A cross-language speech model for detection of Parkinson's disease.

Speech change is a biometric marker for Parkinson's disease (PD). However, evaluating speech variability across diverse languages is challenging. We aimed to develop a cross-language algorithm differentiating between PD patients and healthy controls using a Taiwanese and Korean speech data set.

Factor analysis and clustering of motor and psychiatric dimensions in idiopathic blepharospasm.

Introduction: Idiopathic blepharospasm is a clinically heterogeneous form of focal dystonia, also associated with psychiatric symptoms. The identification of the most relevant sets of motor and psychiatric manifestations may help better understand the specific phenomenology of the condition and delineate blepharospasm subtypes more accurately.

Methods: Patients with idiopathic blepharospasm were from the Dystonia Coalition project.

Prediction of Phenoconversion into Alpha-Synucleinopathy in Patients with isolated REM Sleep Behavior Disorder Using Event-Related Potentials During Visuospatial Attention Tasks.

Study Objectives: Isolated REM sleep behavior disorder (iRBD) is recognized as a prodromal stage of alpha-synucleinopathies. Predicting phenoconversion in iRBD patients remains a key challenge. We aimed to investigate whether event-related potentials (ERPs) recorded during visuospatial attention task can serve as predictors of phenoconversion in iRBD patients.

Spatiotemporal Gait Parameters During Turning and Imbalance in Parkinson's Disease: Video-Based Analysis from a Single Camera.

Objectives: This study aims to objectively evaluate turning gait parameters in Parkinson disease (PD) patients using 2D-RGB video-based analysis and explore their relationships with imbalance.

Methods: We prospectively enrolled PD patients for clinical assessments, balance analysis and gait with 180' turning. Spatiotemporal gait parameters during turning were derived based on video-based analysis and correlated with modified Hoehn and Yahr (mHY) stages and center of pressure (COP) oscillations.

Self-healing actuatable electroluminescent fibres.

Alternating-current electroluminescent fibres are promising candidates as light sources for smart textiles and soft machines. However, physical damage from daily use causes device deterioration or failure, making self-healable electroluminescent fibres attractive. In addition, soft robots could benefit from light-emitting combined with magnetically actuated functions.

Taltirelin Hydrate in Patients with Ataxia Due to Spinocerebellar Degeneration.

Objective: We conducted this study to assess the efficacy and safety of taltirelin hydrate (TH) in spinocerebellar degeneration (SCD).

Methods: Patients were randomly assigned to either the taltirelin group (5 mg orally, twice daily) or the control group. The primary endpoint was changes in the Korean version of Scale for the Assessment and Rating of Ataxia (K-SARA) scores at 24 weeks.

Clonal hematopoiesis with DNMT3A mutations is associated with multiple system atrophy.

Background: Clonal hematopoiesis of indeterminate potential (CHIP) is associated with cardiovascular diseases and other disorders, possibly via inflammation. Recent research suggests a connection of CHIP with neurodegenerative disorders.

Objective: We aimed to investigate the association between multiple system atrophy (MSA) and CHIP.

Machine learning-based classification of Parkinson's disease using acoustic features: Insights from multilingual speech tasks.

This study advances the automation of Parkinson's disease (PD) diagnosis by analyzing speech characteristics, leveraging a comprehensive approach that integrates a voting-based machine learning model. Given the growing prevalence of PD, especially among the elderly population, continuous and efficient diagnosis is of paramount importance. Conventional monitoring methods suffer from limitations related to time, cost, and accessibility, underscoring the need for the development of automated diagnostic tools.

Monoaminergic degeneration, cognition, and autonomic symptom trajectory in early Parkinson's disease.

Introduction: Parkinson's disease (PD) encompasses a range of non-motor symptoms attributed to deficits in various neurotransmitter systems. This study aimed to investigate the associations between cognitive and autonomic symptoms and the degeneration of brainstem monoaminergic nuclei, particularly the serotonergic and noradrenergic nuclei, in a prospective cohort of early PD patients.

Methods: Twenty-eight early PD patients (with an average disease duration of approximately three years) underwent baseline [F]FP-CIT positron emission tomography (PET) scans, Montreal Cognitive Assessment (MoCA), and Composite Autonomic Symptom Scale-31 (COMPASS-31) evaluations, followed by repeat MoCA and COMPASS-31 assessments three years later.

Wireless sequential dual light delivery for programmed PDT in vivo.

Using photodynamic therapy (PDT) to treat deep-seated cancers is limited due to inefficient delivery of photosensitizers and low tissue penetration of light. Polymeric nanocarriers are widely used for photosensitizer delivery, while the self-quenching of the encapsulated photosensitizers would impair the PDT efficacy. Furthermore, the generated short-lived reactive oxygen spieces (ROS) can hardly diffuse out of nanocarriers, resulting in low PDT efficacy.

Symmetric and Profound Monoaminergic Degeneration in Parkinson's Disease with Premotor REM Sleep Behavior Disorder.

Background: Rapid eye movement sleep behavior disorder (RBD) may precede or follow motor symptoms in Parkinson's disease (PD). While over 70% of idiopathic RBD cases phenoconvert within a decade, a small subset develops PD after a more extended period or remains nonconverted. These heterogeneous manifestations of RBD in PD prompt subtype investigations.

The prevalence of non-troublesome dyskinesia in Parkinson's disease.

Introduction: Levodopa-induced dyskinesia is a common complication of long-term treatment of Parkinson's disease (PD), but its impact on daily activities is somewhat controversial. This study investigated the prevalence and severity of dyskinesia, particularly non-troublesome dyskinesia, to provide insights into its significance for long-term PD management.

Methods: We reviewed electronic medical records of 2571 PD patients, who had been followed up at Seoul National University Hospital and were seen between January 2016 and June 2017.

Electroencephalographic spectro-spatial covariance patterns related to phenoconversion in isolated rapid eye movement sleep behavior disorder and their longitudinal trajectories in α-synucleinopathies.

Study Objectives: This study aimed to identify electroencephalographic (EEG) spectro-spatial covariance patterns associated with phenoconversion in isolated rapid eye movement sleep behavior disorder (iRBD) patients and explore their longitudinal trajectories within α-synucleinopathies.

Methods: We assessed 47 participants, including 35 patients with iRBD and 12 healthy controls (HC), through baseline eye-closed resting EEGs. Patients with iRBD underwent follow-up EEG assessments and 18 patients with iRBD converted (12 to Parkinson's disease (PD), 6 to dementia with Lewy bodies [DLB]) during follow-up.

EEG-based machine learning models for the prediction of phenoconversion time and subtype in isolated rapid eye movement sleep behavior disorder.

Study Objectives: Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal stage of α-synucleinopathies and eventually phenoconverts to overt neurodegenerative diseases including Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). Associations of baseline resting-state electroencephalography (EEG) with phenoconversion have been reported. In this study, we aimed to develop machine learning models to predict phenoconversion time and subtype using baseline EEG features in patients with iRBD.