Hyposmia correlates with axial signs and gait disorder in Parkinson's disease: an Italian Olfactory Identification Test study.

Background: Olfactory dysfunction is a non-motor symptom and an important biomarker of Parkinson's disease (PD) because of its high prevalence (> 90%). Whether hyposmia correlates with motor symptoms is unclear. In the present study, we aim to investigate the relationship between olfactory impairment with both motor and non-motor features and disease variables (disease duration, stage, and severity).

A Comprehensive Review of COVID-19-Related Olfactory Deficiency: Unraveling Associations with Neurocognitive Disorders and Magnetic Resonance Imaging Findings.

Olfactory dysfunction (OD) is one of the most common symptoms in COVID-19 patients and can impact patients' lives significantly. The aim of this review was to investigate the multifaceted impact of COVID-19 on the olfactory system and to provide an overview of magnetic resonance (MRI) findings and neurocognitive disorders in patients with COVID-19-related OD. Extensive searches were conducted across PubMed, Scopus, and Google Scholar until 5 December 2023.

Hands-feet wireless devices: Test-retest reliability and discriminant validity of motor measures in Parkinson's disease telemonitoring.

Background: Telemonitoring, a branch of telemedicine, involves the use of technological tools to remotely detect clinical data and evaluate patients. Telemonitoring of patients with Parkinson's disease (PD) should be performed using reliable and discriminant motor measures. Furthermore, the method of data collection and transmission, and the type of subjects suitable for telemonitoring must be well defined.

Testing olfactory dysfunction in acute and recovered COVID-19 patients: a single center study in Italy.

Background: Olfactory dysfunction in coronavirus disease 2019 (COVID-19) is common during acute illness and appears to last longer than other symptoms. The aim of this study was to objectively investigate olfactory dysfunction in two cohorts of patients at two different stages: during acute illness and after a median recovery of 4 months.

Methods: Twenty-five acutely ill patients and 26 recovered subjects were investigated.

Biomechanical parameters assessment for the classification of Parkinson Disease using Bidirectional Long Short-Term Memory.

Nowadays objective and efficient assessment of Parkinson Disease (PD) with machine learning techniques is a major focus for clinical management. This work presents a novel approach for classification of patients with PD (PwPD) and healthy controls (HC) using Bidirectional Long Short-Term Neural Network (BLSTM). In this paper, the SensHand and the SensFoot inertial wearable sensors for upper and lower limbs motion analysis were used to acquire motion data in thirteen tasks derived from the MDS-UPDRS III.

Wearable Sensors for Prodromal Motor Assessment of Parkinson's Disease using Supervised Learning.

Parkinson's disease (PD) is a common neurodegenerative disorder characterized by disabling motor and non-motor symptoms. Idiopathic hyposmia (IH), a reduced olfactory sensitivity, is a preclinical marker for the pathology and affects >95% of PD patients. In this paper, SensHand V1 and SensFoot V2, two inertial wearable sensors for upper and lower limbs, were developed to acquire motion data in ten tasks of the MDS-UPDRS III.

Fine Motor Assessment With Unsupervised Learning For Personalized Rehabilitation in Parkinson Disease.

Parkinson disease (PD) is a common neurodegenerative disorders characterized by motor and non-motor impairments. Since the quality of life of PD patients becomes poor while pathology develops, it is imperative to improve the identification of personalized rehabilitation and treatments approaches based on the level of the neurodegeneration process. Objective and precise assessment of the severity of the pathology is crucial to identify the most appropriate treatments.

Objective assessment of blinking and facial expressions in Parkinson's disease using a vertical electro-oculogram and facial surface electromyography.

Objective: Hypomimia is a common and early symptom of Parkinson's disease (PD), which reduces the ability of PD patients to manifest emotions. Currently, it is visually evaluated by the neurologist during neurological examinations for PD diagnosis, as described in task 3.2 of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS).

Upper limb motor pre-clinical assessment in Parkinson's disease using machine learning.

Introduction: Parkinson's disease (PD) is a common neurodegenerative disorder characterized by disabling motor and non-motor symptoms. For example, idiopathic hyposmia (IH), which is a reduced olfactory sensitivity, is typical in >95% of PD patients and is a preclinical marker for the pathology.

Methods: In this work, a wearable inertial device, named SensHand V1, was used to acquire motion data from the upper limbs during the performance of six tasks selected by MDS-UPDRS III.

Comparative Motor Pre-clinical Assessment in Parkinson's Disease Using Supervised Machine Learning Approaches.

