using computing absolute errors (AEs), intraclass correlation coefficients (ICCs), and cross-correlation coefficients (CCs) for normalized gait cycle joint angles. (3) Results: The spatiotemporal parameters showed an ICC between good to excellent, and the absolute error was very small: cadence AE = 1.63 step/min, Mean Velocity AE = 0.16 m/s. The Range of Motion (ROM) showed a good to excellent agreement in the sagittal plane. Furthermore, the normalized gait cycle CCC values indicated moderate to strong coupling in the sagittal plane. (4) Conclusions: We found Openpose to be accurate for sagittal plane gait kinematics and for spatiotemporal gait parameters in the healthy and pathological subjects assessed. Full article

Background: Chronic health conditions frequently result in gait disturbances, impacting quality of life and mobility. Smartphone-based gait analysis has emerged as a promising alternative to traditional methods, offering accessibility, cost effectiveness, and portability. This systematic review evaluates smartphone-based inertial measurement units’ validity, reliability, and sensitivity for assessing gait parameters in individuals with chronic conditions. Methods: A comprehensive literature search in Web of Science, PubMed, Google Scholar, and SportDiscus identified 54 eligible studies. Results: Validity was evaluated in 70% of the included studies, with results showing moderate-to-strong associations between smartphone apps and gold-standard systems (e.g., Vicon), particularly for parameters such as gait speed and stride length (e.g., r = 0.42–0.97). However, variability was evident across studies depending on the health condition, measurement protocols, and device placement. Reliability, examined in only 27% of the included studies, displayed a similar trend, with intraclass correlation coefficients (ICCs) ranging from moderate (ICC = 0.53) to excellent (ICC = 0.95) for spatiotemporal parameters. Sensitivity and specificity metrics were explored in 41% and 35% of the included studies, respectively, with several applications achieving over 90% accuracy in detecting gait abnormalities. Feasibility was rated positively in 94% of the included studies, emphasising the practical advantages of smartphones in diverse settings. Conclusions: The findings of this systematic review endorse the clinical potential of smartphones for remote and real-world gait analysis, while highlighting the need for standardised methodologies. Future research should adopt a more comprehensive approach to psychometric evaluation, ensuring that reliability aspects are adequately explored. Additionally, long-term studies are needed to assess the effectiveness of smartphone-based technologies in supporting the personalised treatment and proactive management of chronic conditions. Full article