Correlation between vestibular response to caloric stimulation and cochlear function in Ménière's disease.

Objective: To analyze the correlation between caloric testing response patterns with respect to cochlear impairment in individuals with unilateral Ménière's disease.

Methods: In this observational cross-sectional study, the factor under study was Ménière's disease and the outcome was cochleovestibular function, evaluated through caloric stimulation using videonystagmography and four-frequency averages in pure tone audiometry.

Results: A total of 187 patients (equal sex distribution) who met the inclusion criteria were included.

Intra and inter-rater remote assessment of bradykinesia in Parkinson's disease.

Introduction: Reliable assessment of individuals with Parkinson's disease (PD) is essential for providing adequate treatment. Clinical assessment is a complex and time-consuming task, especially for bradykinesia, since its evaluation can be influenced by the degree of experience of the examiner, patient collaboration and individual bias. Improvement of the clinical evaluation can be obtained by considering assessments from several professionals.

Dog-assisted therapy for control of anxiety in pediatric dentistry.

Anxiety is common in pediatric dental care, and affects the behavioral management of children. Animal-assisted therapy (AAT) has been shown to improve children's behavior. However, few studies have applied this technique in dentistry.

Leg Ulcers in Sickle Cell Disease: A Multifactorial Analysis Highlights the Hemolytic Profile.

Sickle cell disease (SCD) is characterized by the presence of the variant S hemoglobin (HbS). The homozygous genotype (HbSS) is sickle cell anemia (SCA), while the double heterozygous of HbS and HbC (HbSC) is defined as SC hemoglobinopathy. The pathophysiology is based on chronic hemolysis, inflammation, endothelial dysfunction, and vaso-occlusion, which results in vasculopathy and serious clinical manifestations.

Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography.

Eliminating facial electromyographic (EMG) signal from the electroencephalogram (EEG) is crucial for the accuracy of applications such as brain computer interfaces (BCIs) and brain functionality measurement. Facial electromyography typically corrupts the electroencephalogram. Although it is possible to find in the literature a number of multi-channel approaches for filtering corrupted EEG, studies employing single-channel approaches are scarce.