Millions of people worldwide are affected by Parkinson's disease (PD), which significantly worsens their quality of life. Currently, the diagnosis is based on assessment of motor symptoms, but interest toward non-motor symptoms is increasing, as well. Among them, idiopathic hyposmia (IH) is associated with an increased risk of developing PD in healthy adults.

Automated Systems Based on Wearable Sensors for the Management of Parkinson's Disease at Home: A Systematic Review.

Background: Parkinson's disease is a common neurodegenerative pathology that significantly influences quality of life (QoL) of people affected. The increasing interest and development in telemedicine services and internet of things technologies aim to implement automated smart systems for remote assistance of patients. The wide variability of Parkinson's disease in the clinical expression, as well as in the symptom progression, seems to address the patients' care toward a personalized therapy.

Combining olfactory test and motion analysis sensors in Parkinson's disease preclinical diagnosis: a pilot study.

Objectives: Preclinical diagnosis of Parkinson's disease (PD) is nowadays a topic of interest as the neuropathological process could begin years before the appearance of motor symptoms. Several symptoms, among them hyposmia, could precede motor features in PD. In the preclinical phase of PD, a subclinical reduction in motor skills is highly likely.

How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review.

Unlabelled: Parkinson's disease (PD) is a common and disabling pathology that is characterized by both motor and non-motor symptoms and affects millions of people worldwide. The disease significantly affects quality of life of those affected. Many works in literature discuss the effects of the disease.

Preliminary evaluation of SensHand V1 in assessing motor skills performance in Parkinson disease.

Nowadays, the increasing old population 65+ as well as the pace imposed by work activities lead to a high number of people that have particular injuries for limbs. In addition to persistent or temporary disabilities related to accidental injuries we must take into account that part of the population suffers from motor deficits of the hands due to stroke or diseases of various clinical nature. The most recurrent technological solutions to measure the rehabilitation or skill motor performance of the hand are glove-based devices, able to faithfully capture the movements of the hand and fingers.

The validity and reliability of the Italian Olfactory Identification Test (IOIT) in healthy subjects and in Parkinson's disease patients.

Background: Olfactory function can be rapidly evaluated by means of standardized olfactory tests. Multiple-choice smell identification tests can be conditioned by cultural background. To investigate a new tool for detecting olfactory deficit in Italian subjects we developed a multiple-choice identification test prepared with odorants belonging to the Italian culture.

Mucus of the human olfactory epithelium contains the insulin-like growth factor-I system which is altered in some neurodegenerative diseases.

Growth factors are believed to be involved in the mitotic regulation of the animal olfactory epithelium (OE). We investigated mucus covering the human OE area to see if it contained the insulin-like growth factor-I (IGF-I) and its binding proteins (IGFBPs) and to examine their behaviour in neurodegenerative diseases. Thirty patients with idiopathic late onset cerebellar ataxia (ILOCA), Parkinson's disease, and amyotrophic lateral sclerosis (ALS) and 30 age- and sex-matched healthy subjects were studied.

Electrophoretic pattern of physiological human nasal secretions.

Various proteins have been detected in human nasal mucus, but their electrophoretic pattern has not been extensively investigated. Therefore, we have studied this pattern in nasal mucus samples from a group of 40 healthy subjects (20 males and 20 females). The electrophoretic separations have been performed under both native and denaturing conditions.

Clozapine in Huntington's chorea.

In an open-label trial, we evaluated the efficacy of clozapine on abnormal involuntary movements in five patients with Huntington's chorea. We administered clozapine at increasing doses of 25, 50, and 150 mg/d for 3 weeks. Subjective self-evaluation of all patients reported reduction of chorea and improvement of daily living activities.

[Dexamethasone therapy in Huntington chorea: preliminary results].

Neuroleptic drugs represent the current therapy for Huntington's chorea (HC). However neuroleptics can improve involuntary movements, but not functional performance and disease progression. Several clinical and experimental data suggest the existence of functional relationship between corticosteroids and extrapyramidal system.

Descriptive epidemiologic study of epilepsy syndromes in a district of northwest Tuscany, Italy.

To evaluate the prevalence of epilepsy syndromes in a district in Northwest Tuscany (Vecchiano, 9,952 inhabitants) we identified all suspected cases (probable epilepsy) from several information sources: files of local doctors, prescriptions of antiepileptic drugs (AEDs), hospital files from the center for epilepsy at the University of Pisa, medical files from university and hospital departments in Pisa, and files of the school doctors and social workers in the district of Vecchiano. All persons suspected of having epilepsy were examined; 51 cases of epilepsy were found, i.e.